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Global Optimization with Non-Convex Constraints on Hardback by Roman G. Strongin
Global Optimization with Non-Convex Constraints on Hardback by Roman G. Strongin
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Global Optimization with Non-Convex Constraints

Sequential and Parallel Algorithms
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Description

Presents a new approach to global non-convex constrained optimization. Problem dimensionality is reduced via space-filling curves and to economize the search, constraint is accounted separately (penalties are not employed). The multicriteria case is also considered. All techniques are generalized for (non-redundant) execution on multiprocessor systems.
Release date Australia
October 31st, 2000
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
Illustrations
1 Illustrations, black and white; XXVIII, 704 p. 1 illus.
Pages
704
Dimensions
155x235x39
ISBN-13
9780792364900
Product ID
3947761

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