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Vector Optimization Set-valued and Variational Analysis /

Vector optimization model has found many important applications in decision making problems such as those in economics theory, management science, and engineering design (since the introduction of the Pareto optimal solu­ tion in 1896). Typical examples of vector optimization model include maxi­ miz...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Chen, Guang-ya (Autor), Huang, Xuexiang (Autor), Yang, Xiaogi (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Lecture Notes in Economics and Mathematical Systems, 541
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Chen, Guang-ya.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Vector Optimization  |h [electronic resource] :  |b Set-valued and Variational Analysis /  |c by Guang-ya Chen, Xuexiang Huang, Xiaogi Yang. 
250 |a 1st ed. 2005. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2005. 
300 |a X, 308 p.  |b online resource. 
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490 1 |a Lecture Notes in Economics and Mathematical Systems,  |x 2196-9957 ;  |v 541 
505 0 |a and Mathematical Preliminaries -- Vector Optimization Problems -- Vector Variational Inequalities -- Vector Variational Principles -- Vector Minimax Inequalities -- Vector Network Equilibrium Problems. 
520 |a Vector optimization model has found many important applications in decision making problems such as those in economics theory, management science, and engineering design (since the introduction of the Pareto optimal solu­ tion in 1896). Typical examples of vector optimization model include maxi­ mization/minimization of the objective pairs (time, cost), (benefit, cost), and (mean, variance) etc. Many practical equilibrium problems can be formulated as variational in­ equality problems, rather than optimization problems, unless further assump­ tions are imposed. The vector variational inequality was introduced by Gi- nessi (1980). Extensive research on its relations with vector optimization, the existence of a solution and duality theory has been pursued. The fundamental idea of the Ekeland's variational principle is to assign an optimization problem a slightly perturbed one having a unique solution which is at the same time an approximate solution of the original problem. This principle has been an important tool for nonlinear analysis and optimization theory. Along with the development of vector optimization and set-valued optimization, the vector variational principle introduced by Nemeth (1980) has been an interesting topic in the last decade. Fan Ky's minimax theorems and minimax inequalities for real-valued func­ tions have played a key role in optimization theory, game theory and math­ ematical economics. An extension was proposed to vector payoffs was intro­ duced by Blackwell (1955). 
650 0 |a Economics. 
650 0 |a Mathematical optimization. 
650 0 |a Mathematics. 
650 0 |a Operations research. 
650 0 |a Calculus of variations. 
650 0 |a Mathematical analysis. 
650 1 4 |a Economics. 
650 2 4 |a Optimization. 
650 2 4 |a Mathematics. 
650 2 4 |a Operations Research and Decision Theory. 
650 2 4 |a Calculus of Variations and Optimization. 
650 2 4 |a Analysis. 
700 1 |a Huang, Xuexiang.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Yang, Xiaogi.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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