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＜電子ブック＞
Complementarity, Equilibrium, Efficiency and Economics / by G. Isac, V.A. Bulavsky, Vyacheslav V. Kalashnikov
(Nonconvex Optimization and Its Applications ; 63)

版	1st ed. 2002.
出版者	(New York, NY : Springer US : Imprint: Springer)
出版年	2002
本文言語	英語
大きさ	XVII, 449 p : online resource
著者標目	*Isac, G author Bulavsky, V.A author Kalashnikov, Vyacheslav V author SpringerLink (Online service)
件　名	LCSH:Mathematical models LCSH:Economics LCSH:Mathematical optimization LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Game theory FREE:Mathematical Modeling and Industrial Mathematics FREE:Economics FREE:Optimization FREE:Computational Mathematics and Numerical Analysis FREE:Game Theory
一般注記	1 Introduction -- 2 Optimization Models -- 3 General Economic Equilibrium -- 4 Models of Oligopoly -- 5 Oligopoly with Leaders -- 6 Complementarity Problems with Respect to General Cones -- 7 Pseudomonotone and Implicit Complementarity Problems -- 8 Complementarity Pivot Methods -- 9 Scarf Type Algorithms -- 10 Newton-Like Methods -- 11 Parametrization and Reduction to Nonlinear Equations -- 12 Efficiency -- 13 Approximative Efficiency In complementarity theory, which is a relatively new domain of applied mathematics, several kinds of mathematical models and problems related to the study of equilibrium are considered from the point of view of physics as well as economics. In this book the authors have combined complementarity theory, equilibrium of economical systems, and efficiency in Pareto's sense. The authors discuss the use of complementarity theory in the study of equilibrium of economic systems and present results they have obtained. In addition the authors present several new results in complementarity theory and several numerical methods for solving complementarity problems associated with the study of economic equilibrium. The most important notions of Pareto efficiency are also presented. Audience: Researchers and graduate students interested in complementarity theory, in economics, in optimization, and in applied mathematics HTTP:URL=https://doi.org/10.1007/978-1-4757-3623-6

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