Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Nonconvex Optimization and its Applications Volume 45) (Nonconvex Optimization and Its Applications)

global optimization with non-convex constraints - sequential and parallel algorithms (nonconvex optimization and its applications volume 45) (nonconvex optimization and its applications)

more information about Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Nonconvex Optimization and its Applications Volume 45) (Nonconvex Optimization and Its Applications)

Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Nonconvex Optimization and its Applications Volume 45) (Nonconvex Optimization and Its Applications)

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Book Description
This book presents a new approach to global non-convex constrained optimization. Problem dimensionality is reduced via space-filling curves. 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. Audience: Researchers and students working in optimization, applied mathematics, and computer science.

Book Info
A text presenting a new approach to non-convex constrained optimization, with the search restraint counted separately in the text, and the problem dimensionality is reduced using space filling curves. Techniques are generalized for execution on multiprocessor systems.

Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Nonconvex Optimization and its Applications Volume 45) (Nonconvex Optimization and Its Applications),R.G. Strongin,Y.D. Sergeyev,Springer,0792364902,Applied,Data Processing - Parallel Processing,Game Theory,General,Linear Programming,Mathematical optimization,Mathematics,Nonconvex programming,Nonlinear Programming,Optimization (Mathematical Theory),Programming - General,Science/Mathematics,Applied mathematics,Computer Programming,Mathematics / Linear Programming,Optimization

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Books Info

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