BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA APPLICATA

NUOVI ARRIVI OTTOBRE - DICEMBRE  2009
Robert L. Phillips.
Pricing and revenue optimization.
Stanford university press 2005
This is the first comprehensive introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of "yield management" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revene optimization invaluable.
Coll. 5 Oa 39

Patrick L. Anderson.
Business economics and finance with Matlab, GIS, and simulation models.
Champman & Hall/CRC 2005

Indice: Bringing Analytic Power to the Internet. Sharing and Displaying Information on the Web. MATLAB and Simulink Design Guidelines. Library Functions for Business Economics. Economic and Fiscal Impact Models. Applications for Finance, Manufacturing, Public Policy and other fields. Fuzzy Logic Business Applications. Modeling Retail Sales. Applications for Public Policy. Graphics.

Coll. 5 Oa 38


Josè Figueira  - Salvatore Greco -  Matthias Enhrgott.
Multiple criteria decision analysis.
MIT Press 2005
Indice:Introduction.- Paradigms and Challenges.- Preference Modelling.- Conjoint Measurement Tools for MCDM.- ELECTRE Methods.- PROMETHEE Methods.- Other Outranking Approaches.- MAUT: Multiattribute Utility Theory.- UTA Methods.- The Analytic Hierarchy and Analytic Network Processes for the Measurement of Intangible Criteria and for Decision-Making.- On the Mathematical Foundation of MACBETH.- Dealing with Uncertainties in MCDA.- Choice, Ranking and Sorting in Fuzzy Multiple Criteria Decision Aid.- Decision Rule Approach.- Fuzzy Measures and Integrals in MCDA.- Verbal Decision Analysis.- Interactive Methods.- Multiobjective Programming.- Multiple Objective Linear Programming with Fuzzy Coefficients.- MCDM Location Problems.- Multicriteria Decision Aid/Analysis in Finance.- MCDA and Energy Planning.- Multicriteria Analysis in Telecommunication Network Planning and Design/Problems and Issues.- Multiple Criteria Decision Analysis and Sustainable Development.- Multiple Criteria Decision Support Software.- References.- Contributing Authors.- Index.
Coll. 5 Oa 37

Peter  Gardenfors. 
Conceptual spaces : the geometry of thought.
MIT Press 2004
Within cognitive science, two approaches currently dominate the problem of modelling representations. The symbolic approach views cognition as computation involving symbolic manipulation. Connectionism, a special case of associationism, models associations using artificial neuron networks. Peter Gardenfors offers his theory of conceptual representations as a bridge between the symbolic and connectionist approaches. Symbolic representation is particularly weak at modeling concept learning, which is paramount for understanding many cognitive phenomena. Concept learning is closely tied to the notion of similarity, which is also poorly served by the symbolic approach. Gardenfors's theory of conceptual spaces presents a framework for representing information on the conceptual level. A conceptual space is built up from geometrical structures based on a number of quality dimensions. The main applications of the theory are on the constructive side of cognitive science: as a constructive model the theory can be applied to the development of artificial systems capable of solving cognitive tasks.
Coll. 5 Oa 36

Michael L.  Pinedo
Planning and scheduling in manufacturing and services.
Springer 2009.
Indice:Introduction.- Manufacturing Models.- Service Models.- Project Planning and Scheduling.- Machine Scheduling and Job Shop Scheduling.- Scheduling of Flexible Assembly Systems.- Economic Lot Scheduling.- Planning and Scheduling in Supply Chains.- Interval Scheduling, Reservations, and Timetabling.- Planning and Scheduling in Sports and Entertainment.- Planning, Scheduling, and Timetabling in Transportation.- Planning and Scheduling in Healthcare.- Workforce Scheduling.- Systems Design and Implementation.- Advanced Concepts in Systems Design.- What Lies Ahead?- Mathematical Programming Formulations.- Exact Optimization Methods.- Heuristic Methods.- Constraint Programing Methods.- Selected Scheduuling Sytems.- The LEKIN Systems User's Guide.- Notation.- References.- Index.
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Ian Yeoman -  Una McMahon-Beattie
Revenue management and pricing : case studies and applications.
Thomson-South western 2007.

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Simon Benninga  - Cristiano Zazzara
Modelli finanziari : la finanza con excel.
McGraw-Hill 2001.

Il libro consente al lettore di risolvere una vasta gamma di concreti problemi finanziari. Il testo affronta in ambienti Excel gli argomenti tipici della finanza matematica (analisi finanziaria, valutazione finanziaria, rendimenti finanziari). Il libro crea un ponte fra la teoria e la pratica finanziaria, fornendo al lettore gli strumenti operativi per imparare ad utilizzare la finanza nell'ambito dei problemi del mondo reale.
Con CD-ROM.

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Paolo Brandimarte.
Numerical methods in finance and economics : a Matlab-Based introduction.  
Wiley-interscience 2006.
Indice:Preface to the Second Edition.From the Preface to the First Edition.PART I. BACKGROUND.1. Motivation.2. Financial Theory.PART II. NUMERICAL METHODS.3. Basics of Numerical Analysis.4. Numerical Integration: Deterministic and Monte Carlo Methods.5. Finite Difference Methods for Partial Differential Equations.6. Convex Optimization.PART III. PRICING EQUITY OPTIONS.7. Option Pricing by Binomial and Trinomial Lattices.8. Option Pricing by Monte Carlo Methods.9. Option Pricing by Finite Difference Methods.PART IV. ADVANCED OPTMIZATION MODELS AND METHODS.10. Dynamic Programming.11. Linear Stochastic Programming Models with Recourse.12. Non-Convex Optimization.PART V. APPENDICES.Appendix A. Introduction to MATLAB Programming.Appendix B. Refresher on Probability theory and Statistics.Appendix C. Introduction to AMPL.Index.
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Yves Balasko.
The equilibrium manifold : postmodern developments in the theory of general economic equilibrium.  
Mit press
2009.
In "The Equilibrium Manifold", noted economic scholar and major contributor to the theory of general equilibrium Yves Balasko argues that, contrary to what many textbooks want readers to believe, the study of the general equilibrium model did not end with the existence and welfare theorems of the 1950s. These developments, which characterize the modern phase of the theory of general equilibrium, led to what Balasko calls the postmodern phase, marked by the reintroduction of differentiability assumptions and the application of the methods of differential topology to the study of the equilibrium equation. Balasko's rigorous study demonstrates the central role played by the equilibrium manifold in understanding the properties of the Arrow-Debreu model and its extensions. Balasko argues that the tools of differential topology articulated around the concept of equilibrium manifold offer powerful methods for studying economically important issues, from existence and uniqueness to business cycles and economic fluctuations. After an examination of the theory of general equilibrium's evolution in the hundred years between Walras and Arrow-Debreu, Balasko discusses the properties of the equilibrium manifold and the natural projection. He highlights the important role of the set of no-trade equilibria, the structure of which is applied to the global structure of the equilibrium manifold. He also develops a geometric approach to the study of the equilibrium manifold. Special effort has been made at reducing the mathematical technicalities without compromising rigor. "The Equilibrium Manifold" makes clear the ways in which the postmodern developments of the Arrow-Debreu model improve our understanding of modern market economies.
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Michael A Nielsen -  Isaac L Chuang.
Quantum computation and quantum information.  
Cambridg university press
2000.
Indice:Preface; Acknowledgement; Nomenclature and notation; Part I. Fundamental Concepts: 1. Introduction and overview; 2. Introduction to quantum mechanics; 3. Introduction to computer science; Part II. Quantum Computation: 4. Quantum circuits; 5. The quantum Fourier transform and its applications; 6. Quantum search algorithms; 7. Quantum computers: physical realisation; Part III. Quantum Information: 8. Quantum noise, open quantum systems, and quantum operations; 9. Distance measurement for quantum information; 10. Quantum error-correction; 11. Entropy and information; 12. Quantum information theory; Appendix A. Notes on basic probability theory; Appendix B. Group theory; Appendix C. Approximating quantum gates: the Solvay-Kitaev theorem; Appendix D. Number theory; Appendix E. Public-key cryptography and the RSA cryptosystem; Appendix F. Proof of Lieb's theorem; References; Index.
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Paul Anand  -  Prasanta K Pattanaik -  Clemens Puppe.
The handbook of rational and social choice.  
Oxford university press
2009.
Indice: Introduction; UTILITY THEORY, RATIONALITY AND DECISION-MAKING; 1. Expected Utility Theory; 2. Rank-dependent Utility; 3. Applications of Non-Expected Utility; 4. Ambiguity; 5. The Normative Status of the Independence Axiom; 6. The Rationality of Intransitive Preference: Foundations for the Modern View; 7. Dutch Book Arguments; 8. Experimental Tests of Rationality; 9. State-Dependent Utility; 10. Choice over Time; 11. Imitation and Learning; 12. Diversity; SOCIAL CHOICE AND WELFARE; 13. Limits of Utilitarianism as the Ethical Basis of Public Action; 14. Consequentialism and Non-Consequentialism: The Axiomatic Approach; 15. Freedom of Choice; 16. Responsibility; 17. Equality and Priority; 18. Rawlsian Justice; 19. Judgement Aggregation: A Survey; 20. Population Ethics; 21. Distributive Justice: An Overview of Experimental Evidence; 22. Social Choice in Health and Healthcare; 23. The Capabilities Approach
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Mike Mesterton-Gibbons .
A primer on the calculus of variations and optimal control theory.  
American mathematical society
2009.
'The calculus of variations is used to find functions that optimize quantities expressed in terms of integrals. Optimal control theory seeks to find functions that minimize cost integrals for systems described by differential equations. This book is an introduction to both the classical theory of the calculus of variations and the more modern developments of optimal control theory from the perspective of an applied mathematician. It focuses on understanding concepts and how to apply them. The range of potential applications is broad: the calculus of variations and optimal control theory have been widely used in numerous ways in biology, criminology, economics, engineering, finance, management science, and physics. Applications described in this book include cancer chemotherapy, navigational control, and renewable resource harvesting. The prerequisites for the book are modest: the standard calculus sequence, a first course on ordinary differential equations, and some facility with the use of mathematical software. It is suitable for an undergraduate or beginning graduate course, or for self study. It provides excellent preparation for more advanced books and courses on the calculus of variations and optimal control theory.
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Adam Colin.
Riot at the calc exam and oder mathemathically bent stories   
American mathematical society
2009.
What's so funny about math? Lots! Especially if you're mathematically bent. In the world of Colin Adams, differential equations bring on tears of laughter. Hollywood producers hire algebraic geometers to punch up a script. In this world, math and humor are synonymous. "Riot at the Calc Exam" is a proof of this fact. A collection of humorous math stories, this book gives a window into mathematics and the culture of mathematicians. This title is appropriate for mathematicians, math students, math teachers, lay people with an interest in mathematics, and indeed everyone else. This book is a romp through the wild world of mathematics.
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Andrea Pascucci - Wolfgang J. Runggaldier.
Finanza matematica.

Springer 2009.
La finanza matematica ha visto un notevole sviluppo in tempi recenti, soprattutto per l'introduzione di strumenti finanziari atti a contenere il rischio nelle operazioni di mercato. Lo studio delle problematiche legate a tali strumenti richiede tecniche matematiche talvolta sofisticate e la maggior parte di queste tecniche sono legate alla teoria della Probabilità. Gli ambienti finanziari sono quindi divenuti uno sbocco professionale non solo per gli economisti, ma anche per i matematici ed in generale per i laureati delle discipline tecnico-scientifiche. Il presente libro è inteso come testo e nasce dall'esperienza d'insegnamento degli autori.

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Lorenzo Robbiano.
Algebra lineare per tutti.

Springer 2007.
È luogo comune il fatto che la matematica non sia materia per tutti ed è vero che uno degli ostacoli alla sua diffusione sono spesso i matematici stessi (per fortuna non tutti). Alcuni di essi tendono a sviluppare un linguaggio astruso, difficile, o addirittura talvolta incomprensibile persino per gli esperti di settori limitrofi. E se provassimo a chiedere ad un matematico di professione di estraniarsi per un poco dal suo linguaggio abitudinario e parlare e scrivere in modo più lineare? E se gli chiedessimo addirittura di essere vivace? E perché non esagerare e chiedergli di essere a tratti persino divertente? Lo scopo di questo libro è quello di fornire i primi strumenti matematici relativi ad un capitolo della scienza che si chiama Algebra Lineare. Il testo è stato scritto da un matematico che ha cercato di uscire dal suo personaggio per venire incontro ad un pubblico ampio.

Coll. 5 Oa 25 (Testo d'esame)


Vivina Barutello - Monica Conti - Davide L. Ferrario - Susanna Terracini - Gianmaria Verzini.
Analisi matematica.

Apogeo 2008.
Questo libro nasce dal tentativo di trovare un equilibrio ragionevole fra astrazione e pratica, fra sintesi e banalizzazione. Da un lato è stato enfatizzato il rapporto fra l'analisi matematica e le altre scienze, riconoscendo il giusto spazio all'approfondimento delle tecniche di calcolo più utili nelle applicazioni e lasciando agio al lettore di osservare come i concetti dell'analisi matematica siano fondamentali nell'enunciazione delle leggi di base di altre discipline scientifiche e nella deduzione delle conseguenze di tali leggi. Dall'altro lato si è voluto evitare che l'esercizio meccanico di tecniche di calcolo semplificate e l'eccessiva banalizzazione dei contenuti teorici impedissero il raggiungimento di un livello di autonomia sufficiente all'elaborazione critica (o anche solo ragionata) dei concetti e delle stesse metodologie di calcolo. Si è dunque ritenuto necessario indicare al lettore la via dell'astrazione, vista però più come un processo dinamico, la cui necessità deriva dalla pratica dell'elaborazione concettuale, che come un esercizio fine a sé stesso. L'opera si propone quindi l'obiettivo primario di offrire agli studenti il senso di cosa sia e a cosa serva una teoria matematica, ricomponendola, attraverso riquadri di approfondimento, esercizi teorici guidati, problemi e intermezzi storici, in una visione prospettica di unità culturale e concettuale.

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Paolo Atzeni -  Stefano Ceri - Stefano Paraboschi - Riccardo Torlone.
Le basi di dati.

McGraw Hill 2009.

Coll. 5 Oa 23 (Testo d'esame)

Dario Spelta.
Teoria matematica delle assicurazioni sulla vita.

Pitagora 2001.


Coll. 5 Oa 22 (Testo d'esame)

Carlo Vercellis.
Ottimizzazione.

McGraw-Hill, 2008.


Coll. 5 Oa 21 (Testo d'esame)

Angelo Guerraggio.
Matematica.

Bruno Mondadori, 2004.


Coll. 5 Oa 20 (Testo d'esame)

Raa Thijs Ten.
The economics of benchmarking.

Palgrave : Macmillan , 2009.
Indice:What is Benchmarking and Why is it Useful?; Linear Programming in one Lesson; The Technique of Benchmarking; Case study 1: Spanish Restaurants; Case study 2: Indian Banks; Case study 3: Korean Quality Management; Case study 4: Austrian Banking Deregulation; Efficiency, Productivity and Profitability; Case study 5: U.S. Manufacturing; Case study 6: U.S. Hotels; Case study 7: European Railways Efficiency; Ranking; Case study 8: Dutch Economics and Business Schools; Returns to Scale; Case study 9: U.S. Real Estate Investment Trusts; Case study 10: European Railways Returns to Scale; Concluding Remarks.
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Dean Corbae - Maxwell B. Stinchcombe - Juraj Zeman.
An introduction to mathematical analysis for economic theory and econometrics.

PrincetonUniversity Press, 2009.
Providing an introduction to mathematical analysis as it applies to economic theory and econometrics, this book bridges the gap that has separated the teaching of basic mathematics for economics and the increasingly advanced mathematics demanded in economics research today. Dean Corbae, Maxwell B. Stinchcombe, and Juraj Zeman equip students with the knowledge of real and functional analysis and measure theory they need to read and do research in economic and econometric theory. Unlike other mathematics textbooks for economics, "An Introduction to Mathematical Analysis for Economic Theory and Econometrics" takes a unified approach to understanding basic and advanced spaces through the application of the Metric Completion Theorem. This is the concept by which, for example, the real numbers complete the rational numbers and measure spaces complete fields of measurable sets. Another of the book's unique features is its concentration on the mathematical foundations of econometrics. To illustrate difficult concepts, the authors use simple examples drawn from economic theory and econometrics. Accessible and rigorous, the book is self-contained, providing proofs of theorems and assuming only an undergraduate background in calculus and linear algebra. It begins with mathematical analysis and economic examples accessible to advanced undergraduates in order to build intuition for more complex analysis used by graduate students and researchers. It takes a unified approach to understanding basic and advanced spaces of numbers through application of the Metric Completion Theorem. It focuses on examples from econometrics to explain topics in measure theory.
Coll. 5 Oa 18


Joseph E.  Harrington.
Games, strategies, and decision making.

Worth, 2009.
Indice: PART I: LAYING THE FOUNDATIONS Introduction to Strategic Reasoning Building A Model of A Strategic Situation PART II: SOLVING STRATEGIC FORM GAMES Eliminating the Impossible:Solving A Game When Rationality is Common Knowledge Stable Play: Nash Equilibria in Discrete Games with Two Or Three Players Stable Play:Nash Equilibria in Discrete N-Player Games Stable Play: Nash Equilibria in Continuous Games Keep 'Em Guessing: Randomized Strategies PART III: SOLVING EXTENSIVE FORM GAMES Taking Turns: Sequential Games of Perfect Information Taking Turns in the Dark: Sequential Games of Imperfect Information PART IV: GAMES OF INCOMPLETE INFORMATION I Know Something You Don't Know: Games with Private Information What You Do Tells Me Who You Are: Signaling Games Lies and the Lying Liars that Tell Them: Cheap Talk Games PART V: REPEATED GAMES Playing Forever: Repeated Interaction with Infinitely-Lived Players Cooperation and Reputation: Applications of Repeated Interaction with Infinitely-Lived Players Interaction in Infinitely-Lived Institutions PART VI: EVOLUTIONARY GAME THEORY AND BIOLOGY Evolutionary Game Theory and Biology: Evolutionarily Stable Strategies Evolutionary Game Theory and Biology: Replicator Dynamics
Coll. 5 Oa 17

Michel Grabisch - Jean Luc Marichal - Radko Mesiar - Endre Pap .
Aggregation functions.

Cambridge University Press, 2009.
Indice: Preface; 1. Introduction; 2. Properties for aggregation; 3. Conjunctive and disjunctive aggregation functions; 4. Means and averages; 5. Aggregation functions based on nonadditive integrals; 6. Construction methods; 7. Aggregation on specific scale types; 8. Aggregation on ordinal scales; 9. Aggregation on bipolar scales; 10. Behavioral analysis of aggregation functions; 11. Identification of aggregation functions; A. Aggregation of infinitely many arguments; B. Examples and applications; List of symbols; Bibliography; Index.
Coll. 5 Oa 16



Annick 
Laruelle - Federico Valenciano.
Voting and collective decision-making.

Cambridge University Press, 2008.
Indice: List of figures; Preface; 1. Preliminaries; 2. Seminal papers, seminal ambiguities; 3. Take-it-or-leave-it committees; 4. Bargaining committees; 5. Application to the European Union; Index.
Coll. 5 Oa 15


Frederick
de Jong - Barbara Rindi.
The microstructure of financial markets.

Cambridge University Press, 2009.
Indice:List of figures; List of tables; Preface; Introduction; 1. Institutions and market structure; 2. Financial market equilibrium; 3. Batch markets with strategic informed traders; 4. Dealer markets: information-based models; 5. Inventory models; 6. Empirical models of market microstructure; 7. Liquidity and asset pricing; 8. Models of the limit order book; 9. Price discovery; 10. Policy issues in financial market structure; Index.
Coll. 5 Oa 14



Hernandez Cesareo - Marta Posada - Adolfo Lopez Paredes
.
Artificial Economics.

Springer, 2009
.
Indice:Part I: Macroeconomics.- Part II: Industrial Organization.- Part III: Market Dynamics and Auctions.- Part IV: Finance.- Part V: Financial Markets.- Part VI: Information and Learning.- Part VII: Methodological Issues
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David S. Richeson.
Euler's gem.

Priceton University Press, 2008
.
Indice:Preface ix Introduction 1 Chapter 1: Leonhard Euler and His Three "Great" Friends 10 Chapter 2: What Is a Polyhedron? 27 Chapter 3: The Five Perfect Bodies 31 Chapter 4: The Pythagorean Brotherhood and Plato's Atomic Theory 36 Chapter 5: Euclid and His Elements 44 Chapter 6: Kepler's Polyhedral Universe 51 Chapter 7: Euler's Gem 63 Chapter 8: Platonic Solids, Golf Balls, Fullerenes, and Geodesic Domes 75 Chapter 9: Scooped by Descartes? 81 Chapter 10: Legendre Gets It Right 87 Chapter 11: A Stroll through Konigsberg 100 Chapter 12: Cauchy's Flattened Polyhedra 112 Chapter 13: Planar Graphs, Geoboards, and Brussels Sprouts 119 Chapter 14: It's a Colorful World 130 Chapter 15: New Problems and New Proofs 145 Chapter 16: Rubber Sheets, Hollow Doughnuts, and Crazy Bottles 156 Chapter 17: Are They the Same, or Are They Different? 173 Chapter 18: A Knotty Problem 186 Chapter 19: Combing the Hair on a Coconut 202 Chapter 20: When Topology Controls Geometry 219 Chapter 21: The Topology of Curvy Surfaces 231 Chapter 22: Navigating in n Dimensions 241 Chapter 23: Henri Poincare and the Ascendance of Topology 253 Epilogue The Million-Dollar Question 265 Acknowledgements 271 Appendix A Build Your Own Polyhedra and Surfaces 273 Appendix B Recommended Readings 283 Notes 287 References 295 Illustration Credits 309 Index 311
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Gilboa Itzhak.
Theory of decision under uncertainty.

Cambridge University Press, 2009
. 
indice: 1. Preface; 2. Motivating examples; 3. Free will and determinism; 4. The principle of indifference; 5. Relative frequencies; 6. Subjective probabilities; 7. A case study; 8. The role of theories; 9. Von Neumann and Morgenstern's theorem; 10. De Finetti's theorem; 11. Savage's theorem; 12. The definition of states; 13. A critique of Savage; 14. Objectivity and rationality; 15. Anscombe-Aumann's theorem; 16. Choquet expected utility; 17. Prospect theory; 18. Maxmin expected utility; 19. Case-based qualitative beliefs; 20. Frequentism revisited; 21. Future research.   
Coll. 5 Oa 11                              

Jim Pitman.
Combinatorial stochastic processes.
Springer, 2006
.
indice: Preliminaries.- Bell polynomials, composite structures and Gibbs partitions.-Exchangeable random partitions.- Sequential constructions of random partitions.- Poisson constructions of random partitions.- Coagulation and fragmentation processes.- Random walks and random forests.- The Brownian forest.- Brownian local times, branching and Bessel processes.- Brownian bridge asymptotics for random mappings.- Random forests and the additive coalescent.- Bibliography.- Index.
Coll. 5 Oa 10

G. H. Hardy.
An Introduction to the Theory of Numbers.
Oxford University Press, 2008
.
indice: PREFACE TO THE SIXTH EDITION; PREFACE TO THE FIFTH EDITION; 1. The Series of Primes (1); 2. The Series of Primes (2); 3. Farey Series and a Theorem of Minkowski; 4. Irrational Numbers; 5. Congruences and Residues; 6. Fermat's Theorem and its Consequences; 7. General Properties of Congruences; 8. Congruences to Composite Moduli; 9. The Representation of Numbers by Decimals; 10. Continued Fractions; 11. Approximation of Irrationals by Rationals; 12. The Fundamental Theorem of Arithmetic in k(l), k(i), and k(p); 13. Some Diophantine Equations; 14. Quadratic Fields (1); 15. Quadratic Fields (2); 16. The Arithmetical Functions o(n), (n), *d(n), sigma(n), r(n); 17. Generating Functions of Arithmetical Functions; 18. The Order of Magnitude of Arithmetical Functions; 19. Partitions; 20. The Representation of a Number by Two or Four Squares; 21. Representation by Cubes and Higher Powers; 22. The Series of Primes (3); 23. Kronecker's Theorem; 24. Geometry of Numbers; 25. Elliptic Curves; APPENDIX; LIST OF BOOKS; INDEX OF SPECIAL SYMBOLS AND WORDS; INDEX OF NAMES; GENERAL INDEX
Coll. 5 Oa 9


Sandro
Salsa .
Equazioni a derivate parziali.
Springer, 2007
.
 Il testo nasce dall'esigenza di offrire un'introduzione alle equazioni a derivate parziali strutturata in modo da abituare il lettore ad una sinergia di metodologie teoriche e modellistiche nell'affrontare un dato problema. Si rivolge prevalentemente a studenti di Ingegneria, Fisica e Matematica, ma costituisce un utile punto di riferimento anche per coloro che desiderano approfondire alcuni aspetti teorici e modellistici di questa importante disciplina.
Coll. 5 Oa 8

NUOVI ARRIVI LUGLIO  - SETTEMBRE  2009
Ermanno Pitacco.
Elementi di matematica delle assicurazioni.
LINT, 2009.
Il volume si propone come supporto didattico per la matematica delle assicurazioni in corsi di laurea di tipo economico e può dunque essere impiegato in insegnamenti quali Matematica finanziaria, Matematica attuariale, Tecnica delle assicurazioni, Teoria del rischio, ecc., svolgendo un importante ruolo di "veicolo" di cultura assicurativa. Esso può altresì essere utilizzato per corsi di formazione rivolti a funzionari e tecnici (non attuari) operanti in ambito assicurativo (e finanziario), interessati ad acquistare una buona preparazione sulle strutture fondamentali del calcolo attuariale.
La trattazione riguarda prevalentemente le assicurazioni individuali sulla vita (o, più propriamente, sulla "durata di vita"). Non sono peraltro trascurati gli elementi di base delle assicurazioni contro i danni , delle assicurazioni sulla salute e (ancora nell'ambito delle assicurazioni vita) delle forme previdenziali per collettività. Pertanto, gli argomenti trattati abbracciano in particolare le principali tematiche attuariali inerenti alle prestazioni erogabili nel contesto della previdenza complementare.
L'approccio matematico adottato è elementare, richiedendo soltanto una conoscenza delle basi del calcolo delle probabilità.

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C.T.J. Dodson - T. Poston.
Tensor geometry.
Springer, 1997.

This treatment of differential geometry and the mathematics required for general relativity makes the subject of this book accessible for the first time to anyone familiar with elementary calculus in one variable and with a knowledge of some vector algebra. The emphasis throughout is on the geometry of the mathematics, which is greatly enhanced by the many illustrations presenting figures of three and more dimensions as closely as book form will allow. The imaginative text is a major contribution to expounding the subject of differential geometry as applied to studies in relativity, and will prove of interest to a large number of mathematicians and physicists. Review from L'Enseignement Mathematique

Coll. 5 Oa 6


Masao Mukaidono.
Fuzzy logic for beginners.
World scientific, 2001.
There are many uncertainties in the real world. Fuzzy theory treats a kind of uncertainty called fuzziness, where it shows that the boundary of yes and no is ambiguous and appears in the meaning of words or is included in the subjunctives or recognition of human beings. Fuzzy theory is essential and is applicable to many systems - from consumer products like washing machines or refrigerators to big systems like trains or subways. Recently, fuzzy theory has been a strong tool for combining new theories (called soft computing) such as genetic algorithms or neural networks to get knowledge from real data. This introductory book enables the reader to understand easily what fuzziness is and how we can apply fuzzy theory to real problems - which explains why it was a best-seller in Japan.
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David Colander  - Richard P.F. Holt - Rosser J. Barkley.
The changing face of economics : conversations with Cutting Edge economists.
University of Michigan press, 2009.


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David A. Levin - Yuval Peres - Elisabeth L. Wilmer.
Markov chains and mixing times.
American mathematical society, 2009.
This book is an introduction to the modern approach to the theory of Markov chains. The main goal of this approach is to determine the rate of convergence of a Markov chain to the stationary distribution as a function of the size and geometry of the state space. The authors develop the key tools for estimating convergence times, including coupling, strong stationary times, and spectral methods. Whenever possible, probabilistic methods are emphasized. The book includes many examples and provides brief introductions to some central models of statistical mechanics. Also provided are accounts of random walks on networks, including hitting and cover times, and analyses of several methods of shuffling cards. As a prerequisite, the authors assume a modest understanding of probability theory and linear algebra at an undergraduate level. "Markov Chains and Mixing Times" is meant to bring the excitement of this active area of research to a wide audience.
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Ermanno Pitacco.
Modelli attuariali per le assicurazioni sulla salute.
Egea, 1995.

Uno strumento di aggiornamento culturale e professionale a disposizione del tecnico impegnato nella progettazione e nella realizzazione di singoli prodotti assicurativi e di “pacchetti previdenziali” individuali. Superando la tradizionale distinzione tra rami vita e danni, ma accomunando tutte le forme di assicurazione che mirano a tutelare la salute.


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Brian Hayes.
Group theory in the bedroom and other mathematical diversions.
Hill and Wang, 2008.

Coll. 5 Oa 1

Emilio Barucci - Claudio Marsala - Matteo Nencini - Carlo Sgarra.
Ingegeneria finanziaria : un'introduzione quantitativa.
Egea, 2009.
Il libro propone un'introduzione all'ingegneria finanziaria e alla finanza quantitativa partendo dai suoi fondamenti. Senza rinunciare a una trattazione rigorosa sono presentati in modo semplice i principali risultati della moderna finanza quantitativa riguardo a scelte di portafoglio, valutazione di titoli obbligazionari, analisi dei rendimenti, valutazione dei titoli derivati (equity, bond, credito), analisi del rischio. Il volume è pensato per studenti universitari di materie finanziarie (facoltà di economia, scienze bancarie, matematica, ingegneria, fisica) ma anche per professionisti interessati ad approfondire le tematiche inerenti all'ingegneria finanziaria con particolare attenzione alle seguenti specializzazioni: gestione dei portafogli, analisti finanziari, wealth management, pricing di titoli derivati, trading, valutazione di titoli derivati, risk management, strutturazione di prodotti finanziari. Il libro presenta oltre 150 tra esercizi ed esempi svolti e programmi in Matlab a complemento delle materie trattate.
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NUOVI ARRIVI APRILE - GIUGNO  2009
Israel Giorgio - Millan Gasca Ana.
Il mondo come gioco matematico : la vita e le idee di John von Neumann.
Bollati Boringhieri, 2008.
Galileo e Newton dimostrarono che è possibile rappresentare il mondo fisico con la matematica. Leibniz si dedicò al progetto di costruire un calcolo logico universale, capace di guidare meccanicamente il pensiero umano. Gli illuministi credettero nella possibilità di matematizzare le relazioni sociali per renderle razionali. Attorno al Circolo di Vienna si sviluppò l'idea di un'etica come scienza esatta, capace di orientare l'individuo nella scelta di decisioni corrette mediante l'analisi logico-matematica. Von Neumann ereditò tutte queste aspirazioni e intuizioni filosofiche più o meno antiche, proponendo una concezione del mondo come gioco matematico: un mondo retto globalmente da una logica universale, in cui le coscienze individuali si muovono seguendo diverse strategie. Sostenuto da capacità matematiche smisurate, che gli consentirono di lasciare una traccia quasi in ogni settore della matematica e della fisica matematica, e dalla fiducia nel potere dei calcolatori, von Neumann consacrò la sua vita a questo progetto fantastico, il cui culmine fu la concezione di una teoria degli automi, capace di modellizzare e sistematizzare la coscienza di un "essere" perfettamente logico che interagisce con la realtà scambiando informazione matematizzata. Figura poco nota e controversa, Von Neumann introdusse nel dibattito intellettuale e nella scienza del XX secolo elementi profondamente inquietanti, che erano stati già avvertiti alla fine dell'Ottocento, con toni apocalittici.
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Adler Robert J - Taylor Jonathan E.
Random fields and geometry.
Springer, 2007.

Preface.- Part I. Gaussian Processes. Gaussian Fields. Gaussian Inequalities. Orthogonal Expansions. Excursion Probabilities. Stationary Fields.- Parat II. Geometry. Integral Geometry. Differential Geometry. Piecewise Smooth Manifolds. Critical Point Theory. Volume of Tubes.- Part III. The Geometry of Random Fields. Random Fields on Euclidean Spaces. Random Fields on Manifolds. Mean Intrinsic Volumes. Excursion Probabilities for Smooth Fields. Non-Gaussian Geometry.- References.- Index.

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Andersen Kirsti. 
The geometry of an art : the history of the mathematical theory of perspective from Alberti to Monge.

Springer , 2007.

Introduction.- Acknowledgements.- Notes to the reader.- The birth of perspective.- Alberti and Piero della Francesca.- Leonardo da Vinci.- Italy in cinquecento.- North of the Alps before sixteen hundred.- The birth of the mathematical theory of perspective: Guidobaldo and Stevin.- The Dutch development after Stevin.- Italy after Guidobaldo.- France and the Southern Netherlands after 1600.- Britain.- The German speaking areas after 1600.- Lambert.- Monge closing a circle.- Summing up.- Appendix: On ancient roots of perspective.- Appendix: The Appearance of a rectangle a la Leonardo da Vinci.- Appendix: 'sGravesande taking recourse to the infinitesimal calculus to draw a column base in perspective.- Appendix: The perspective sources, listed countrywise.- Bibliography.- Index.
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Kelley John L. 
General topology.

Springer-Verlag , 1995.

Index: Preface; 0. Preliminaries; 1. Topological Spaces; 2. Moore-SmithConvergence; 3. Product and Quotient Spaces; 4. Embedding andMetrization; 5. Compact Spaces; 6. Uniform Spaces; 7. Function Spaces;Appendix


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Aste Tomaso - Weaire Denis
The pursuit of perfect packing.
Taylor and Francis, 2008.
Historically problematic, the packing of solid structures is central to many areas of science. Written by Thomas Aste and Dennis Wearie, renowned for his work on the Wearie-Phelan Structure, this book describes packing models and provides historical and biographical details of the key players in the field. The first edition was regarded by many as the best introductory/elementary book on the topic. Completely revised, extended, and updated, this second edition maintains its mathematical core and includes examples of packing problems in a range of disciplines and applications, including the remarkable Water Cube building of the Beijing Olympics and can be easily read by a non-specialist, including those interested in the current interplay of science, art, and design.



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NUOVI ARRIVI GENNAIO - MARZO 2009
Shoham Yoav - Leyton-Brown Kevin
Multiagent systems : algorithmic, game-theoretic, and logical foundations.
Cambridge university press, 2009.
Distributed constraint satisfaction; 2. Distributed optimization; 3. Introduction to non-cooperative game theory; 4. Computing solution concepts of normal-form games; 5. Games with sequential actions; 6. Richer representations; 7. Learning and teaching; 8. Communication; 9. Aggregating preferences; 10. Protocols for strategic agents; 11. Protocols for multiagent resource allocation; 12. Teams of selfish agents; 13. Logics of knowledge and belief; 14. Beyond belief.

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Coon Andrew R. - Scheinberg Katya - Vicente Luis N.
Introduction to derivate-free optimization.
SIAM, 2009.
Preface; 1. Introduction; Part I. Sampling and Modeling: 2. Sampling and linear models; 3. Interpolating nonlinear models; 4. Regression nonlinear models; 5. Underdetermined interpolating models; 6. Ensuring well poisedness and suitable derivative-free models; Part II. Frameworks and Algorithms: 7. Directional direct-search methods; 8. Simplicial direct-search methods; 9. Line-search methods based on simplex derivatives; 10. Trust-region methods based on derivative-free models; 11. Trust-region interpolation-based methods; Part III. Review of Other Topics: 12. Review of surrogate model management; 13. Review of constrained and other extensions to derivative-free optimization; Appendix: software for derivative-free optimization; Bibliography; Index.
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Griva Igor - Nash Stephen G. - Sofer Ariela.
Linear and nonlinear optimization.
SIAM, 2009.

Preface; Part I. Basics: 1. Optimization models; 2. Fundamentals of optimization; 3. Representation of linear constraints; Part II. Linear Programming: 4. Geometry of linear programming; 5. The simplex method; 6. Duality and sensitivity; 7. Enhancements of the simplex method; 8. Network problems; 9. Computational complexity of linear programming; 10. Interior-point methods of linear programming; Part III. Unconstrained Optimization: 11. Basics of unconstrained optimization; 12. Methods for unconstrained optimization; 13. Low-storage methods for unconstrained problems; Part IV. Nonlinear Optimization: 14. Optimality conditions for constrained problems; 15. Feasible-point methods; 16. Penalty and barrier methods; Part V. Appendices: Appendix A. Topics from linear algebra; Appendix B. Other fundamentals; Appendix C. Software; Bibliography; Index.1.
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Berkovich Yakov - Janko Zvonimir.
Groups of prime power order. Volume 2.
De Gruyter, 2008.


Part of the three volumes on finite p-group theory.




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Berkovich Yakov.
Groups of prime power order. Volume 1.
De Gruyter, 2008.
This is the first of three volumes on finite p-group theory. It presents the state of the art and in addition contains numerous new and easy proofs of famous theorems, many exercises (some of them with solutions), and about 1500 open problems. It is expected to be useful to certain applied mathematics areas, such as combinatorics, coding theory, and computer sciences. The book should also be easily comprehensible to students and scientists with some basic knowledge of group theory and algebra.
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Laudon Kenneth C. - Laudon Jane P.
Management dei sistemi informativi.
Pearson, 2008.
Questo testo continua a offrire una trattazione completa e aggiornata di tutte le questioni legate all'information technology e ai sistemi informativi che stanno trasformando l'ambiente aziendale odierno. Gli autori sono ben consapevoli di come l'integrazione digitale stia cambiando la gestione e l'organizzazione delle imprese coinvolgendo tutti i livello e tutte le strutture e sanno bene quali sono le decisioni che i manager devono prendere per trarre valore dagli investimenti in strutture IT. Questa nuova edizione presenta alcune importanti novità. La gestione dei sistemi globali, con molti esempi di imprese internazionali, assume una maggiore rilevanza. Gli autori dedicano inoltre ampio spazio a temi cruciali per il futuro delle imprese, per esempio, lo rivoluzione del wireless, i sistemi per la gestione della conoscenza e un'analisi dettagliata delle opportunità offerte dalle nuove soluzioni tecnologiche.
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Atelli Massimiliano.  Gli strumenti derivati negli enti locali.
Il sole 24 ore , 2008.

Gli strumenti derivati negli enti locali Il loro andamento "deriva" da altri prodotti finanziari. Da qui la dose di rischio insita nei "derivati", che si confermano però come una importante opportunità per le amministrazioni a corto di risorse, impegnate in operazioni di ristrutturazione del debito o alla ricerca di fondi per nuovi investimenti. La Finanziaria di quest'anno, nonostante l'allarme sollevato da alcuni organi di stampa per alcune operazioni rischiose, ha abbracciato questa impostazione. Nessun limite, dunque, all'autonomia di Regioni, Comuni e Province ma, al contrario, una conferma della piena legittimità delle operazioni attive sul debito. Prevedendo, però, nel contempo, anche degli strumenti di monitoraggio e consulenza per i contratti stipulati dalle amministrazioni, non sempre munite delle professionalità richieste. Il volume fornisce una ricostruzione chiara e completa degli aspetti normativi, contrattuali e contabili del funzionamento e dell'utilizzo sul campo degli strumenti "derivati". Approfondendo, però, anche i profili di responsabilità degli amministratori e dei dirigenti in caso di danno patrimoniale.
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Kelton W. David - Sadowski Randall P. - Sturrock David T.
Simulation with arena.
Mc Graw Hill , 2007.
Index:1. What is Simulation? 2. Fundamental Simulation Concepts 3. A Guided Tour Through Arena 4. Modeling Basic Operations and Inputs 5. Modeling Detailed Operations 6. Statistical Design and Analysis of Terminating Simulations 7. Intermediate Modeling and Steady-State Statistical Analysis 8. Entity Transfer 9. A Sampler of Further Modeling Issues and Techniques 10. Arena Integration and Customization 11. Continuous and Combined Discrete/Continuous Models 12. Further Statistical Issues 13. Conducting Simulation Studies Appendix A: A Functional Specification for The Washington Post Appendix B: IIE/RS Contest Problems Appendix C: A Refresher or Probability and Statistics Appendix D: Arena's Probability Distributions Appendix E: Academic Software Installation Instructions References Index CD with current academic version of Arena and all examples used in the book
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Burkard Rainer E. - Dell'Amico Mauro - Martello Silvano. 
Assignment problems.
Siam , 2009.
Index: Preface; 1. Introduction; 2. Theoretical foundations; 3. Bipartite matching algorithms; 4. Linear sum assignment problem: sequential algorithms; 5. Further results on the linear sum assignment problem; 6. Other types of linear assignment problems; 7. Quadratic assignment problems: formulations and bounds; 8. Quadratic assignment problems: algorithms; 9. Other types of quadratic assignment problems; 10. Multi-index assignment problems; Bibliography; Author index; Subject index
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John H. Conway - Heidi Burgiel - Chaim Goodman-Strauss. 
The symmetries of things.
Wellesley : A. K. Peters , 2008.
Start with a single shape. Repeat it in some way - translation, reflection over a line, rotation around a point - and you have created symmetry. Symmetry is a fundamental phenomenon in art, science, and nature that has been captured, described, and analyzed using mathematical concepts for a long time. Inspired by the geometric intuition of Bill Thurston and empowered by his own analytical skills, John Conway, with his coauthors, has developed a comprehensive mathematical theory of symmetry that allows the description and classification of symmetries in numerous geometric environments. This richly and compellingly illustrated book addresses the phenomenological, analytical, and mathematical aspects of symmetry on three levels that build on one another and will speak to interested lay people, artists, working mathematicians, and researchers.
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Greg N. Gregoriou - Christian Hoppe (ed.). 
The handbook of credit portfolio management.
McGraw Hill , 2009.
Index:Section 1: Performance Measurement 1 Implementing Credit Portfolio Management 2 Credit Portfolio Management under IFRS Accounting 3 Basel II Framework and the Impact of a New Regulatory Universe on Credit Asset Management 4 Basel II Expected Loss in Credit Risk Management 5 Credit Risk Capital Allocation and Performance Measurement Section Two: Evaluation of Credit Risk 6 Characteristics of Credit Assets and relevance for Credit Portfolio Management 7 Measuring Credit Risk with Emphasis on CDOs 8 Model for the Rating Transitions in a SME Bank Loan Portfolio 9 Cost-to-Securitize as a Transfer Pricing Instrument 10 Mark-to-Market Pricing of Illiquid Loans Section Three: Managing Credit Exposure 11 A New Age of Liquidity for Bank Debt: Reshaping Loan Portfolio Management 12 Bank Loan Syndication 13 CDS and other Credit Derivatives -- Valuation and Application 14 Evaluation of Basket Credit Derivatives and STCDO Swaps 15 Classification and Characterization of CDS-Indices 16 Converting Derivatives Credit Risk Into Market Risk Section Four: Credit Portfolio Transactions 17 The Strategies of Hedge Funds in Fixed Income Markets 18 Trading CDS: Illustrating Positive and Negative Basis Arbitrage 19 Securitisation of Shipping Loans 20 Legal Issues in Securitizing Risky Loans 21 "How cheap is zero cost protection" 22 Managing Country Risk 23 The Role of Credit Banks in Corporate Workout-Management Index
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Margherita Disertori
. Random Schrodinger operators.
Societe mathematique de France , 2008.

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Christopher D. Manning - Prabhakar Raghavan - Hinrich Schutze.
Introduction tu information retrieval.
Cambridge University press, 2008.
Index:1. Information retrieval using the Boolean model; 2. The dictionary and postings lists; 3. Tolerant retrieval; 4. Index construction; 5. Index compression; 6. Scoring and term weighting; 7. Vector space retrieval; 8. Evaluation in information retrieval; 9. Relevance feedback and query expansion; 10. XML retrieval; 11. Probabilistic information retrieval; 12. Language models for information retrieval; 13. Text classification and Naive Bayes; 14. Vector space classification; 15. Support vector machines and kernel functions; 16. Flat clustering; 17. Hierarchical clustering; 18. Dimensionality reduction and latent semantic indexing; 19. Web search basics; 20. Web crawling and indexes; 21. Link analysis.
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Erik D. Demaine - Joseph O' Rourke.
Geometric folding algorithms : linkages, origami, polyhedra.
Cambridge University press, 2007.
Index:Introduction; Part I. Linkages: 1. Problem classification and examples; 2. Upper and lower bounds; 3. Planar linkage mechanisms; 4. Rigid frameworks; 5. Reconfiguration of chains; 6. Locked chains; 7. Interlocked chains; 8. Joint-constrained motion; 9. Protein folding; Part II. Paper: 10. Introduction; 11. Foundations; 12. Simple crease patterns; 13. General crease patterns; 14. Map folding; 15. Silhouettes and gift wrapping; 16. The tree method; 17. One complete straight cut; 18. Flattening polyhedra; 19. Geometric constructibility; 20. Rigid origami and curved creases; Part III. Polyhedra: 21. Introduction and overview; 22. Edge unfolding of polyhedra; 23. Reconstruction of polyhedra; 24. Shortest paths and geodesics; 25. Folding polygons to polyhedra; 26. Higher dimensions.
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Thomas William
Korner.
Naive decision making : mathematics applied to the social world. 
Cambridge University press, 2008.
Introduction; 1. A day at the races; 2. The long run; 3. The virtue of insurance; 4. Passing the time; 5. A pack of cards; 6. Other people; 7. Simple games; 8. Points of agreement; 9. Long duels; 10. A night at the casino; 11. Prophecy; 12. Final reflections; A. The logarithm; B. Cardano; C. Huygens's problems; D. Hints on pronunciation; Index.
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David Lovelock - Marilou Mandel - A. Larry Wright.
An Introduction to the mathematics of money : saving and investing. 
Springer , 2007.
Index:Preface.- Interest - Simple.- Interest - Compound.- Inflation and Taxes.- Annuities.- Loans and Risks.- Amortization.- Credit Cards.- Bonds.- Stocks and Stock Markets.- Stock Market Indexes, Pricing, and Risk.- Options.- Appendix: Induction, Recurrence Relations, Inequalities.- Appendix: Statistics.- Answers.- References.- Index.
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Knut Sydsaeter - Peter Hammond. Manuale di matematica per l'analisi economica.  Vita e pensiero , 2004.
Questo manuale costituisce una valida e completa introduzione all'analisi matematica per gli studenti di economia o di altri corsi di laurea che prevedano un esame di matematica generale. Dall'algebra elementare ai concetti più avanzati, i diversi temi vengono affrontati in maniera chiara e rigorosa, con un approccio che privilegia il ragionamento, frutto di una lunga esperienza di insegnamento. Ogni capitolo comprende un'ampia selezione di esempi svolti, attraverso i quali ciascun argomento viene trattato anzitutto da un punto di vista squisitamente matematico, per poi trovare applicazione in ambito più prettamente economico.
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Anthony Brabazon -  Michael O'Neill. Biologically inspired algorithms for financial modelling.  Springer, 2006.
Index:Introduction: Introduction.- Part 1 Methodologies: Introduction to Modelling.- Neural Network Methodologies.- Evolutionary Methodologies.- Grammatical Evolution.- The Particle Swarm Model.- Ant Colony Systems.- Artificial Immune Systems.- Part 2 Model Development: Model Development Process.- Technical Analysis.- Overview of Case Studies.- Index Prediction Using MLPs.- Part 3 Case Studies: Index Prediction Using a Hybrid MLP-GA.- Index Trading Using Grammatical Evolution.- Intra-day Trading Using Grammatical Evolution.- Automatic Generation of Foreign Exchange Trading Rules.- Corporate Failure Prediction Using GE.- Corporate Failure Prediction Using an Ant-Clustering Model.- Bond Rating Using GE.- Bond Rating Using AIS.- Wrap-up.- References.
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Christian Kassel - Vladimir Turaev ; with the graphical assistance of Olivier Dodane.

Braid groups.

Springer, 2008.
Index:Braids and Braid Groups.- Braids, Knots, and Links.- Burau Representation.- Garside Monoids and Braid Monoids.- Representations and the Iwahori-Hecke Algebras.- Orderings.- Appendix A. Free Groups and Magnus Expansion.- Appendix B. Fibrations and Homotopy Sequences.- Appendix C. The Symmetric Groups.- Appendix D. Representations of Finite Groups and Finite-dimensional Algebras.- Appendix E. Presentations of the Modular Group.- Notes.- Bibliography.- Index
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Eric Joundeau -  Ser-Huang Poon - Michael Rockinger.
Financial modeling under non-gaussian distributions .

Springer, 2007.
Part I: Financial Markets and Financial Time Series.- Introduction. Statistical Properties of Financial Market Data. Functioning of Financial Markets and Theoretical Models for Returns. Part II: Econometric Modeling of Asset Returns.- Modeling Volatility. Modeling Higher Moments. Modeling Correlation. Extreme Value Theory. Part III: Applications of Non-Gaussian Econometrics.- Risk Management and VaR. Portfolio Allocation. Part IV: Option Pricing with Non-Gaussian Returns.-Fundamentals of Option Pricing. Non-Structural Option Pricing. Structural Option Pricing. Part V: Appendices on Option Pricing Mathematics.- Brownian Motion and Stochastic Calculus. Martingale and Changing Measure. Characteristic Functions and Fourier Transforms. Jump Processes.- References.- Index.
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Norman Ehrentreicher. Agent-based modeling : the Santa Fe Institut artificial stock market model revisited .
Springer, 2008.
This book reconciles the existence of technical trading with the Efficient Market Hypothesis. By analyzing a well-known agent-based model, the Santa Fe Institute Artificial Stock Market (SFI-ASM), it finds that when selective forces are weak, financial evolution cannot guarantee that only the fittest trading rules will survive.Its main contribution lies in the application of standard results from population genetics which have widely been neglected in the agent-based community. This has led to various misinterpretations of previous simulation results. The book is able to finally establish the emergence of technical trading for faster learning speeds in the SFI-ASM beyond a doubt. In emphasizing the importance of genetic drift as an important evolutionary factor and analyzing its effects on various mutation operators, this book provides agent-based modelers with several tools to design better evolutionary algorithms.
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Dan Ariely. Prevedibilmente irrazionale : le forze nascoste che influenzano le nostre decisioni .
Rizzoli, 2008.
Perché un farmaco di marca dovrebbe essere più efficace di un generico? Perché riteniamo legittimo rubare la cancelleria in ufficio? Perché la lotteria non ci sembra antieconomica? Ce lo spiega Dan Ariely esaminando innanzitutto la sua esperienza: grande ustionato dopo un attentato terroristico in Israele, ha dovuto anche subire le conseguenze delle "decisioni irrazionali" prese dalle infermiere che gli strappavano i cerotti. Da allora ha raccolto una vera e propria collezione di quotidiane scelte sbagliate. Dalle conseguenze dell'eccitazione sessuale alle strategie di esposizione delle merci in vetrina, ha scoperto che anche i comportamenti più insensati hanno una logica, radicata nel nostro essere animali più emotivi che razionali. Per fortuna, siamo anche animali prevedibili e un po' di accortezza potrebbe trasformarci persino in creature (davvero) intelligenti.
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Associazione subalpina Mathesis.
Conferenze e seminari / dell'Associazione subalpina mathesis ; Seminario di storia delle matematiche Tullio Viola.
Kim Williams , 1994.

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NUOVI ARRIVI OTTOBRE - DICEMBRE 2008

Fried, Harold - Lovell, C. A. Knox - Schmidt, Shelton S.
The measurement of productive efficiency and productivity growth.
Oxford University press , 2008.
Index:1. Efficiency and Productivity; 2. The Econometric Approach To Efficiency Analysis; 3. DEA - The Mathematical Programming Approach to Efficiency Analysis; 4. Statistical Inference in Nonparametric Frontier Models: Recent Developments and Perspectives; 5. Efficiency and Productivity: Malmquist and More
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Gura, Ein-yaAltug - Mashler, Michael B.
Insights into game theory : an alternative mathematical experience.
Cambridge University press , 2008.
Index:Introduction; 1. Mathematical matching; 2. Social justice; 3. The Shapley value in cooperative games; 4. Analysis of a bankruptcy problem from the Talmud; Answers to the exercises; Index.
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Sumru Altug - Pamela Labadie. Asset pricing for dynamic economies.
Cambridge University press , 2008.
Index: List of figures; List of tables; Preface; Part I. Basic Concepts: 1. Complete contingent claims; 2. Arbitrage and asset valuation; 3. Expected utility; 4. CAPM and APT; 5. Consumption and saving; Part II. Recursive Models: 6. Dynamic programming; 7. Intertemporal risk sharing; 8. Consumption and asset pricing; 9. Nonseparable preferences; 10. Economies with production; 11. Investment; 12. Business cycles; Part III. Monetary and International Models: 13. Models with money; 14. International models; Part IV. Models with Market Incompleteness: 15. Asset pricing with frictions; 16. Borrowing constraints; 17. Overlapping generations models; Part V. Supplementary Material: A. Mathematical appendix; References; Index.
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Rabi Bhattacharya - Mukul Majumdar. 
Random dynamical systems : theory and applications. Cambridge University press , 2007.
Index: 1. Dynamical systems; 2. Markov processes; 3. Random dynamical systems; 4. Random dynamical systems: special structures; 5. Invariant distributions: estimations and computation; 6. Discounted dynamic programming under uncertainty; 7. Appendix.
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Patrone, Fioravanti .
Decisori (razionali) interagenti : una introduzione alla teoria dei giochi.   Plus , 2006.
A fronte di una situazione di diffuso interesse per la teoria dei giochi, questo libro vuole rispondere fornendo una introduzione che sia fruibile da chi, incuriosito dalla sua espansione, voglia comprenderne i concetti principali, senza volerne diventare un esperto. Va anche detto che questa disciplina è presente solo recentissimamente in modo sufficientemente diffuso nei curricula universitari, per cui possono essere interessati a quest'opera anche potenziali utenti "professionali" della disciplina (manager, insegnanti, ricercatori).
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Gambarelli, Gianfranco - Stefania Mercanti .  Matematica indolore. 
Giappichelli , 2005.
Perché la Matematica non piace? Qual è la genesi dei relativi incubi notturni? La risposta sta nella sua stretta consequenzialità, che rende impossibile capire la lezione di oggi se non si è capita quella di ieri, studiare senza aver capito, superare l'esame senza aver studiato. A quanto sopra si aggiunge la mancanza di un entusiasmo che porti a superare le difficoltà di apprendimento. Gianfranco Gambarelli è professore ordinario di Matematica, Teoria dei Giochi e delle Decisioni nella Facoltà di Economia dell'Università degli Studi di Bergamo e nell'Accademia della Guardia di Finanza. Stefania Mercanti è "cultore della materia" e "tutor" di Metodi matematici per l'Economia e la Finanza nell'Università degli Studi di Bergamo.
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Lucchetti, Roberto.  Passione per Trilli : alcune idee dalla matematica. 
Springer , 2007.
È convinzione generale che la matematica sia una materia difficile da capire, che usa simboli esoterici e un linguaggio poco comprensibile, che sia soprattutto calcolo. Certamente, è una materia particolare, che ha bisogno di formule e che necessita di un linguaggio formale a volte molto sofisticato. Tuttavia, è anche una scienza piena di idee, che non hanno solo la funzione di progredire in una qualche teoria o di servire altre scienze per i loro modelli quantitativi. Come la filosofia, come la letteratura, la matematica è utile all'uomo per cercare di capire un po' meglio il mondo che lo circonda, e soprattutto se stesso. Convinto profondamente di questo, l'autore propone alcuni argomenti, che sono particolarmente adatti a mettere in luce questo aspetto della matematica. L'autore utilizza, a volte, un linguaggio più matematico per completare il ragionamento, ma è del tutto convinto che il lettore interessato possa seguire tutti i suoi ragionamenti perché, parafrasando un grande matematico del secolo scorso, "chi non ha dimestichezza con le tecniche matematiche si renderà conto di potersela cavare senza problemi ignorandole del tutto" (J.F.Nash, jr).
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Gambarelli, Gianfranco.
Giochi competitivi e cooperativi : per applicazione a problemi decisionali di natura industriale, economica, commerciale, militare, politica, sportiva . 
Giappichelli , 2003.
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Fenton-O'Creevy, Mark.

Traders : risks, decisions, and management in financial markets.
 
Oxford University press  , 2007.
Index:1. Introduction; 2. The Growth of Financial Markets and the Role of Traders; 3. Economic, Psychological, and Social Explanations of Market Behaviour; 4. Traders and Their Theories; 5. A Framework for Understanding Trader Psychology; 6. Risk Takers; 7. Becoming a Trader; 8. Managing Traders; 9. Conclusions; 10. Appendix
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Raw Hamish.

Binary options : fixed odds financial bets.
 
Harriman , 2008.

Outlines regular bets and explains the rationale defining some basic winning and losing bets. This work examines how the value of a bet is dependant on the passing of time, the volatility of the underlying instrument plus the price of the underlying instrument. It also shows when and how to profitably use binaries in various market conditions.

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Claudio Citrini.

Analisi matematica 2.
  Springer , 1992.
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Claudio Citrini.

Analisi matematica 1.
  Springer , 1991.
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Grigorios A. Pavliotis, Andrew M. Stuart.
Multiscale methods : averaging and homogenization.
Bollati Boringhieri , 2008.
Index: Introduction.- Analysis.- Probability Theory and Stochastic Processes.- Ordinary Differential Equations.- Markov Chains.- Stochastic Differential Equations.- Partial Differential Equations.- Invariant Manifolds for ODEs.- Averaging for Markov Chains.- Averaging for ODEs and SDEs.- Homogenization for ODEs and SDEs.- Homogenization for Elliptic PDEs.- Homogenization for Parabolic PDEs.- Averaging for Linear Transport and Parabolic PDEs.- Invariant Manifolds for ODEs: The Convergence Theorem.- Averaging for Markov Chains: The Convergence Theorem.- Averaging for SDEs: The Convergence Theorem.- Homogenization for SDEs: The Convergence Theorem.- Homogenization for Elliptic PDEs: The Convergence Theorem.- Homogenization for Parabolic PDEs: The Convergence Theorem.- Averaging for Linear Transport and Parabolic PDEs: The Convergence Theorem.

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Huiye Ma, Ho-fung Leung. Bidding strategies in agent-based continuous double auctions.
Birkhauser, 2008.
Online auctions are a platform to trade goods on the Internet. In this context, negotiation capabilities for software agents in continuous double auctions (CDAs) are a central concern. Agents need to be able to prepare bids for and evaluate offers on behalf of the users they represent with the aim of obtaining the maximum benefit for their users. For the agents, their bids are decided according to some bidding strategy. However, in CDAs, it is a complex decision problem because of the inherent uncertainty and dynamics of the auction market. In this book, we present a new bidding strategy for agents to adopt in CDAs and propose tools to enhance the performance of existing bidding strategies in CDAs. The superior performance of the new bidding strategy as well as the tools presented in this book are illustrated through extensive experiments.
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NUOVI ARRIVI AGOSTO - SETTEMBRE 2008
Christiane Rousseau, Yvan Saint-Aubin. Mathematics and technology.
Springer , 2008.
Index:Preface.Flash sciences: A collection of small subjects to be taught in one or two hours.
Savings and loans. Google and the PageRank algorithm. Image compression with fractals.Error correcting codes. Public key cryptography. Turing machines. DNA computer. GPS and positioning in space. Friezes and tilings. The movements of a robot. Calculus of variations.
Why 44100 numbers per second (the standard to record musical CDs).
The JPEG format. The skeleton and gamma knife radiosurgery.
Bibliography.
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Schredelseker Klaus, Hauser Florian. Complexity and artificial markets .
Springer , 2008.
Index:Part I Market Mechanisms: Zero
Intelligence Trading Without Resampling by Marco LiCalzi and Paolo Pellizzari.
Understanding the Price Dynamics of a Real Market Using Simulations: the Dutch Auction of the Pescara Wholesale Fish Market by Gianfranco Giulioni and Edgardo Bucciarelli.
Market Behavior under Zero
Intelligence Trading and Price Awareness by Lucia Milone.
Part II Evolution and Decision Making: Evolutionary Switching between Forecasting Heuristics: an Explanation of an Asset
Pricing Experiment by Mikhail Anufriev and Cars Hommes.
Prospect Theory Behavioral Assumptions in an Artificial Financial Economy by Marco Raberto, Andrea Teglio, and Silvano Cincotti.
Computing the Evolution of Walrasian Behaviour by Gonzalo Fernandez
de Cordoba and lvaro P. Navas.
Multidimensional evolving opinion for sustainable consumption decision by Sabine Garabedian.
Part III Information Economics: Local Interaction, Incomplete Information and Properties of Asset Prices by Richard Hule and Jochen Lawrenz.
Longterm Orientation in Trade by Gert Jan Hofstede, Catholijn M. Jonker, and Tim Verwaart.
Agent based experimental economics in signaling games by Adolfo Lopez
Paredes, Marta Posada, Cesareo Hernandez, and Javier Pajares.
Part IV Methodological Issues: Why do we need Ontology for Agent
Based Models by Pierre Livet, Denis Phan, and Lena Sanders.
Production and Finance in EURACE by Sander van der Hoog, Christophe Deissenberg, and Herbert Dawid. Serious Games for Economists by Wilbert Grevers and Anne van der Veen.
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William Goldbloom Bloch. The unimaginable mathematics of Borges' library of Babel . Oxford University press , 2008.
Index:PREFACE INTRODUCTION COMBINATORICS: CONTEMPLATING VARIATIONS OF THE 23 LETTER TOPOLOGY AND COSMOLOGY: THE UNIVERSE (WHICH OTHERS CALL THE LIBRARY) INFORMATION THEORY: CATALOGING THE COLLECTION GEOMETRY AND GRAPH THEORY: AMBIGUITY AND ACCESS REAL ANALYSIS: THE BOOK OF SAND MORE COMBINATORICS: DISORDERINGS INTO ORDER A HOMOMORPHISM: STRUCTURE INTO MEANING CRITICAL POINTS OPENINGS ACKNOWLEDGEMENTS APPENDIX ITHE LOGOS OF LOGARITHMS APPENDIX IIFLAT-OUT DISORIENTED APPENDIX IIIPEELING THE 3-SPHERE APPENDIX IVA LABYRINTH, NOT A MAZE APPENDIX VAN EXAMPLE OF THE ARS COMBINATORIA
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Universita degli studi, Padova, Dipartimento di matematica pura e applicata
 
I matematici nell'universita di Padova dal suo nascere al xx secolo.
Esedra , 2008.
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U. Narayan Bat. An introduction to queueing theory : modelling and analysis in applications. Birkhauser, 2008.
This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students in mathematics, statistics, and applied disciplines such as computer science, operations research, and engineering. Key features: * An introductory chapter including a historical account of the growth of queueing theory in the last 100 years. * A modeling-based approach with emphasis on identification of models using topics such as collection of data and tests for stationarity and independence of observations. * Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics. * A chapter on modeling and analysis using computational tools. * A comprehensive treatment of statistical inference for queueing systems. * A discussion of operational and decision problems. * Modeling exercises as a motivational tool, and review exercises covering background material on statistical distributions. An Introduction to Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an elective introductory course on queueingtheory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research.
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Ehrhard Behrends.
Five-minute mathematics. AMS, 2008.
How much math can you cover in five minutes? Quite a bit, if you have a good guide. In this collection of one hundred short essays, Ehrhard Behrends offers a tour through contemporary and everyday mathematics. The topics range from pure mathematics to applications of mathematics to observations about the mathematics that surrounds us in daily life. Here, we read about the parable of grains of rice on a chessboard, the mathematics of the lottery, music and mathematics, intriguing paradoxes, the concept of infinity, the Poincare conjecture, quantum computers, and plenty more.
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Roberto Moscati, Massimiliano Vaira (a cura).

L'universita di fronte al cambiamento : realizzazioni, problemi e prospettive.

 il Mulino , 2008.
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Adams, Colin - Thomas Garrity.
The great pi/e debate [videoregistrazione].
The mathematical association of America , 2006. - 1 dvd
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NUOVI ARRIVI GIUGNO - LUGLIO 2008



Douglas Hofstadter.
I am a strange loop.  Paperback ed , 2008.
Hofstadter--who won a Pulitzer for his 1979 book, "Gdel, Escher, Bach"--blends a surprising array of disciplines and styles in his continuing rumination on the nature of consciousness.
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Antonio Borghesi. Marketing-logistica.  Giuffre , 2006.
Abstract:Tradizionalmente le attività di marketing e logistica sono state gestite separatamente nella maggior parte delle imprese. Oggi tuttavia il servizio al cliente appare essere un comune denominatore delle due funzioni, ciò che risulta ben più evidente quando esse vengono integrate nel processo di gestione della catena di fornitura (Supply Chain Management). In tal caso, infatti, al processo viene assegnato l'obiettivo di "creazione di valore per il cliente" che si sostanzia in due elementi del servizio di consegna che svolgono azioni complementari nella soddisfazione del cliente: il servizio di marketing al cliente (MCS) e il servizio di distribuzione fisica (PDS). Tale punto di vista è largamente condiviso e può essere considerato la base intellettuale per l'integrazione delle attività di marketing e logistica. È stato anche evidenziato come in tutti i casi di successo è stata sempre osservata una stretta coordinazione e collaborazione tra marketing e logistica. Molti piani basati sulla leva logistica sono stati guidati da ricerche di mercato, mentre una prestazione logistica superiore non avrebbe avuto un impatto sui clienti senza un'efficace comunicazione di marketing. I manager che cercano di raggiungere posizioni di vantaggio competitivo attraverso la leva logistica devono riconoscere il ruolo che la logistica può giocare nella strategia di marketing ed il fatto che questo ruolo coinvolge in modo inestricabile le due funzioni.
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Steven J. Brams.
Mathematics and democracy. Princeton university press, 2008.
Voters often desert a preferred candidate for a more viable second choice to avoid wasting their vote. Likewise, parties to a dispute often find themselves unable to agree on a fair division of contested goods. This book shows how social-choice and game theory could make political and social institutions more democratic.
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David D. Luenberger.
Information science. Princeton university press, 2006.
From cell phones to Web portals, advances in information and communications technology have thrust society into an information age that is far-reaching, fast-moving, increasingly complex, and yet essential to modern life. This book distills and explains the most important concepts and insights at the core of this revolution.
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Julian Havil.
Nonplussed!. Princeton university press, 2008.
Index:Preface xi Acknowledgements xiii Introduction 1 Chapter 1: Three Tennis Paradoxes 4 Chapter 2: The Uphill Roller 16 Chapter 3: The Birthday Paradox 25 Chapter 4: The Spin of a Table 37 Chapter 5: Derangements 46 Chapter 6: Conway&aposs Chequerboard Army 62 Chapter 7: The Toss of a Needle 68 Chapter 8: Torricelli&aposs Trumpet 82 Chapter 9: Nontransitive Effects 92 Chapter 10: A Pursuit Problem 105 Chapter 11: Parrondo&apos.
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Stephen Fletcher Hewson.
A Mathematical Bridge.
River Edge (N.J.) : World scientific , 2003.
Index:Numbers Analysis Algebra Calculus and Differential Equations Probability Theoretical Physics Appendices: Exercises for the Reader Further Reading Basic Mathematical Background.
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Simon R  Blackburn -  Peter M. Neumann - Geetha Venkataraman.
Enumeration of finite groups. Cambridge university press , 2007.
Index:1. Introduction Part I. Elementary Results: 2. Some basic observations Part II. Groups of Prime Power Order: 3. Preliminaries 4. Enumerating p-groups: a lower bound 5. Enumerating p-groups: upper bounds Part III. Pyber&aposs Theorem: 6. Some more preliminaries 7. Group extensions and cohomology 8. Some representation theory 9. Primitive soluble linear groups 10. The orders of groups 11. Conjugacy classes of maximal soluble subgroups of symmetric groups 12. Enumeration of finite groups with abelian Sylow subgroups 13. Maximal soluble linear groups 14. Conjugacy classes of maximal soluble subgroups of the general linear group 15. Pyber&aposs theorem: the soluble case 16. Pyber&aposs theorem: the general case Part IV. Other Topics: 17. Enumeration within varieties of abelian groups 18. Enumeration within small varieties of A-groups 19. Enumeration within small varieties of p-groups 20. Miscellanea 21. Survey of other results 22. Some open problems.
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Andrei N. Borodin - Paavo Salminen.
Handbook of Brownian motion.
Birkhauser , 2002.
This text aims to give an easy reference to a large number of facts and formulae associated with Brownian motion. The first part is devoted to properties of linear diffusions, while the second part is a table of distributions of functionals of Brownian motion and related processes.
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Anita Schobel.
Optimization in public transportation. Springer , 2006.
Index:Preface.1. Customeroriented traffic planning.
PART I. STOP LOCATION. 2. Introduction. 3. Covering all demand points. 4. Bicriterial stop location. 5. Extensions. PART II. DELAY MANAGEMENT. 6. Introduction. 7. Delay management with fixed connections. 8. Minimizing the sum of all delays. 9. The bicriterial delay management problem.
10. Extensions. PART III. TARIFF PLANNING. 11. Introduction. 12. Finding zones and zone prices.
Appendix A. Frequently used notation. Appendix B. List of the main problems. Appendix C. Integer programming. Appendix D. Bicriterial optimization. Appendix E. Gauges as distance measures.
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Paul Doukhan - George Oppenheim - Murad S. Taqqu
.
Theory and applications of long-range dependence.
Birkhauser , 2003.
This work focuses on the topic of long-range dependence in data. The topics selected should give an overview from the probabilistic and statistical perspective. Articles cover topics such as fractional Brownian motion; models; inequalities and limit theorems; and robust estimation.
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Brunello Tirozzi
(et al). Neural networks and sea time series. Birkhauser , 2006.
Index:Preface. Introduction. Basic Notions on Waves and Tides. The Wave Amplitude Model. Artificial Neural Networks. Approximation Theory. Extreme Value Theory. Application of ANN to Sea Time Series.
Application of Approximation Theory and ARIMA Models. Extreme Event Analysis. Generalization to Other Phenomena. Conclusions. References.
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Nicola Bellomo
. Modeling complex living systems. Birkhauser , 2008.
Index:Introduction. Evolution Equations for OneParticle Distribution Function. System Modeling. Modeling of Social Competition. Modeling of Immune Competition. Vehicular Traffic Flow Modeling. Modeling of Swarms. Overview of Different Types of Models. Multiscale and Multistructure Modeling. Conclusion and Future Research Perspectives. Bibliography.
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Samuel Kotz - Tomasz J. Kozubowski -
Krzysztof Podgorski . The Laplace distribution and generalizations.
Birkhauser , 2001.
This work focuses on the importance of reviving the Laplace distribution and describes the inferential and modelling advantages which this distribution offers.
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Steven G. Krantz - Harold R. Parks
. The implicit function theorem.
Birkhauser , 2002.
The implicit function theorem is part of the bedrock of mathematical analysis and geometry. This book covers implicit and inverse function theorems and their applications. It is of interest to mathematicians, graduate/advanced undergraduate students, and to those who apply mathematics.
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Gianni Ricci
. Matematica generale. McGraw Hill , 2008.

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Hal Hellman
. Great feuds in mathematics. J. Wiley , 2006.
Presents various debates and the history of ten mathematical disputes.

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Frank E. Burk
. A garden of integrals.  MAA , 2007.
Index:Foreword 1. An historical overview 2. The Cauchy integral 3. The Riemann integral 4. The Riemann-Stieltjes integral 5. Lebesgue measure 6. The Lebesgue integral 7. The Lebesgue-Stieltjes integral 8. The Henstock-Kurzweil integral 9. The Wiener integral 10. The Feynman integral Index
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Leonid Hurwicz - Stanley Reiter. Designing economic mechanisms. Cambridge University press, 2006.
Index: 1. Mechanisms and mechanism design 1.1. Introduction to mechanisms and mechanism design 1.2. Environments and goal functions 1.3. Mechanisms: message exchange processes and game forms 1.4. Initial dispersion of information and privacy preservation 1.5. Mechanism design 1.6. Mechanism design Illustrated in a Walrasian example 1.7. The rectangles method applied to the Walrasian goal function-informal 1.8. Introductory discussion of informational efficiency concepts 1.9. Regulation of logging in a national forest - an example of mechanism design 2. From goals to means: constructing mechanisms 2.1. Mechanism construction: phase one 2.2. Phase two: constructing decentralized 2.3.1. Flagpoles-principles 2.4.1. Phase two: via condensation: principles 2.5. Overlaps 2.6.1 Main results 3. Designing informationally efficient mechanisms using the language of aets 3.1. Introduction 3.2. Mechanism design 3.3. Mechanisms and coverings 3.4. A systematic process (an algorithm) for constructing and rRM covering 3.5 Transversals 3.6. Coverings and partitions 3.7. Informational efficiency 3.8. Example 1.9 revisited - a graphical presentation 3.9. Informationally efficient mechanisms with strategic behavior 4. Revelation mechanisms (co-authored with Kenneth R. Mount) 4.1. Introduction 4.2. Initial set theoretic constructions 4.3. The topological case.
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Knut Sydsaeter - Peter Hammond. Manuale di matematica per l'analisi ecomomica.  Vita e pensiero , 2004.
Questo manuale costituisce una valida e completa introduzione all'analisi matematica per gli studenti di economia o di altri corsi di laurea che prevedano un esame di matematica generale. Dall'algebra elementare ai concetti più avanzati, i diversi temi vengono affrontati in maniera chiara e rigorosa, con un approccio che privilegia il ragionamento, frutto di una lunga esperienza di insegnamento. Ogni capitolo comprende un'ampia selezione di esempi svolti, attraverso i quali ciascun argomento viene trattato anzitutto da un punto di vista squisitamente matematico, per poi trovare applicazione in ambito più prettamente economico.
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Sean Dineen
. Probability theory in finance : a mathematical guide to the Black-Scholes formula.  AMS , 2005.
Index: Money and markets Fair games Set theory Measurable functions Probability spaces Expected values Continuity and integrability Conditional expectation Martingales The Black-Scholes formula Stochastic integration Solutions Bibliography Index Money and markets Fair games Set theory Measurable functions Probability spaces Expected values Continuity and integrability Conditional expectation Martingales The Black-Scholes formula Stochastic integration Solutions Bibliography.
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Henry P
. McKean . Stochastic Integrals.  AMS , 2005.
Index: Brownian motion Stochastic integrals and differentials Stochastic integral equations $(d=1)$ Stochastic integral equations $(dgeq2)$ References Subject index.
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Antony C.C. Coolen. The mathematical theory of minority games : statistical mechanics of interacting agents. University press , 2005.
Index: 1. Introduction 2. Preparing the stage for statistical mechanics 3. Pseudo-equilibrium replica analysis 4. Dynamics of the batch MG with fake memory 5. Dynamics of the on-line MG with fake memory 6. The overall bid distribution 7. MG versions with new types of phase transitions 8. Dynamics of MGs with true market history 9. Variations and generalizations 10. Notes APPENDICES Simple mathematical conventions and tools Integrals Moments of random matrices Expansion of bid sign recurrence probabilities Combinatorics in history frequency moments Details of numerical simulation experiments References
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NUOVI ARRIVI GENNAIO-MAGGIO 2008
Svetlana Boyarchenko - Sergei Levendorskii. Irreversible decisions under uncertainty.  Springer, 2007.
In real life, as well as in economic models, individuals often make decisions in an uncertain environment. In many cases, a problem which an optimizing agent faces can be formulated or reformulated as a problem of optimal timing of a certain irreversible or partially reversible action or optimal stopping problem. In this book, the authors present an alternative approach to optimal stopping problems. The basic ideas and techniques of the approach can be explained much simpler than the standard methods in the literature on optimal stopping problems. The monograph will teach the reader to apply the technique to many problems in economics and finance, including new ones. From the technical point of view, the method can be characterized as option pricing via the Wiener-Hopf factorization.
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Hans Otto Georgii
. Stochastics : introduction to probability and statiscs.
de Gruyter, 2008.
This book is a translation of the third edition of the well accepted German textbook "Stochastik", which presents the fundamental ideas and results of both probability theory and statistics, and comprises the material of a one-year course. The stochastic concepts, models and methods are motivated by examples and problems and then developed and analysed systematically.
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Noam Nisan (curatore) (et al). Algorithmic game theory.
Cambridge University press , 2007.
Index: Introduction Noam Nisan, Tim Roughgarden, Eva Tardos and Vijay V. Vazirani Part I. Computing in Games: 1. Basic solution concepts and computational issues Eva Tardos and Vijay V. Vazirani 2. Algorithms for equilibria Christos Papadimitriou 3. Equilibrium computation for games in strategic and extensive form Bernhard von Stengel 4. Learning, regret minimization and correlated equilibria Avrim Blum and Yishay Mansour 5. Graphical games Michael J. Kearns 6. Cryptography and game theory Yevgeniy Dodis and Tal Rabin 7. Combinatorial algorithms for market equilibria Vijay V. Vazirani 8. Computation of market equilibria by convex programming Bruno Codenotti and Kasturi Varadarajan Part II. Algorithmic Mechanism Design: 9. Introduction to mechanism design (for computer scientists) Noam Nisan 10. Mechanism design without money James Schummer and Rakesh V. Vohra 11. Combinatorial auctions Noam Nisan and Liad Blumrosen 12. Computationally efficient approximation mechanisms Ron Lavi 13. Profit maximization in mechanism design Jason Hartline and Anna Karlin 14. Distributed algorithmic mechanism design Joan Feigenbaum, Michael Schapira and Scott Shenker 15. Cost sharing Kamal Jain and Mohammad Mahdian 16. On-line mechanisms David C. Parkes Part III. Quantifying the Inefficiency of Equilibria: 17. Introduction to the inefficiency of equilibria Tim Roughgarden and Eva Tardos 18. Routing games Tim Roughgarden 19. Inefficiency of equilibria in network formation games Eva Tardos and Tom Wexler 20. Selfish load-balancing Berthold Vocking 21. Efficiency loss and the design of scalable resource allocation mechanisms Ramesh Johari Part IV. Additional Topics: 22. Incentives and pricing in communication networks Asuman Ozdaglar and R. Srikant 23. Incentives in peer-to-peer systems John Chuang, Michal Feldman and Moshe Babaioff 24. Cascading behavior in networks: algorithmic and economic issues Jon Kleinberg 25. Incentives and information security Ross Anderson, Tyler Moore, Shishir Nagaraja and Andy Ozment 26. Computational aspects of information markets David M. Pennock and Rahul Sami 27. Manipulation-resistant reputation systems Eric Friedman, Paul Resnick and Rahul Sami 28. Sponsored search auctions Sebastien Lahaie, David M. Pennock, Amin Saberi and Rakesh V. Vohra
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Peter Whittle. Networks : optimisation and evolution. Cambridge University press , 2007.
Index: 1. Tour d&aposhorizon Part I. Distribution Networks: 2. Simple flows 3. Continuum formulations 4. Multi-class and destination-specific flows 5. Design optimality under variable loading 6. Concave costs and hierarchical structure 7. Road networks 8. Structural optimisation Michell structures 9. Structures: computational experience of evolutionary algorithms 10. Structure design for variable loading Part II. Artificial Neural Networks: 11. Models and learning 12. Some particular nets 13. Oscillatory operation Part III. Processing Networks: 14. Queuing networks 15. Time-sharing networks Part IV. Communication Networks: 16. Loss networks: optimality and robustness 17. Loss networks: stochastics and self-regulation 18. Operation of the Internet 19. Evolving networks and the World-wide Web Appendix 1. Spatial integrals for the telephone problem Appendix 2. Bandit and tax processes Appendix 3. Random graphs and polymer models References
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Svetlozar T. Rachev (et al.). Bayesian methods in finance.
Wiley, 2008.
Index: Preface.About the Authors.Chapter 1. Introduction.Chapter 2. The Bayesian Paradigm.Chapter 3. Prior and Posterior Information, Predicative Inference.Chapter 4. Bayesian Linear Regression Model.Chapter 5. Bayesian Numerical Computation.Chapter 6. Bayesian Framework for Portfolio Allocation.Chapter 7. Prior Beliefs and Asset Pricing Models.Chapter 8. The Black
Litterman Portfolio Selection Framework.Chapter 9. Market Efficiency and return Predictability.Chapter 10. Volatility Models.Chapter 11. Bayesian Estimation of ARCH
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Francesca Biagini (et al.). Stochastic calculus for fractional brownian motion and applications. Springer , 2008.
Fractional Brownian motion (fBm) has been widely used to model a number of phenomena in diverse fields from biology to finance. This huge range of potential applications makes fBm an interesting object of study. fBm represents a natural one-parameter extension of classical Brownian motion therefore it is natural to ask if a stochastic calculus for fBm can be developed. This is not obvious, since fBm is neither a semimartingale (except when H = 1/2), nor a Markov process so the classical mathematical machineries for stochastic calculus are not available in the fBm case. Several approaches have been used to develop the concept of stochastic calculus for fBm. The purpose of this book is to present a comprehensive account of the different definitions of stochastic integration for fBm, and to give applications of the resulting theory. Particular emphasis is placed on studying the relations between the different approaches. Readers are assumed to be familiar with probability theory and stochastic analysis, although the mathematical techniques used in the book are thoroughly exposed and some of the necessary prerequisites, such as classical white noise theory and fractional calculus, are recalled in the appendices. This book will be a valuable reference for graduate students and researchers in mathematics, biology, meteorology, physics, engineering and finance. Aspects of the book will also be useful in other fields where fBm can be used as a model for applications.
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Jeff Augen. The volatility edge in options trading. Prentice Hall , 2008.
Index: Acknowledgments ... xi About the Author ... xii Preface ... xiii A Guide for Readers ... xv 1. Introduction ... 1 Price Discovery and Market Stability ... 6 Practical Limitations of Technical Charting ... 9 Background and Terms ... 12 Securing a Technical Edge ... 16 Endnote ... 21 2. Fundamentals of Option Pricing ... 23 Random Walks and Brownian Motion ... 25 The Black
Scholes Pricing Model ... 29 The Greeks: Delta, Gamma, Vega, Theta, and Rho ... 32 Binomial Trees: An Alternative Pricing Model ... 42 Summary ... 45 Further Reading ... 45 Endnotes ... 46 3. Volatility ... 47 Volatility and Standard Deviation ... 48 Calculating Historical Volatility ... 50 Profiling Price Change Behavior ... 61 Summary ... 75 Further Reading ... 76 4. General Considerations ... 77 Bid
Ask Spreads ... 79 Volatility Swings ... 82 Put
Call Parity Violations ... 89 Liquidity ... 91 Summary ... 95 Further Reading ... 97 Endnotes ... 97 5. Managing Basic Option Positions ... 99 Single
Sided Put and Call Positions ... 100 Straddles and Strangles ... 118 Covered Calls and Puts ... 137 Synthetic Stock ... 143 Summary ... 146 Further Reading ... 148 Endnotes ... 149 6. Managing Complex Positions ... 151 Calendar and Diagonal Spreads ... 152 Ratios ... 162 Ratios That Span Multiple Expiration Dates ... 175 Complex Multipart Trades ... 182 Hedging with the VIX ... 195 Summary ... 202 Further Reading ... 203 Endnotes ... 204 7. Trading the Earnings Cycle ... 205 Exploiting Earnings
Associated Rising Volatility ... 207 Exploiting Post
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David L. Applegate...(et al). The traveling salesman problem. Princeton University press , 2006.
Index: Preface xi Chapter 1: The Problem 1 1.1 Traveling Salesman 1 1.2 Other Travelers 5 1.3 Geometry 15 1.4 Human Solution of the TSP 31 1.5 Engine of Discovery 40 1.6 Is the TSP Hard? 44 1.7 Milestones in TSP Computation 50 1.8 Outline of the Book 56 Chapter 2: Applications 59 2.1 Logistics 59 2.2 Genome Sequencing 63 2.3 Scan Chains 67 2.4 Drilling Problems 69 2.5 Aiming Telescopes and X-Rays 75 2.6 Data Clustering 77 2.7 Various Applications 78 Chapter 3: Dantzig, Fulkerson, and Johnson 81 3.1 The 49-City Problem 81 3.2 The Cutting-Plane Method 89 3.3 Primal Approach 91 Chapter 4: History of TSP Computation 93 4.1 Branch-and-Bound Method 94 4.2 Dynamic Programming 101 4.3 Gomory Cuts 102 4.4 The Lin-Kernighan Heuristic 103 4.5 TSP Cuts 106 4.6 Branch-and-Cut Method 117 4.7 Notes 125 Chapter 5: LP Bounds and Cutting Planes 129 5.1 Graphs and Vectors 129 5.2 Linear Programming 131 5.3 Outline of the Cutting-Plane Method 137 5.4 Valid LP Bounds 139 5.5 Facet-Inducing Inequalities 142 5.6 The Template Paradigm for Finding Cuts 145 5.7 Branch-and-Cut Method 148 5.8 Hypergraph Inequalities 151 5.9 Safe Shrinking 153 5.10 Alternative Calls to Separation Routines 156 Chapter 6: Subtour Cuts and PQ-Trees 159 6.1 Parametric Connectivity 159 6.2 Shrinking Heuristic 164 6.3 Subtour Cuts from Tour Intervals 164 6.4 Padberg-Rinaldi Exact Separation Procedure 170 6.5 Storing Tight Sets in PQ-trees 173 Chapter 7: Cuts from Blossoms and Blocks 185 7.1 Fast Blossoms 185 7.2 Blocks of G&ltsub&gt 1/2 187 7.3 Exact Separation of Blossoms 191 7.4 Shrinking 194 Chapter 8: Combs from Consecutive Ones 199 8.1 Implementation of Phase 2 202 8.2 Proof of the Consecutive Ones Theorem 210 Chapter 9: Combs from Dominoes 221 9.1 Pulling Teeth from PQ-trees 223 9.2 Nonrepresentable Solutions also Yield Cuts 229 9.3 Domino-Parity Inequalities 231 Chapter 10: Cut Metamorphoses 241 10.1 Tighten 243 10.2 Teething 248 10.3 Naddef-Thienel Separation Algorithms 256 10.4 Gluing 261 Chapter 11: Local Cuts 271 11.1 An Overview 271 11.2 Making Choices of V and sigma 272 11.3 Revisionist Policies 274 11.4 Does phi(chi*) Lie Outside the Convex Hull of T ? 275 11.5 Separating phi(chi*) from T : The Three Phases 289 11.6 PHASE 1: From T* to T&quot 291 11.7 PHASE 2: From T&quot to T&apos 315 11.8 Implementing ORACLE 326 11.9 PHASE 3: From T&apos to T 329 11.10 Generalizations 339 Chapter 12: Managing the Linear Programming Problems 345 12.1 The Core LP 345 12.2 Cut Storage 354 12.3 Edge Pricing 362 12.4 The Mechanics 367 Chapter 13: The Linear Programming Solver 373 13.1 History 373 13.2 The Primal Simplex Algorithm 378 13.3 The Dual Simplex Algorithm 384 13.4 Computational Results: The LP Test Sets 390 13.5 Pricing 404 Chapter 14: Branching 411 14.1 Previous Work 411 14.2 Implementing Branch and Cut 413 14.3 Strong Branching 415 14.4 Tentative Branching 417 Chapter 15: Tour Finding 425 15.1 Lin-Kernighan 425 15.2 Flipper Routines 436 15.3 Engineering Lin-Kernighan 449 15.4 Chained Lin-Kernighan on TSPLIB Instances 458 15.5 Helsgaun&apos
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Simon Benninga. Financial modeling.
The MIT Press, 2008.
Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. This work bridges this gap between theory and practice by providing a guide to solving common financial models with spreadsheets. It takes you through each model, showing how it can be solved using Microsoft Excel.
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Ross Geoghegan. Topological methods in group theory. Springer , 2008.
Topological Methods in Group Theory is about the interplay between algebraic topology and the theory of infinite discrete groups. The author has kept three kinds of readers in mind: graduate students who have had an introductory course in algebraic topology and who need a bridge from common knowledge to the current research literature in geometric, combinatorial and homological group theory; group theorists who would like to know more about the topological side of their subject but who have been too long away from topology; and manifold topologists, both high- and low-dimensional, since the book contains much basic material on proper homotopy and locally finite homology not easily found elsewhere. The book focuses on two main themes: 1. Topological Finiteness Properties of groups (generalizing the classical notions of "finitely generated" and "finitely presented"); 2. Asymptotic Aspects of Infinite Groups (generalizing the classical notion of "the number of ends of a group"). Illustrative examples treated in some detail include: Bass-Serre theory, Coxeter groups, Thompson groups, Whitehead's contractible 3-manifold, Davis's exotic contractible manifolds in dimensions greater than three, the Bestvina-Brady Theorem, and the Bieri-Neumann-Strebel invariant. The book also includes a highly geometrical treatment of PoincarA(c) duality (via cells and dual cells) to bring out the topological meaning of PoincarA(c) duality groups. To keep the length reasonable and the focus clear, it is assumed that the reader knows or can easily learn the necessary algebra (which is clearly summarized) but wants to see the topology done in detail. Apart from the introductory material, most ofthe mathematics presented here has not appeared in book form before.
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Giovanni Fiorito. Analisi matematica.
Catania : Spazio libri , 2007.- 2 vol.
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Giovanni Fiorito. Analisi matematica.
Catania : Spazio libri , 2007.- 2 vol.
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Guido Antonio Rossi (editor). Changing models.
Levrotto&Bella, 2005.
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Stavros A. Zenios. Practical financial optimization : decision making for financial engineers.
Blackwell, 2007.
Index: Foreword: Harry M. Markowitz.Preface.Acknowledgments.Notation.List of Models.I. Introduction.1. An Optimization View of Financial Engineering.2. Basics of Risk Management.II. Portfolio Optimization Models.3. Mean
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Gianluca Fusai - Andrea Roncoroni. Implementing models in quantitative finance : methods and cases. Springer, 2008.
Index: Part I: Methods. Finite Difference Methods Numerical Solution of Linear Systems Basic Monte Carlo Advanced Monte Carlo Quadrature Methods Laplace Transforms Structuring Dependence using Copula Functions Dynamic Programming - Part II: Cases. Portfolio Selection: &quotOptimizing an Error&quot Alpha, Beta, and Beyond Automatic Trading: Winning or Losing in a kBit Estimating the Risk Neutral Density An &quotAmerican&quot Monte Carlo Fixing Volatile Volatility An Average Problem Quasi Monte Carlo Lookback Options: A Discrete Problem Electrifying the Price of Power A Sparkling Option Swinging on a Tree Floating-Rate Mortgages Basket Default Swaps Scenario Simulation using Principal Components Parametric estimation of Jump-Diffusions Nonparametric Estimation of Jump-Diffusions
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Wenchang Chu. Teoria dei gruppi finiti ed applicazioni combinatorie.
Universita del Salento, 2007.
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Andrea Pascucci. Calcolo stocastico per la finanza. Springer Italia , 2007.
Questo testo offre un'introduzione ai metodi matematici, probabilistici e numerici utilizzati nel settore della finanza che si occupa della valutazione degli strumenti derivati. Il libro fornisce un'esposizione accessibile ad un lettore che abbia una formazione matematica di base. Con lo scopo di ridurre il formalismo, il testo introduce rapidamente i concetti fondamentali senza rinunciare al rigore matematico. La prima parte del volume contiene un'introduzione agli elementi di probabilità e una presentazione della teoria della valutazione nell'ambito dei mercati discreti. Vengono in particolare illustrati con dimostrazione i teoremi fondamentali della valutazione, i modelli binomiale e trinomiale e vengono accennati alcuni approcci al problema della valutazione in mercati incompleti. Nella seconda parte viene sviluppata la teoria dell'integrazione e del calcolo stocastico. Il classico modello di Black&Scholes è presentato inizialmente in ambito Markoviano con un approccio basato sulle equazioni alle derivate parziali. Successivamente, dopo aver trattato il teorema di Girsanov, la valutazione d'arbitraggio viene rivisitata nell'ottica della teoria delle martingale. Di seguito viene approfondita la teoria delle equazioni differenziali stocastiche mettendo particolare enfasi sui legami con le equazioni alle derivate parziali paraboliche, eventualmente degeneri. L'ultima parte del testo è dedicata alla descrizione dei classici metodi numerici utilizzati nella valutazione dei derivati.
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NUOVI ARRIVI MAGGIO-DICEMBRE 2007



Kenneth R. Mount -  Stanley Reiter. Computation and complexity in economic behavior and organization.
Cambridge University, 2007.
Index:Acknowledgements 1. Introduction 2. F networks 3. Networks of real-valued functions 4. Applications to economics 5. Applications to games 6. Lower bounds and approximations 7. Organizations Appendices Bibliography.
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Dmitry Fuchs -  Serge Tabachnikov. Mathematical omnibus.
AMS, 2007.
Index: Arithmetical properties of binomial coefficients On collecting like terms, on Euler, Gauss, and MacDonald, and on missed opportunities Equations of degree five How many roots does a polynomial have? Chebyshev polynomials Geometry of equations Around four vertices Segments of equal areas On plane curves Paper Mobius band More on paper folding Twenty-seven lines Web geometry The Crofton formula Non-inscribable polyhedra Can one make a tetrahedron out of a cube? Impossible tilings Rigidity of polyhedra Flexible polyhedra Cone eversion The Poncelet porism and other closure theorems Gravitational attraction of ellipsoids Solutions to selected exercises Bibliography
Coll. 3 Xa 21
.


Peter Borwein...(et al).The Riemann hypothesis.
Springer , 2008.
This book presents the Riemann Hypothesis, connected problems, and a taste of the body of theory developed towards its solution. It is targeted at the educated non-expert. Almost all the material is accessible to any senior mathematics student, and much is accessible to anyone with some university mathematics. The appendices include a selection of original papers. This collection is not very large and encompasses only the most important milestones in the evolution of theory connected to the Riemann Hypothesis. The appendices also include some authoritative expository papers. These are the "expert witnessesa whose insight into this field is both invaluable and irreplaceable.
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Gaurav Suri - Hartosh Singh Bal. A certain ambiguity.
Princeton university press, 2007.
While taking a class on infinity at Stanford in the 1980s, Ravi Kapoor discovers that he is confronting the same mathematical and philosophical dilemmas that his mathematician grandfather had faced many decades earlier - and that had landed him in jail. This book tells the story about what it means to face the extent of human knowledge.
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Stephen Wolfram. A new kind of science.
Wolfram Media , 2002.
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(A cura di )L. Giacardi - M. Mosca - O. Robutti. Conferenze e seminari 2006-2007 dell'Associazione subalpina MATHESI.
Kim Williams Books, 2007.
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Arthur Knoebel...(et al.). Mathematical masterpieces.
Springer, 2007.
Index:Preface. The Bridge Between the Continuous and the Discrete. Solving Equations Numerically: Finding our Roots. Curvature and the Notion of Space. Patterns in Prime Numbers: The Quadratic Reciprocity Law. References.
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Philip Barke. Java methods for financial engineering.
Springer, 2007.
Describes the principles of model building in financial engineering and explains those models as designs and working implementations for Java-based applications. This book presents a series of packaged classes to address a range of financial applications.
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Winfried Schirotzek. Nonsmooth analysis.
Springer, 2007.
Index:The book treats various concepts of generalized derivatives and subdifferentials in normed spaces, their geometric counterparts (tangent and normal cones) and their application to optimization problems. It starts with the subdifferential of convex analysis, passes to corresponding concepts for locally Lipschitz continuous functions and finally presents subdifferentials for general lower semicontinuous functions. All basic tools are presented where they are needed; this concerns separation theorems, variational and extremal principles as well as relevant parts of multifunction theory. The presentation is rigorous, with detailed proofs. Each chapter ends with bibliographic notes and exercises.
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Patrick Dehornoy. Braids and self-distributivity.
Basel : Birkhauser , 2000.


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Wolfgang Hardle -  Zdenek Hlavka. Multivariate statistics : exercise and solutions.
Springer, 2007.
Index: Comparison of Batches. A Short Excursion Into Matrix Algebra. Moving to Higher Dimensions.
Multivariate Distributions. Theory of The Multinormal. Theory of Estimation. Hypothesis Testing.
Decomposition of Data Matrices by Factors. Principal Components Analysis. Factor Analysis. Cluster Analysis. Discriminate Analysis. Correspondence Analysis. Canonical Correlation Analysis.
Multidimensional Scaling. Conjoint Measurement Analysis. Applications in Finance.
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A cura di Claudio Bartocci e Piergiorgio Odifreddi.  I luoghi e i tempi.
Einaudi , 2007.
All'interno dell'universo della matematica sembrano esserci infiniti temi, suggestioni, letture che, prendendo le mosse dagli studi specialistici, invadono e permeano ogni campo del sapere umano. Il libro è un'opera che getta una luce nuova sui rapporti, antichi e moderni, tra la scienza dei numeri e le altre forme di cultura. Claudio Barrocci e Piergiorgio Odifreddi, due matematici da sempre aperti al confronto interdisciplinare, curano questa "Grande Opera" in quattro volumi con il contributo di un comitato scientifico di prima grandezza e composta con i saggi di quasi cento autori provenienti da tutto il mondo. Il primo volume ripercorre in circa 30 saggi la storia di altrettanti centri di cultura dai quali si è irradiata nel mondo la conoscenza matematica, da Babilonia ed Atene a Oxford e a Princeton.
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Carlo Bagnoli. La misurazione economica sfocata.
F.Angeli , 2007.
Il volume studia le conseguenze che il riconoscimento della complessità dei fenomeni reali ha sul concetto classico di "misurazione" nelle scienze fisiche e sociali, e riflette sul significato e sulla funzione della misurazione in economia aziendale. Si approfondiscono le potenzialità e i limiti, nei campi propri dell'economia aziendale, della teoria degli insiemi sfocati, che rende possibile il rigoroso trattamento di misure vagamente espresse.
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Paolo Marcellini -  Carlo Sbordone. Matematica generale.
Liguori, 2007.
Il volume è rivolto a studenti che affrontano un corso universitario breve di Matematica Generale. In esso vengono trattati alcuni argomenti (qui sotto specificati) in un contesto semplificato, in accordo con le nuove esigenze didattiche determinate dai nuovi Corsi di Laurea di tre anni. Particolare enfasi viene data alle applicazioni. Gli argomenti trattati nel testo sono i seguenti: - i numeri e le funzioni reali; - i limiti di successioni e di funzioni; - le funzioni continue; - le matrici, i determinanti ed i sistemi lineari; - le derivate; - la rappresentazione di grafici di funzioni; - gli integrali definiti e indefiniti; - le funzioni di due variabili; - le serie.
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Marcus Du Sautoy. Il disordine perfetto.  Rizzoli, 2007.
Nel 1770, il quattordicenne Mozart si trovava in Italia assieme a suo padre. Il Giovedì Santo, andò ad assistere alla funzione celebrata nella Cappella Sistina per ascoltare il celebre Miserere di Allegri, l'incantevole pezzo corale che, per esplicito decreto del papa, poteva essere eseguito solo a Roma durante la Settimana Santa. Il ragazzo ne rimase talmente colpito che, tornato nel suo alloggio scrisse di getto, basandosi su quanto ricordava, l'intero spartito a nove voci. Fu solo la prodigiosa memoria del giovane musicista a rendere possibile questa impresa? Ne "Il disordine perfetto", Marcus du Sautoy mostra che l'atto di ricrearlo non fu tanto un merito della sua memoria, quanto piuttosto una conseguenza della straordinaria capacità di Mozart di cogliere la struttura logica interna della composizione, di catturarne la simmetria e di sfruttarla per ricostruire il pezzo a partire da quegli elementi che gli erano rimasti impressi. Ma quello di Mozart è solo uno degli infiniti esempi della potenza della simmetria, una caratteristica che pervade e anima ogni aspetto del mondo naturale e umano: dalle molecole di carbonio alle pietre di Stonehenge, dai mosaici dell'Alhambra ai codici informatici, dai virus alla musica fino al funzionamento stesso della mente umana. Nel suo libro, du Sautoy ci propone un viaggio nell'universo della simmetria e delle sue varie sfaccettature che è, al contempo, un viaggio nell'avvincente lavoro svolto dalla matematica per comprenderla, interpretarla e classificarla.
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George Gratzer . More math into LaTeX . Springer , 2007.
Index:  -European Mathematical Society Newsletter For close to two decades, Math into Latex has been the standard introduction and complete reference for writing articles and books containing mathematical formulas. In this fourth edition, the reader is provided with important updates on articles and books. An important new topic is discussed: transparencies (computer projections).Key features of More Math into Latex, 4th edition:- Installation instructions for PC and Mac users- An example-based, visual approach and a gentle introduction with the Short Course- A detailed exposition of multiline math formulas with a Visual Guide- A unified approach to Tex, Latex, and the AMS enhancements- A quick introduction to creating presentations with computer projectionsFrom earlier reviews of Math into Latex:&quotThere are several Latex guides, but this one wins hands down for the elegance of its approach and breadth of coverage.&quot-Amazon.com Best of 2000, Editor?s choice&quotA novice reader will be able to learn the most essential features of Latex sufficient to begin typesetting papers within a few hours of time?An experienced Tex user, on the other hand, will find a systematic and detailed discussion of Latex features.&quot-Report on Mathematical Physics &quotA very helpful and useful tool for all scientists and engineers.&quot.
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Levant Kandiller. Principles of mathematics in operations research.
Springer , 2007.
Index:  Introduction. Preliminary linear algebra. Orthogonality. Eigen values and vectors. Positive definiteness. Computational aspects. Convex sets. Linear programming. Number systems. Basic topology. Continuity. Differentiation. Power series and special functions. Special transformations.
Solutions.

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Rogemar S. Mamon - Robert J. Elliot (ed) .  Hidden Markov models. Springer , 2007.
A number of methodologies have been employed to provide decision making solutions to a whole assortment of financial problems in today's globalized markets. Hidden Markov Models in Finance by Mamon and Elliott will be the first systematic application of these methods to some special kinds of financial problems; namely, pricing options and variance swaps, valuation of life insurance policies, interest rate theory, credit risk modeling, risk management, analysis of future demand and inventory level, testing foreign exchange rate hypothesis, and early warning systems for currency crises. This book provides researchers and practitioners with analyses that allow them to sort through the random "noise" of financial markets (i.e., turbulence, volatility, emotion, chaotic events, etc.) and analyze the fundamental components of economic markets. Hence, Hidden Markov Models in Finance provides decision makers with a clear, accurate picture of core financial components by filtering out the random noise in financial markets.
Coll. 3 Xa 5






Constance Reid.  From zero to infinity.  A.K. Peters ,
2006.
A combination of number lore, number history, and descriptions of the simply stated, but difficult problems posed by the ordinary numbers that first appeared in 1955.
Coll. 3 Xa 4


Paul J. Nahin. Chases and escapes : the mathematics of pursuit and evasion.  Princeton university society ,
2007.
Index:  What You Need to Know to Read This Book (and How I Learned What I Needed to Know to Write It) xiii Introduction 1 Chapter 1: The Classic Pursuit Problem 7 1.1 Pierre Bouguer&aposs Pirate Ship Analysis 7 1.2 A Modern Twist on Bouguer 17 1.3 Before Bouguer: The Tractrix 23 1.4 The Myth of Leonardo da Vinci 27 1.5 Apollonius Pursuit and Ramchundra&aposs Intercept Problem 29 Chapter 2: Pursuit of (Mostly) Maneuvering Targets 41 2.1 Hathaway&aposs Dog-and-Duck Circular Pursuit Problem 41 2.2 Computer Solution of Hathaway&aposs Pursuit Problem 52 2.3 Velocity and Acceleration Calculations for a Moving Body 64 2.4 Houghton&aposs Problem: A Circular Pursuit That Is Solvable in Closed Form 78 2.5 Pursuit of Invisible Targets 85 2.6 Proportional Navigation 93 Chapter 3: Cyclic Pursuit 106 3.1 A Brief History of the n-Bug Problem, and Why It Is of Practical Interest 106 3.2 The Symmetrical n-Bug Problem 110 3.3 Morley&aposs Nonsymmetrical 3-Bug Problem 116 Chapter 4: Seven Classic Evasion Problems 128 4.1 The Lady-in-the-Lake Problem 128 4.2 Isaacs&aposs Guarding-the-Target Problem 138 4.3 The Hiding Path Problem 143 4.4 The Hidden Object Problem: Pursuit and Evasion as a Simple Two-Person, Zero-Sum Game of Attack-and-Defend 156 4.5 The Discrete Search Game for a Stationary Evader -- Hunting for Hiding Submarines 168 4.6 A Discrete Search Game with a Mobile Evader -- Isaacs&aposs Princess-and-Monster Problem 174 4.7 Rado&aposs Lion-and-Man Problem and Besicovitch&aposs Astonishing Solution 181 Appendix A: Solution to the Challenge Problems of Section 1.1 187 Appendix B: Solutions to the Challenge Problems of Section 1.2 190 Appendix C: Solution to the Challenge Problem of Section 1.5 198 Appendix D: Solution to the Challenge Problem of Section 2.2 202 Appendix E: Solution to the Challenge Problem of Section 2.3 209 Appendix F: Solution to the Challenge Problem of Section 2.5 214 Appendix G: Solution to the Challenge Problem of Section 3.2 217 Appendix H: Solution to the Challenge Problem of Section 4.3 219 Appendix I: Solution to the Challenge Problem of Section 4.4 222 Appendix J: Solution to the Challenge Problem of Section 4.7 224 Appendix K: Guelman&apo.
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Davar Koshnevisan. Probability.  American mathematical society  ,
2007.
Index:  Classical probability Bernoulli trials Measure theory Integration Product spaces Independence The central limit theorem Martingales Brownian motion Terminus: Stochastic integration Background material Bibliography Index Classical probability Bernoulli trials Measure theory Integration Product spaces Independence The central limit theorem Martingales Brownian motion Terminus: Stochastic integration Background material Bibliography.
Coll. 3 Xa 2



Charalambos D. Aliprantis - Rabee Tourky. Cones and duality.
American mathematical society  ,
2007.
Index:  Cones Cones in topological vector spaces Yudin and pull-back cones Krein operators $mathcal{K}$-lattices The order extension of $L&apos$ Piecewise affine functions Appendix: Linear topologies Bibliography.
Coll. 3 Xa 1


Andrea Consiglio (ed.).  Artificial markets modeling : methods and applications.
Springer ,
2007.
Agent-based computational modeling with its intrinsic multidisciplinary approach is gaining increasing recognition in the social sciences, particularly in economics, business and finance. The methodology is now widely used to compute analytical models numerically and test them for departures from theoretical assumptions, and to provide stand-alone simulation models for problems that are analytically intractable.This volume is devoted to recent contributions to the field from both the social sciences and computer sciences. It presents applications of agent-based computational methodologies and tools in the social sciences, focusing strongly on the uses, requirements and constraints of agent-based models employed by social scientists. Topics include agent-based macroeconomics, the emergence of norms and conventions, the dynamics of social and economic networks, and behavioral models in financial markets.
Coll. 2 Xa 21




Arthur Campbell (et al.). Solutions manual to accompany contract theory.
MIT press ,
2007.
A solutions manual for "Contract Theory". It gives complete solutions to 27 of the 54 exercises in the text, allowing students to study and compare their answers and take greater advantage of this crucial part of the book. It also follows the structure of the text, grouping exercises by chapter.
Coll. 2 Xa 20



Soren Asmussen, Peter W. Glynn. Stochastic simulation : algorithms and analysis Springer ,
2007.
Index:  Part A: General Methods and Algorithms. Generating Random Objects. Output Analysis.Steady
State Simulation. Variance Reduction Methods. Rare Event Simulation. Gradient Estimation. Stochastic Optimization.
Part B: Algorithms for Special Models. Numerical Integration. Stochastic Differential Equations. Gaussian Processes. Levy Processes. Markov Chain Monte Carlo Methods. Selected Topics and Extended
Examples. Appendix. Bibliography.
Coll. 2 Xa 19
Coll. 2 Xa 19/a




Michel Denuit. Actuarial modelling of claim counts : risk classification, credibility and bonus-malus system.
Wiley , 2007.
Index: Foreword.Preface.Notation.Part I Modelling Claim Counts.1 Mixed Poisson Models for Claim Numbers.1.1 Introduction.1.2 Probabilistic Tools.1.3 Poisson Distribution.1.4 Mixed Poisson Distributions. 1.5 Statistical Inference for Discrete Distributions.1.6 Numerical Illustration.1.7 Further Reading and Bibliographic Notes.2 Risk Classification.2.1 Introduction.2.2 Descriptive Statistics for Portfolio A.2.3 Poisson Regression Model.2.4 Overdispersion.2.5 Negative Binomial Regression Model.2.6 Poisson
Inverse Gaussian Regression Model.2.7 Poisson
LogNormal Regression Model.2.8 Risk Classification for Portfolio A.2.9 Ratemaking using Panel Data.2.10 Further Reading and Bibliographic Notes.Part II Basics of Experience Rating.3 Credibility Models for Claim Counts.3.1 Introduction.3.2 Credibility Models.3.3 Credibility Formulas with a Quadratic Loss Function.3.4 Credibility Formulas with an Exponential Loss Function.3.5 Dependence in the Mixed Poisson Credibility Model.3.6 Further Reading and Bibliographic Notes.4 Bonus
Malus Scales.4.1 Introduction.4.2 Modelling Bonus Malus Systems.4.3 Transition Probabilities.4.4 Long
Term Behaviour of Bonus Malus Systems.4.5 Relativities with a Quadratic Loss Function.4.6 Relativities with an Exponential Loss Function.4.7 Special Bonus Rule.4.8 Change of Scale.4.9 Dependence in Bonus Malus Scales.4.10 Further Reading and Bibliographic Notes.Part III Advances in Experience Rating.5 Efficiency and Bonus Hunger.5.1 Introduction.5.2 Modelling Claim Severities.5.3 Measures of Efficiency for Bonus Malus Scales.5.4 Bonus Hunger and Optimal Retention.5.5 Further Reading and Bibliographic Notes.6 Multi Event Systems.6.1 Introduction.6.2 Multi Event Credibility Models.6.3 Multi
Event Bonus Malus Scales.6.4 Further Reading and Bibliographic Notes.7 Bonus Malus Systems with Varying Deductibles.7.1 Introduction.7.2 Distribution of the Annual Aggregate Claims.7.3 Introducing a Deductible within a Posteriori Ratemaking.7.4 Numerical Illustrations.7.5 Further Reading and Bibliographic Notes.8 Transient Maximum Accuracy Criterion.8.1 Introduction.8.2 Transient Behaviour and Convergence of Bonus Malus Scales.8.3 Quadratic Loss Function.8.4 Exponential Loss Function.8.5 Numerical Illustrations.8.6 Super Bonus Level. 8.7 Further Reading and Bibliographic Notes.9 Actuarial Analysis of the French Bonus Malus System.9.1 Introduction.9.2 French Bonus
Coll. 2 Xa 18





Annamaria Squellati Marinoni.
Esercizi svolti di matematica generale.
Unicopli , 1995.
Coll. 2 Xa 17




Michael J. Mauboussin. More than you know : finding financial wisdom in unconventional places.
Columbia univesity press , 2006.
Explores ideas from a variety of disciplines to develop sound investment strategies and different approaches to understanding such concepts as choice, risk, and innovation. Drawing lessons from casino gambling and other disciplines, this book shows how attention to process produces the best long-term financial results for investors.
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Neil Hindman - Dona Strauss. Algebra in the Stone-Cech compactification : theory and applications.
W. de Gruyter , 1998.
A study of the algebraic properties of compact right topological semigroups in general and the Stone-Cech compactification of a discrete semigroup in particular. Several powerful applications to combinatorics are given, and connections with topological dynamics and ergodic theory are presented.
Coll. 2 Xa 15

David A. Kendrick -  P. Ruben Mercado -  Hans M. Amman- A.K. Computational economics. Princeton university press , 2006.
Index: Preface ix Introduction 1 PART I: Once Over Lightly ... Growth Chapter 1: Growth Model in Excel 9 Finance Chapter 2: Neural Nets in Excel 25 Microeconomics Chapter 3: PartIal Equilibrium in Mathematica 37 Chapter 4: Transportation in GAMS 55 Database Chapter 5: Databases in Access 67 Finance Chapter 6: Thrift in GAMS (with Genevieve Solomon) 91 Chapter 7: Portfolio Model in MATLAB 119 PART II: Once More ... Microeconomics Chapter 8: General Equilibrium Models in GAMS 149 Game Theory Chapter 9: Cournot Duopoly in Mathematica (with Daniel Gaynor) 173 Chapter 10: Stackelberg Duopoly in Mathematica (with Daniel Gaynor) 189 Chapter 11: Genetic Algorithms and Evolutionary Games in MATLAB 201 Finance Chapter 12: Genetic Algorithms and Portfolio Models in MATLAB 223 Macroeconomics Chapter 13: Macroeconomics in GAMS 247 Agent-Based Computational Economics Chapter 14: Agent-Based Model in MATLAB 267 Environmental Economics Chapter 15: Global Warming in GAMS 291 Dynamic Optimization Chapter 16: Dynamic Optimization in MATLAB 309 PART III: Special Topic:tochastic Control Stochastic Control Chapter 17: Stochastic Control in Duali 339 Chapter 18: Rational Expectations Macro in Duali 361 APPENDIXES A. Running GAMS 389 B. Running Mathematica 391 C. Running the Solver in Excel 393 D. Ordered Sets in GAMS 394 E. Linearization and State-Space Representation of Hall and Taylor&apos1
Coll. 2 Xa 14



A.R. Rajwad, - A.K. Bhandari . Surprises and counterexamples in real function theory groups.
Hindustan book agency , 2007.
Index: 1: Introduction to the real line R and some of its subsets 2: Functions: Pathological, peculiar and extraordinary 3: Famous everywhere continuous, nowhere differentiable functions: van der Waerden&aposs and other 4: Functions: Continuous, periodic, locally recurrent and others 5: The derivative and higher derivatives 6: Sequences, Harmonic Series, Alternating Series and related result 7: The infinite exponential and related results. A.1. Stirling&aposs formula and the trapezoidal rule A.2. Schwarz differentiability A.3. Cauchy&aposs functional equation f(x + y) = f(x) + f(y).
Coll. 2 Xa 13





Alexander Lubotzky . Discrete groups, expandings graphs and invariant measures.
Birkhauser , 1994.
Index: Expanding graphs the Banach-Ruziewicz problem Kazhdan property (T) and its applications the Laplacian and its eigenvalues the representation theory of PGL2 spectral decomposition of L2 (G(Q)\G(A)) Banach-Ruziewicz problem for n=2,3, - Ramanujan graphs some more discrete mathematics distributing points on the sphere.
Coll. 2 Xa 12




Luciana Bazzini. Matematica e scuola : facciamo il punto : atti del primo convegno MeS.
F. Angeli , 2001.
Coll. 2 Xa 11




Christer Carlsson - Mario Fedrizzi - Robert Fuller. Fuzzy logic in management .
Kluwer, 2004.
Index: List of Tables.Introduction.1: Management and intelligent support technologies.2: Fuzzy sets and fuzzy logic.3: Group decision support systems.
4: Fuzzy real options for strategic planning.5: A fuzzy approach to reducing the bullwhip effect.6: Knowledge management.Preface. 1
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Steven J. Miller - Ramin Takloo-Bighash.  An invitation to modern number theory .
Princeton and Oxford University Press , 2006.
Foreword xi Preface xiii Notation xix PART 1. BASIC NUMBER THEORY 1 Chapter 1. Mod p Arithmetic, Group Theory and Cryptography 3 Chapter 2. Arithmetic Functions 29 Chapter 3. Zeta and L-Functions 47 Chapter 4. Solutions to Diophantine Equations 81 PART 2. CONTINUED FRACTIONS AND APPROXIMATIONS 107 Chapter 5. Algebraic and Transcendental Numbers 109 Chapter 6. The Proof of Roth&aposs Theorem 137 Chapter 7. Introduction to Continued Fractions 158 PART 3. PROBABILISTIC METHODS AND EQUIDISTRIBUTION 189 Chapter 8. Introduction to Probability 191 Chapter 9. Applications of Probability: Benford&apos
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Edward T. Dowling. Introduction to mathematical economics  McGraw Hill , 1980.
Review. Economic Applications of Graphs and Equations. The Derivative and the Rules of Differentiation. Uses of the Derivative in Mathematics and Economics. Calculus of Multivariable Functions. Caculus of Multivariable Functions in Economics. Exponential and Logarithmic Functions in Economics. Differentiation of Exponential and Logarithmic Functions. The Fundamentals of Linear (or Matrix) Algebra. Matrix Inversion. Special Determinants and Matrices and Their Use in Economics. Comparative Statics and Concave Programming. IUntegral Calculus: The Indefinite Integral. Integral Calculus: The Definite Integral. First Order Differential Equations. First Order Difference Equations. Second
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Rudolf Avenhaus, I. William Zartman (Editors). Diplomacy games : formal models and international negotiations 
Springer , 2007.
Presenting formal models of conflict resolution and international negotiations, this book describes different models and approaches of conflict resolution
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Volodymyr Nekrashevych. Self-Similar Groups
American Mathematical Society, 2005.

Basic definitions and examples Algebraic theory Limit spaces Orbispaces Iterated monodromy groups Examples and applications Bibliography Index Basic definitions and examples Algebraic theory Limit spaces Orbispaces Iterated monodromy groups Examples and applications Bibliography
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NUOVI ARRIVI APRILE- MAGGIO 2007

Brams. Superior Beings: if They Exist, How would we know? Springer, 2006.
Index: Preface. 1. Introduction; 2. The Rationality of Belief in a Superior Being; 3. Omniscience and Partial Omniscience; 4. The Paradox of Omniscience and the Theory of Moves; 5. Omnipotence: moving and Staying Power; 6. Immortality and Incomprehensibility; 7. Superior Beings: They May Be Undecidable.
Coll. 1 Xa 28



Di Bucchianico - Mattheij. Progress in Industrial Mathematics at ECMI 2004. Springer, 2006.
Index: Preface. 1. Aerospace; 2.Electronic Industry; 3. Chemical Technology; 4. Life Sciences; 5. Materials; 6. Geophysics; 7. Financial Mathematics; 8. Water Flow; 9. Other Contributions;
Coll. 1 Xa 22



Michael J. Crawley.The R Book. Wiley, 2007.
Index: 1. Getting started; 2. Essentials of the R Language; 3. Data Input; 4. Dataframes; 5. Graphics; 6. Tables; 7. Mathematics; 8. Classical tests; 9. Statistical Modelling; 10. Regression; 11. Analysis of Variance; 12. Analysis of Covariance; 13. Generalized Linear Models; 14. Count Data; 15. Count Data in tables; 16. Proportion Data; 17. Binary Response Variables; 18. Generalized Additive Models; 19. Mixed-Effects Models; 20. Non-linear regression; 21. Tree models; 22. Time series analysis; 23. Multivariate statistics; 24. Spatial Analysis; 25. Survival Analysis; 26. Simulation Modles; 27. Changing the look of graphics.
Coll. 2 Xa 4



Harry Dym. Linear Algebra in Action. AMS, 2007.
Index: Preface. 1. Vector spaces; 2. Gaussian elimination; 3. Additional applications of Gaussian elimination; 4. Eigenvalues and eigenvectors; 5. Determinants; 6. Calculating Jordan Forms; 7. Normed linear spaces; 8. Inner product spaces and orthogonality; 9. Symmetric, Hermitian and normal matrices; 10. Singular values and related inequalities; 11. Pseudoinverses; 12. Triangular factorization and positive definite matrices; 13. Difference equations and differential equations; 14. Vector valued parameters; 15. The Implicit function theorem; 16. Extremal problems; 17. Matrix valued holomorphic functions; 18. Matrix equations; 19. Realization theory; 20. Eigenvalue location problems; 21. Zero location problems; 22. Convexity; 23. Matrices with nonnegative entries; APPENDIX A: Some Facts from analysis; APPENDIX B: More Complex variables.
Coll. 2 Xa 2



Jack Hungelmann. Insurance for dummies. Wiley, 2007.
Index: Preface. 1. Getting started; 2. Undersatanding Automobile Insurance; 3. Understaing Home Insurance; 4. Buying an Unbrella Policy; 5. Dealing with Insurance Companies; 6. Managing Life, Health, and Disability Risks; 7. The part of tens. Appendix.
Coll. 2 Xa 3



Matousek - Gartner. Understanding and Using Linear Programming. Springer, 2006.
Index: Preface. 1. What is It, and What for?; 2. Examples; 3. Integer Programming and LP Relaxation; 4. Theory of Linear programming; 5. The Simplex Method; 6. Duality of Linear programming; 7. Not Only the Simplex Method; 8. More Applications; 9. Software and Further Readings.
Coll. 1 Xa 26



John Miller - Scott Page. Complex Adaptive Systems: an introduction to Computational Models of Social Life. Princeton U.P., 2007.
Index: Preface. 1. Introduction; 2. Preliminaries; 3. Computational Modeling; 4. Models of Complex Adaptive Social Systems; 5. Conclusions.
Coll. 1 Xa 29



Efe A. Ok. Real analysis with Economic Applications. Princeton University Press, 2007.
Index: Preface. 1. Set Theory; 2. Analysis on Metric Spaces; 3. Analysis on Linear Spaces; 4. Analysis on Metric/normed linear spaces; Index.
Coll. 2 Xa 1



Platen - Heath. A Benchmark Approach to Quantitative Finance. Springer, 2006.
Index: Preface. 1. Preliminaries from probability Theory; 2. Statistical Methods; 3. Modeling via Stochastic Processes; 4. Diffusion Processes; 5. Martingales and Stochastic Integrals; 6. The Ito Formula; 7. Stochastic Differential Equations; 8. Introduction to Option pricing; 9. Various Approaches to asset pricing; 10. Continuous Financial Markets; 11. Portfolio Optimization; 12. Modeling Stochastic Volatility; 13. Minimal Market Model; 14. Markets with Event Risk; 15. Numerical Methods.
Coll. 1 Xa 24



Resende - Pardalos. Handbook of Optimization in Telecommunications. Springer, 2006.
Index: Preface. 1. Optimization Algorithms; 2. Planning and Design; 3. Routing; 4. Reliability, restoration, and grooming; 5. Wireless; 6. The Web and Beyond.
Coll. 1 Xa 25



William Rice IV. Moodle. Packt, 2007.
Index: Preface. 1. Introduction; 2. Installing and configuring Moodle; 3. Creating Categories and Courses; 4. Adding Static Course Material; 5. Adding Interactive Course Material; 6. Adding Social Course Material; 7. Welcoming your students; 8. Features for Teachers; 9. Extending and Administering Moodle. Index
Coll. 2 Xa 5



Salicone Simona. Measurement Uncertainty: an approach via the Mathematical Theory of Evidence. Springer, 2006.
Index: Preface. 1. Uncertainty in Measurement; 2. Fuzzy Variables and Measurement Uncertainty; 3. The Theory of Evidence; 4. Random-Fuzzy Variables; 5. Construction of Ramdon-Fuzzy Variables; 6. Fuzzy Operators; 7. The Mathematics of Random-Fuzzy Variables; 8. Representation of Random-Fuzzy Variables; 9. Decision-Making Rules with Random-Fuzzy Variables; 10. List of Symbols.
Coll. 1 Xa 27



Sondermann Dieter. Introduction to Stochastic Calculus for Finance. Springer, 2006.
Index: Preface. 1. Preliminaries; 2. Introduction to Ito-Calculus; 3. The Girsanov Transformation; 4. Application to Financial Economics; 5. Term Structure Models; 6. Why do We Need Ito-Calculus in Finance? 7. Appendix.
Coll. 1 Xa 23



NUOVI ARRIVI MARZO 2007

Bruce C. Berndt. Number Theory in the Spirit of Ramanujan. AMS, 2006.
Index: Preface. 1. Introduction; 2. Congruences for p(n) and t(n); 3. Sums of Squares and Sums of Triangular Numbers; 4. Eisenstein Series; 5. The Connection between Hyper geometric Functions and Theta Functions.; 6. Applications of the preliminary Theorem of Chapter 5; 7. The Rogers-Ramanujan Continued Fraction; Bibliography
Coll. 1 Xa 18



Jorg Bewersdorff. Galois Theory for Beginners: a historical perspective. AMS, 2006.
Index: 1. Cubic Equations; 2. Casus Equations; 3. Biquadratic Equations; 4. Equations of Degree n and their properties; 5. The Search for Additional Solution Formulas; 6. Equations that can be reduced in degree; 7. The Construction of regular Polygons; 8. The Solution of Equations of the Fifth Degree; 9. The Galois Group of an equation; 10. Algebraic Structures and Galois Theory. Bibliography
Coll. 1 Xa 21



Charles Holt. Markets, Games and Strategic Behavior. Pearson, 2006.
Index: 1. Basic concepts: decision, game theory and market equilibrium; 2. Market experiments; 3. Bargaining and Behavioral Labor Economics; 4. Public Choice; 5. Auctions; 6. Behavioral Game Theory: treasures and Intuitive Contradictions; 7. Individual Decision Experiments; 8. Information, Learning, and Signaling; 9. Class Experiments.
Coll. 1 Xa 17



Joingmin Yong. Recent Developments in Mathematical Finance: International Conference on Mathematical Finance, 2002. World Scientific, 2002.
Coll. 1 Xa 16



Anne L. Young. Mathematical Ciphers: from Caesar to RSA. AMS, 2006.
Index: 1. Introduction; 2. Caesar Ciphers; 3. Terminology and results from Number Theory; 4. Modular Arithmetic; 5. Describing the Caesar cipher Mathematically; 6. Cryptanalysis for the Caesar Cipher; 7. Multiplication Cipher; 8. Cryptanalysis for the multiplication-shift cipher; 9. Multiplication-shift cipher; 10. Non Mathematical substitution ciphers; 11. Preparing to generalize; 12. Finding Inverse Modulo n; 13. General Multiplication-shift cipher; 14. Security of the general multiplication-shift cipher; 15. Introduction to the Exponential Cipher; 16. Deciphering the Exponential Cipher; 17. Cryptanalysis for the Exponential Cipher; 18. Mathematical Basis for the Exponential Cipher; 19. Public Key Ciphers; 20. RSA Cipher.
Coll. 1 Xa 19



Shahriar Shahriari. Approximately Calculus. AMS, 2006.
Index: 1. Patterns and Induction; 2. Divisibility; 3. Primes; 4. Derivatives and Approximations of Functions; 5. Anti-derivatives and Integration; 6. Distribution of Primes; 7. Log, Potential and the Inverse Trigonometric Functions; 8. The Mean Value Theorem and Approximation; 9. Linearization Topics; 10. Defining Integrals, Areas, and Arclenghts; 11. Improper integrals and techniques of integration; 12. The Prime Number Theorem; 13. Local approximation of Functions and Integrals Estimations Goals; 14. Sequences and Series; 15. Power Series and Taylor Series; 16. More on series; 17. Limit of Functions; 18. Differential Equations. 19. Logical Arguments. Bibliography.
Coll. 1 Xa 20



NUOVI ARRIVI GENNAIO - FEBBRAIO 2007

Coletti - Scozzafava. Probabilistic Logic in a Coherent Setting. Kluwer, 2006.
Index: 1. Introduction; 2. Events as Propositions; 3. Finitely Additive Probability; 4. Coherent probability; 5. Betting Interpretation of Coherence; 6. Coherent Extensions of probability Assessments; 7. Random Quantities; 8. Probability Meaning and assessment; 9. To be or not to be Compositional?; 10. Conditional Events; 11. Coherent conditional probability; 12. Zero-Layers; 13. Coherent Extensions of Conditional Probability; 14. Exploiting Zero Probabilities; 15. Lower and Upper Conditional Probabilities; 16. Inference; 17. Stochastic Independence in a Coherent Setting; 18. A Random Walk in the Midst of Paradigmatic; 19. Fuzzy Sets and Possibility as Coherent Conditional Probabilities; 20 Coherent Conditional Probability and Default Reasoning; 21. Short Account of Decomposable Measures. Coll. 1 Xa 3



Chung Kai Lai. Chance & Choice Memorabilia. World Scientific, 2005.
Index: 1. Will the Sun Rise again?; 2. Continuous Parameter Markov Chains; 3. Hsu's Work in Probability.
Coll. 1 Xa 8



Clemens van Dinther. Adaptive Bidding in Singles-Sided Auctions Under Uncertainty: an Agent-based Approach in Market Engineering. Birkhauser, 2006.
Index: 1. Motivation and Fundamentals; 2. Agent-Based Simulation Approaches and Tools; 3. Examination of Bidding under Uncertainty; 4. Concluding Discussion and Future Research. 5. Appendixes.
Coll. 1 Xa 6



Hodge - Klima. The Mathematics of Voting and Elections: a Hand-On Approach. AMS, 2006.
Index: 1. What 's so Good about Majority Rule?; 2. Perot, Nader and other Inconveniences; 3. Back into the Ring; 4. Trouble in Democracy; 5. Explaining the Impossible; 6. One person, One vote?, 7. Calculating Corruption; 8. The Ultimate College Experience; 9. Trouble in Direct Democracy; 10. Proportional (Mis)representation. Bibliography
Coll. 1 Xa 1



Oliver Johnson. Information Theory and the Central Limit Theorem. Imperial College Press, 2006.
Index: 1. Introduction to Information Theory; 2. Convergence in Relative Entropy; 3. Non-Identical Variables and Random Vectors; 4. Dependent Random Variables; 5. Convergence to Stable Laws; 6. Convergence on Compact Groups; 7. Convergence to the Poisson Distribution; 8. Free Random Variables; Appendix A: Calculating Entropies; Appendix B: Poincaré Inequalities; Appendix C: de Bruijn Identity; Appendix D: Entropy Power Inequality; Appendix E: Relationships Between Different Forms of Convergence.
Coll. 1 Xa 9



Robert Kolb. Practical Reading in Financial Derivatives. Blackwell, 2006.
Index: A. INSTRUMENTS AND PRICING: 1. Future and Forwards; 2. Options; 3. Swaps; 4. Exotics; B: RISK MANAGEMENT APPLICATIONS: 1. Overview; 2. Debt Markets; 3. Equity Markets; 4. Over-the-counter Markets.
Coll. 1 Xa 4



Christopher G. Small. Functional Equations and How to Solve Them. Springer, 2006.
Index: 1. An historical introduction; 2. Functional equations with two variables; 3. Functional equations with one variable; 4. Miscellaneous methods for functional equations; 5. Some closing heuristics; 6. Appendix: Hamel Bases; 7. Hints and partial solutions to problems. 8. Bibliography.
Coll. 1 Xa 5



Symeonidis - Mitkas. Agent Intelligence through Data Mining. Springer, 2005.
Index: 1. Concepts and Techniques; 2. Methodology; 3. Knowledge Diffusion: Three Representative Test Cases; 4. Extensions;
Coll. 1 Xa 2



Gerald H. Thomas. Geometry, Language and Strategy. World Scientific, 2004.
Index: 1. Introduction; 2. Rules-of-the-Game; 3. Flow of Strategic-Mass; 4. Game Symmetries; 5. Analysis; 6. Graphical Presentation; 7. Applications and Open Problems;
Coll. 1 Xa 7



NUOVI ARRIVI GIUGNO – DICEMBRE 2006

Cynthia Barnhart – Gilbert Laporte. Transportation. Elsevier, 2007.
Index: 1. Air Transportation: Irregular operations and Control; 2. Public Transit; 3. Passenger Railway Optimization; 4. Maritime Transportation; 5. Dynamic Models for freght Transportation; 6. Vehicle Routing; 7. Transportation on Demand; 8. Intermodal Transportation; 9. Hazardous Materials Transportation; 10. Traffic Equilibrium; 11. ITS and Traffic Management; References. Coll. 5 Fa 48



Christopher Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
Index: 1. Introduction; 2. Probability Distributions; 3. Linear Models for Regression; 4. Linear Models for Classificiation; 5. Neural Networks; 6. Kernel Methods; 7. Sparse Kernel Machines; 8. Graphical Models; 9. Mixture Models and EM; 10. Approximate Inference; 11. Sampling Methods; 12. Continuous Latent Variables; 13. Sequential Data; 14. Combinign Models; References. Coll. 1 Ea 49



Philip Booth. Modern Actuarial Theory and Practice. Chapman and Hall CRC, 2005.
Index: 1. Investment; 2. Life Insurance; 3. General Insurance; 4. Pensions; 5. Health Insurance; Bibliography. Coll. 4 Ea 41



J. Robert Buchanan. An Undergraduate Introduction to Financial Mathematics. World Scientific, 2006.
Index: 1. The theory of interest; 2. Discrete Probability; 3. Normal Random Variables and Probability; 4. The Arbitrage Theorem; 5. Random Walks and Brownian Motion; 6. Options; 7. Solution of the Black-Scholes Equation; 8. Derivatives of Black-Scholes Option Prices; 9. Hedging; 10. Optimizing Portfolios; A. Sample Stock Market data; B. Solution to Chapter Exercises. Bibliography. Coll. 5 Fa 45



J. W. S. Cassels. An introduction to the Geometry of Numbers. Springer, 1997.
Index: 1. Lattices; 2. Reduction; 3. Theorems of Blichfeldt and Minkowski; 4. Distance functions; 5. Mahler0s compactness theorem; 6. The theorem of Minkowski-Hlawka; 7. The quotient space; 8. Successive minima; 9. Packings; 10. Automorphs; 11. Inhomogeneous problems. Coll. 1 C 41



P. Cherix – M. Cowling. Groups with the Haagerup Property. Birkhauser, 2001.
Index: 1. Introduction; 2. Dynamical Characterizations; 3. Simple Lie Groups of Rank One; 4. Classificiation of Lie Groups with the Haagerup Property; 5. The Radial Haagerup Property; 6. Discrete Groups; 7. Open Questions and Partial Results; Bibliography. Coll. 1 C 43



P. Dembowski. Finite geometries. Springer, 2000.
Index: 1. Basic Concepts; 2. Designs; 3. Projective and Affine properties; 4. Collineations of Finite Planes. 5. Construction of Finite Planes; 6. Inversive Planes. 7. Appendices. Coll. 5 Fa 44



R. Hartshorne. Geometry: Euclid and Beyond. Springer, 2000.
Index: 1. Euclid's Geometry; 2. Hilbert's Axioms; 3. Geometry over Fields; 4. Segment Arithmetic; 5. Area; 6. Construction Problems and Field extensions; 7. Non-Euclidean Geometry; 8. Polyhedra; References. Coll. 1 C 42



Tatsuri Ichiishi. Microeconomic Theory. Blackwell, 1997.
Index: 1. Static Analysis of Consumer; 2. Static Analysis of Producer Behavior; 3. Partial Equilibrium Analysis of output Market; 4. General Equilibrium Analysis; 5. Behavior under Uncertainty; 6. General Equilibrium Analysis of Uncertainty; 7. Information Processing; 8. Underlying Game-Theoretical Structure; 9. Cooperative behavioral principle: Theory of the Firm; References. Coll. 1 Ea 50



David G. Luenberger. Finanza e investimenti: fondamenti matematici. Apogeo, 2006.
Index: Introduzione; 1. Successioni di flussi di cassa deterministiche; 2. Flussi di cassa aleatori; 3. I contratti a termine e i titoli derivati; 4. Flussi di cassa: il caso generale; bibliografia. Coll. 1 Ea 48



George J. Mailath – Larry Samuelson. Repeated games and reputations: Long-Run Relationships. Oxford University Press, 2006.
Index: 1. Introduction; 2. Games with Perfect Monitoring; 3. The Folk Theorem with perfect Monitoring; 4. How Long is Forever?; 5. Variations on the Game; 6. Applications; 7. Basic Structure of Repeated games with Imperfect Public Monitoring; 8. Bounding Perfect Public Equilibrium Payoff; 9. The Folk Theorem with Imperfect Public Monitoring; 10. Private Strategies in Games with Imperfect Monitoring; 11. Applications; 12. Private Monitoring; 13. Almost Public Monitoring Games; 14. Belief-Equilibria in private Monitoring Games; 15. Reputations with Short-Lived Players; 16. Reputations with Long-Lived Players; 17. Finitely Repeated Games; 18. Modeling Reputations; Bibliography. Coll. 5 Fa 47



Dolly Predovic. La valutazione del marchio: dalla consumer-based brand equity alla valutazione finanziaria. Egea, 2006.
Index: 1. Marchio, marca e brand equity; 2. La valutazione delle aziende; 3. Il marchio nella disciplina giuridica e contabile; 4. La valutazione monetaria del brand; 5. I modelli di valutazione monetaria del marchio; 6. Una metodologia condivisa per la valutazione monetaria del marchio; Bibliografia. Coll. 1 C 39



Sidney I. Resnick. Heavy-Tail Phenomena: Probabilistic and Statistical Modeling. Springer, 2006.
Index: 1. Introduction; 2. Crash Course I Regular Variation; 3. Crash Course II Weak Convergence and Implications for Heavy-Tail Analysis; 4. Dipping a Toe in the Statistical Water; 5. The Poisson Process; 6. Multivariate Regular Variation and the Poisson Transform; 7. Weak Convergence and the Poisson process; 8. Applied Probability Models and the Heavy Tails; 9. Additional Statistics Topics; 10. Notation and Conventions; 11. Software. Coll. 5 Fa 43



Vladimir I. Rotar. Actuarial Models: the Mathematics of Insurance. Chapman & Hall CRC, 2004.
Index: 0. Some Preliminary Notions and Facts from Probability Theory, the Theory of Interest, and Calculus; 1. Comparison of Random Variables. Preferences of Individuals; 2. An Individual Risk Model for a Short Period; 3. Conditional Expectations; 4. A Collective Risk Model for a Short Period; 5. Random processes. Counting and Compound Processes. Markov Chains. Modeling Claim and Cash Flows; 6. Random Processes. Brownian Motion and Martingales. Hitting Times; 7. Global Characteristics of the Surplus Process. Ruin Models. Models with paying Dividends; 8. Survival Distributions; 9. Life Insurance Models; 10.Annuity Models; 11. Premium and Reserves; 12. Risk Exchange: reinsurance and Coinsurance. References. Coll. 5 Fa 46



Carlo Vercellis. Business Intellingence: Modelli Matematici e Sistemi per le Decisioni. McGraw Hill, 2006.
Index: 1. Business Intelligence; 2. Sistemi di supporto alle decisioni; 3. Data warehousing; 4. Modeli matematici per le decisioni ; 5. Data mining; 6. Preparazione dei dati; 7. Esplorazione dei dati; 8. Regressione; 9. Serie storiche; 10. Classificazione; 11. Regole associative; 12. Clustering; 13. Modelli di marketing; 14. Modelli logistici e produttivi; 15. Data envelopment analysis; Indice.
Coll. 1 C 38



James Webb. Game Theory: Decisions, Interaction and Evolution. Springer, 2006.
Index:  1. Simple Decision Models; 2. Simple Decision processes; 3. Markov Decision Processes; 4. Static Game; 5. Finite Dynamic Games; 6. Games with Continuous Strategy Sets; 7. Infinite Dynamic Games; 8. Population Games; 9. Replicator Dynamics. Bibliography. Coll. 5 Fa 42



R. Whaley. Derivatives: markets, valuation, and risk management. Wiley, 2006.
Index: 1. Derivative Market; 2. Fundamentals of Valuation; 3. Forwards/Future/Swap Valuation; 4. Option Valuation; 5. Stock Derivatives; 6. Stock Index Derivatives; 7. Currency Derivatives; 8. Interest Rate Derivatives; 9. Commodity Derivatives; 10. Lessons Learned; References. Coll. 1 C 40



NUOVI ARRIVI MARZO – MAGGIO 2006

Girelli. Noi e i Numeri.



Gisler – Buehlmann. A Course in Credibility Theory and its Applications.



Kai Lai – AitSahlia. Elementary Probability Theory: with Stochastic Processes and an Introduction to Mathematical Finance.



Phillips. Mathematics is not a Spectator Sport.



Rubinstein. A History of the Theory of Investments: my annotate bibliography.



Singer. Duality for Nonconvex Approximation and Optimization.



Stillwell. The Four Pillars of Geometry.



NUOVI ARRIVI FEBBRAIO 2006

Geever. The Foundation Center's Guide to Proposal Writing.



Tramontana. Guida ai Corporate Bond: come guadagnare controllando i rischi.



Williams. Storia dell'Intelligenza Artificiale: la battaglia per la conquista della scienza del XXI secolo.



NUOVI ARRIVI GENNAIO 2006

Andreescu – Mushkarov – Stoyanov. Geometric Problems on Maxima and Minima.



Bamberg – Sternberg. A course in Mathematics for Students in Physics. Vol. I – Vol. II



Bornemann – Laurie. The SIAM 100-Digit. Challenge. A study in High-Accuracy Numerical Computing.



Cieslik. Steiner Minimal Trees.



Consul – Famoye. Lagrangian Probability Distributions.



Cresswell. Mathematics and Sex.



Delbaen – Schachermayer. The Mathematics of Arbitrage.



Hoffman. The man who loved only numbers: the story of Paul Erdos and the search for mathematical truth.