Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms - Hardback - 2000

Roman G. Strongin, Yaroslav D. Sergeyev

Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms - Hardback - 2000 - 1
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

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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
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Características

Editora

Kluwer Academic Publishers

Dimensão

235 x 155 x 39

Peso

2630

Tema

Optimization|Applied mathematics

Origem

United States

EAN

9780792364900

Publicidade
Publicidade