Algorithmic Game Theory, Vittorio Bil?; Michele Flammini

Автор: Gairing
Название: Algorithmic Game Theory
ISBN: 3662533537 ISBN-13(EAN): 9783662533536
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 9th International Symposium on Algorithmic Game Theory, SAGT 2016, held in Liverpool, UK, in September 2016.

Автор: Edited by Noam Nisan
Название: Algorithmic Game Theory
ISBN: 0521872820 ISBN-13(EAN): 9780521872829
Издательство: Cambridge Academ
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Описание: More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art. Basic chapters on algorithmic methods for equilibria, mechanism design and combinatorial auctions are followed by chapters on incentives and pricing, cost sharing, information markets and cryptography and security.

Автор: Roughgarden
Название: Twenty Lectures on Algorithmic Game Theory
ISBN: 1107172667 ISBN-13(EAN): 9781107172661
Издательство: Cambridge Academ
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Описание: This book gives students a quick and accessible introduction to many of the most important concepts in the field of algorithmic game theory. It demonstrates these concepts through case studies in online advertising, wireless spectrum auctions, kidney exchange, and network management.

Автор: Roughgarden
Название: Twenty Lectures on Algorithmic Game Theory
ISBN: 131662479X ISBN-13(EAN): 9781316624791
Издательство: Cambridge Academ
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Описание: This book gives students a quick and accessible introduction to many of the most important concepts in the field of algorithmic game theory. It demonstrates these concepts through case studies in online advertising, wireless spectrum auctions, kidney exchange, and network management.

Автор: Burkhard Monien; Ulf-Peter Schroeder
Название: Algorithmic Game Theory
ISBN: 3540793089 ISBN-13(EAN): 9783540793083
Издательство: Springer
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Описание: First International Symposium SAGT 2008 Paderborn Germany April 30 - May 2 2008 Proceedings.

Автор: Marios Mavronicolas; Maria Papadoupoulou
Название: Algorithmic Game Theory
ISBN: 3642046444 ISBN-13(EAN): 9783642046445
Издательство: Springer
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Описание: This volume contains the papers presented at the Second International Sym- sium on Algorithmic Game Theory (SAGT 2009), which was held on October 18-20, 2009, in Paphos, Cyprus. This event followed the ?rst, very successful SAGT symposium, which took place in Paderborn, Germany, last year. The purpose of SAGT is to bring together researchers from computer s- ence, economics and mathematics to present and discuss originalresearchat the intersection of algorithms and game theory. It has been intended to cover all important areas such as solution concepts, game classes, computation of equil- riaandmarketequilibria, algorithmicmechanismdesign, automatedmechanism design, convergenceandlearningingames, complexityclassesingametheory, - gorithmicaspectsof?xed-pointtheorems, mechanisms, incentivesandcoalitions, cost-sharing algorithms, computational problems in economics, ?nance, decision theory and pricing, computational social choice, auction algorithms, price of - archyand its relatives, representationsof games and their complexity, economic aspects of distributed computing and the internet, congestion, routing and n- work design and formation games and game-theoretic approaches to networking problems. Approximately55submissionstoSAGT2009 werereceived.Eachsubmission was reviewed by at least three Program Committee members. The Program Committee decided to accept 29 papers. Out of these, a small number will be invited to a Special Issue of the Theory of Computing Systems journal with selected papers from SAGT 2009. The program of SAGT 2009 featured three invited talks from three outstanding researchers in algorithmic game theory: Elias Koutsoupias, Dov Monderer and Mihalis Yannakakis. We are very grateful toElias, DovandMihalisforjoiningusinPaphosandfortheirexcellentlectures.

Автор: Ulrich Faigle; W. Kern; G. Still
Название: Algorithmic Principles of Mathematical Programming
ISBN: 9048161177 ISBN-13(EAN): 9789048161171
Издательство: Springer
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Описание: Algorithmic Principles of Mathematical Programming investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Recent advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. This book offers a comprehensive introduction to the whole subject and leads the reader to the frontiers of current research. The prerequisites to use the book are very elementary. All the tools from numerical linear algebra and calculus are fully reviewed and developed. Rather than attempting to be encyclopedic, the book illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature.
The book is equally suited for self-study for a motivated beginner and for a comprehensive course on the principles of mathematical programming within an applied mathematics or computer science curriculum at advanced undergraduate or graduate level. The presentation of the material is such that smaller modules on discrete optimization, linear programming, and nonlinear optimization can easily be extracted separately and used for shorter specialized courses on these subjects.

Автор: Shaun Forth; Paul Hovland; Eric Phipps; Jean Utke;
Название: Recent Advances in Algorithmic Differentiation
ISBN: 3642439918 ISBN-13(EAN): 9783642439919
Издательство: Springer
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Описание: The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD theory and its implementation in tools.