Complementarity, Equilibrium, Efficiency and Economics

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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.

Inhalt
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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09781441952233
    • Sprache Englisch
    • Auflage Softcover reprint of hardcover 1st edition 2002
    • Größe H235mm x B155mm x T26mm
    • Jahr 2010
    • EAN 9781441952233
    • Format Kartonierter Einband
    • ISBN 1441952233
    • Veröffentlichung 06.12.2010
    • Titel Complementarity, Equilibrium, Efficiency and Economics
    • Autor G. Isac , Vyacheslav V. Kalashnikov , V. A. Bulavsky
    • Untertitel Nonconvex Optimization and Its Applications 63
    • Gewicht 709g
    • Herausgeber Springer US
    • Anzahl Seiten 472
    • Lesemotiv Verstehen
    • Genre Mathematik

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