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Global Optimization with Non-Convex Constraints: Sequential and Parallel Algorithms - Nonconvex Optimization and Its Applications Roman G. Strongin 2000 edition
Global Optimization with Non-Convex Constraints: Sequential and Parallel Algorithms - Nonconvex Optimization and Its Applications
Roman G. Strongin
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.
704 pages, 1 black & white illustrations, biography
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