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Modeling, Computation And Optimization
This volume provides recent developments and a state-of-the-art review in various areas of mathematical modeling, computation and optimization. It contains theory, computation as well as the applications of several mathematical models to problems in statistics, games, optimization and economics for decision making. It focuses on exciting areas like models for wireless networks, models of Nash networks, dynamic models of advertising, application of reliability models in economics, support vector machines, optimization, complementarity modeling and games.
Advances in Mathematical Economics Volume 11
Published once a year under the auspices of the Research Center of Mathematical Economics in Tokyo, this series brings together mathematicians interested in economic theories and economists seeking effective mathematical tools to aid their research. Articles set forth original results and detailed overviews of the problems under discussion, offering readers a clear understanding of both economic and mathematical theories.
Foundations in Microeconomic Theory
This volume collects papers from Hugo Sonnenschein's students. It aims to demonstrate his tremendous impact as an advisor. The papers span decades and present some of the most important articles in microeconomic theory. Each paper is accompanied with a preface by the student providing background on the paper and indicating Hugo's influence on its genesis. The papers all lie in microeconomic theory, and moreover all make fundamental contributions to the foundations of the theory.
General Equilibrium and Game Theory
Andreu Mas-Colell revolutionized our understanding of competitive markets, price formation, and the behavior of market participants. This volume presents the papers that solidified his standing as one of the preeminent economic theorists of our time. It also is invaluable for anyone wishing to study the craft of a master of economic modeling.
Discrete Convex Analysis
Discrete Convex Analysis is a novel paradigm for discrete optimization that combines the ideas in continuous optimization (convex analysis) and combinatorial optimization (matroid/submodular function theory) to establish a unified theoretical framework for nonlinear discrete optimization. The study of this theory is expanding with the development of efficient algorithms and applications to a number of diverse disciplines like matrix theory, operations research, and economics. This self-contained book is designed to provide a novel insight into optimization on discrete structures and should reveal unexpected links among different disciplines. It is the first and only English-language monograph on the theory and applications of discrete convex analysis. Discrete Convex Analysis provides the information that professionals in optimization will need to "catch up" with this new theoretical development. It also presents an unexpected connection between matroid theory and mathematical economics and expounds a deeper connection between matrices and matroids than most standard textbooks.
