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|a 9780387218144
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|a 10.1007/b97543
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|a Finite-Dimensional Variational Inequalities and Complementarity Problems
|h [electronic resource] /
|c edited by Francisco Facchinei, Jong-Shi Pang.
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|a New York, NY :
|b Springer New York,
|c 2003.
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|a XXXIII, 693 p. 13 illus.
|b online resource.
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|a text
|b txt
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|a Springer Series in Operations Research and Financial Engineering,
|x 1431-8598
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|a Solution Analysis I -- Solution Analysis II -- The Euclidean Projector and Piecewise Functions -- Sensitivity and Stability -- Theory of Error Bounds.
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|a The ?nite-dimensional nonlinear complementarity problem (NCP) is a s- tem of ?nitely many nonlinear inequalities in ?nitely many nonnegative variables along with a special equation that expresses the complementary relationship between the variables and corresponding inequalities. This complementarity condition is the key feature distinguishing the NCP from a general inequality system, lies at the heart of all constrained optimi- tion problems in ?nite dimensions, provides a powerful framework for the modeling of equilibria of many kinds, and exhibits a natural link between smooth and nonsmooth mathematics. The ?nite-dimensional variational inequality (VI), which is a generalization of the NCP, provides a broad unifying setting for the study of optimization and equilibrium problems and serves as the main computational framework for the practical solution of a host of continuum problems in the mathematical sciences. The systematic study of the ?nite-dimensional NCP and VI began in the mid-1960s; in a span of four decades, the subject has developed into a very fruitful discipline in the ?eld of mathematical programming. The - velopments include a rich mathematical theory, a host of e?ective solution algorithms, a multitude of interesting connections to numerous disciplines, and a wide range of important applications in engineering and economics. As a result of their broad associations, the literature of the VI/CP has bene?ted from contributions made by mathematicians (pure, applied, and computational), computer scientists, engineers of many kinds (civil, ch- ical, electrical, mechanical, and systems), and economists of diverse exp- tise (agricultural, computational, energy, ?nancial, and spatial).
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|a Mathematics.
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|a Operations research.
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|a Decision making.
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|a Game theory.
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|a Mathematical models.
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|a Mathematical optimization.
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|a Management science.
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|a Econometrics.
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|a Mathematics.
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|a Mathematical Modeling and Industrial Mathematics.
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|a Operations Research, Management Science.
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|a Operation Research/Decision Theory.
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|a Optimization.
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|a Game Theory, Economics, Social and Behav. Sciences.
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|a Econometrics.
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|a Facchinei, Francisco.
|e editor.
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|a Pang, Jong-Shi.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9780387955803
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|a Springer Series in Operations Research and Financial Engineering,
|x 1431-8598
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|u http://dx.doi.org/10.1007/b97543
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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|a ZDB-2-BAE
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|a Mathematics and Statistics (Springer-11649)
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