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Author: Sylvain Sorin
Publisher: Springer Science & Business Media
Published: 2002-03-07
Total Pages: 228
ISBN-13: 9783540430285
DOWNLOAD EBOOKThis volume aims to present the basic results in the theory of two-person zero-sum repeated games including stochastic games and repeated games with incomplete information. It is intended for graduate students with no previous knowledge of the field.
Author: Alain Haurie
Publisher: Springer Science & Business Media
Published: 2007-04-03
Total Pages: 421
ISBN-13: 0817645012
DOWNLOAD EBOOKThis book, an outgrowth of the 10th International Symposium on Dynamic Games, presents current developments of the theory of dynamic games and its applications. The text uses dynamic game models to approach and solve problems pertaining to pursuit-evasion, marketing, finance, climate and environmental economics, resource exploitation, as well as auditing and tax evasions. It includes chapters on cooperative games, which are increasingly drawing dynamic approaches to their classical solutions.
Author: Samson Lasaulce
Publisher: Academic Press
Published: 2011-09-19
Total Pages: 346
ISBN-13: 0123846994
DOWNLOAD EBOOKWritten by leading experts in the field, Game Theory and Learning for Wireless Networks Covers how theory can be used to solve prevalent problems in wireless networks such as power control, resource allocation or medium access control. With the emphasis now on promoting 'green' solutions in the wireless field where power consumption is minimized, there is an added focus on developing network solutions that maximizes the use of the spectrum available. With the growth of distributed wireless networks such as Wi-Fi and the Internet; the push to develop ad hoc and cognitive networks has led to a considerable interest in applying game theory to wireless communication systems. Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students. Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at Supélec, Gif-sur-Yvette, France. He is also a part-time professor in the Department of Physics at École Polytechnique, Palaiseau, France. Hamidou Tembine is a professor in the Department of Telecommunications at Supélec, Gif-sur-Yvette, France. Merouane Debbah is a professor at Supélec, Gif-sur-Yvette, France. He is the holder of the Alcatel-Lucent chair in flexible radio since 2007. - The first tutorial style book that gives all the relevant theory, at the right level of rigour, for the wireless communications engineer - Bridges the gap between theory and practice by giving examples and case studies showing how game theory can solve real world resource allocation problems - Contains algorithms and techniques to implement game theory in wireless terminals
Author: Jean-François Mertens
Publisher: Cambridge University Press
Published: 2015-02-09
Total Pages: 597
ISBN-13: 110703020X
DOWNLOAD EBOOKThis landmark work significantly advances the literature on game theory with a masterful conceptual presentation of the CORE working papers published in 1994.
Author: Xujin Chen
Publisher: Springer Nature
Published: 2020-12-05
Total Pages: 476
ISBN-13: 3030649466
DOWNLOAD EBOOKThis book constitutes the proceedings of the 16th International Conference on Web and Internet Economics, WINE 2020, held in Beijing, China, in December 2020. The 31 full papers presented together with 11 abstracts were carefully reviewed and selected from 136 submissions. The issues in theoretical computer science, artificial intelligence, operations research are of particular importance in the Web and the Internet that enable the interaction of large and diverse populations. The Conference on Web and Internet Economics (WINE) is an interdisciplinary forum for the exchange of ideas and results on incentives and computation arising from these various fields.
Author: Nicolo Cesa-Bianchi
Publisher: Cambridge University Press
Published: 2006-03-13
Total Pages: 4
ISBN-13: 113945482X
DOWNLOAD EBOOKThis important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections.
Author: Stef Tijs
Publisher: Springer
Published: 2003-01-01
Total Pages: 187
ISBN-13: 9386279177
DOWNLOAD EBOOKAuthor: Jacques Istas
Publisher: Springer Science & Business Media
Published: 2005-10-04
Total Pages: 170
ISBN-13: 354027877X
DOWNLOAD EBOOKProvides a wide range of mathematical models currently used in the life sciences Each model is thoroughly explained and illustrated by example Includes three appendices to allow for independent reading
Author: Bas Lemmens
Publisher: Cambridge University Press
Published: 2012-05-03
Total Pages: 337
ISBN-13: 0521898811
DOWNLOAD EBOOKGuides the reader through the nonlinear Perron-Frobenius theory, introducing them to recent developments and challenging open problems.
Author: Habib Ammari
Publisher: Springer Science & Business Media
Published: 2008-05-21
Total Pages: 198
ISBN-13: 3540795537
DOWNLOAD EBOOKBiomedical imaging is a fascinating research area to applied mathematicians. Challenging imaging problems arise and they often trigger the investigation of fundamental problems in various branches of mathematics. This is the first book to highlight the most recent mathematical developments in emerging biomedical imaging techniques. The main focus is on emerging multi-physics and multi-scales imaging approaches. For such promising techniques, it provides the basic mathematical concepts and tools for image reconstruction. Further improvements in these exciting imaging techniques require continued research in the mathematical sciences, a field that has contributed greatly to biomedical imaging and will continue to do so. The volume is suitable for a graduate-level course in applied mathematics and helps prepare the reader for a deeper understanding of research areas in biomedical imaging.
