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Vector optimization: set-valued and variational analysis
This book is devoted to vector or multiple criteria approaches in optimization. Topics covered include: vector optimization, vector variational inequalities, vector variational principles, vector minmax inequalities and vector equilibrium problems. In particular, problems with variable ordering rela...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2005
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2269114 |
_version_ | 1780954698479566848 |
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author | Chen, Guang-ya Huang, Xuexiang Yang, Xiaogi |
author_facet | Chen, Guang-ya Huang, Xuexiang Yang, Xiaogi |
author_sort | Chen, Guang-ya |
collection | CERN |
description | This book is devoted to vector or multiple criteria approaches in optimization. Topics covered include: vector optimization, vector variational inequalities, vector variational principles, vector minmax inequalities and vector equilibrium problems. In particular, problems with variable ordering relations and set-valued mappings are treated. The nonlinear scalarization method is extensively used throughout the book to deal with various vector-related problems. The results presented are original and should be interesting to researchers and graduates in applied mathematics and operations research |
id | cern-2269114 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2005 |
publisher | Springer |
record_format | invenio |
spelling | cern-22691142021-04-21T19:11:18Zhttp://cds.cern.ch/record/2269114engChen, Guang-yaHuang, XuexiangYang, XiaogiVector optimization: set-valued and variational analysisMathematical Physics and MathematicsThis book is devoted to vector or multiple criteria approaches in optimization. Topics covered include: vector optimization, vector variational inequalities, vector variational principles, vector minmax inequalities and vector equilibrium problems. In particular, problems with variable ordering relations and set-valued mappings are treated. The nonlinear scalarization method is extensively used throughout the book to deal with various vector-related problems. The results presented are original and should be interesting to researchers and graduates in applied mathematics and operations researchSpringeroai:cds.cern.ch:22691142005 |
spellingShingle | Mathematical Physics and Mathematics Chen, Guang-ya Huang, Xuexiang Yang, Xiaogi Vector optimization: set-valued and variational analysis |
title | Vector optimization: set-valued and variational analysis |
title_full | Vector optimization: set-valued and variational analysis |
title_fullStr | Vector optimization: set-valued and variational analysis |
title_full_unstemmed | Vector optimization: set-valued and variational analysis |
title_short | Vector optimization: set-valued and variational analysis |
title_sort | vector optimization: set-valued and variational analysis |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/2269114 |
work_keys_str_mv | AT chenguangya vectoroptimizationsetvaluedandvariationalanalysis AT huangxuexiang vectoroptimizationsetvaluedandvariationalanalysis AT yangxiaogi vectoroptimizationsetvaluedandvariationalanalysis |