Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms - Hardback - 2000
Roman G. Strongin, Yaroslav D. Sergeyev
Resumo
Problem dimensionality is reduced through space-filling curves. This book presents an approach to global non-convex constrained optimization. It is intended for researchers and students working in optimization, applied mathematics, and computer science.
Year of publication: 2000
Pagination: 704 pages, 1 black & white illustrations, biography
Format: Hardback
Serie: Nonconvex Optimization and Its Applications
Year of publication: 2000
Pagination: 704 pages, 1 black & white illustrations, biography
Format: Hardback
Serie: Nonconvex Optimization and Its Applications
Global Optimization with Non-Convex Constraints -...
Resumo
Problem dimensionality is reduced through space-filling curves. This book presents an approach to global non-convex constrained optimization. It is intended for researchers and students working in optimization, applied mathematics, and computer science.
Year of publication: 2000
Pagination: 704 pages, 1 black & white illustrations, biography
Format: Hardback
Serie: Nonconvex Optimization and Its Applications
Year of publication: 2000
Pagination: 704 pages, 1 black & white illustrations, biography
Format: Hardback
Serie: Nonconvex Optimization and Its Applications
Publicidade
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Características
- Editora
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Kluwer Academic Publishers
- Dimensão
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235 x 155 x 39
- Peso
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2630
- Tema
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Optimization|Applied mathematics
- Origem
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United States
- EAN
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9780792364900
Publicidade
Publicidade