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Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Paperback, 2000 ed.) Loot Price: R4,476
Discovery Miles 44 760
Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Paperback, 2000 ed.): Roman G. Strongin,...

Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Paperback, 2000 ed.)

Roman G. Strongin, Yaroslav D. Sergeyev

Series: Nonconvex Optimization and Its Applications, 45

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Loot Price R4,476 Discovery Miles 44 760 | Repayment Terms: R419 pm x 12*

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Everything should be made as simple as possible, but not simpler. (Albert Einstein, Readers Digest, 1977) The modern practice of creating technical systems and technological processes of high effi.ciency besides the employment of new principles, new materials, new physical effects and other new solutions ( which is very traditional and plays the key role in the selection of the general structure of the object to be designed) also includes the choice of the best combination for the set of parameters (geometrical sizes, electrical and strength characteristics, etc.) concretizing this general structure, because the Variation of these parameters ( with the structure or linkage being already set defined) can essentially affect the objective performance indexes. The mathematical tools for choosing these best combinations are exactly what is this book about. With the advent of computers and the computer-aided design the pro bations of the selected variants are usually performed not for the real examples ( this may require some very expensive building of sample op tions and of the special installations to test them ), but by the analysis of the corresponding mathematical models. The sophistication of the mathematical models for the objects to be designed, which is the natu ral consequence of the raising complexity of these objects, greatly com plicates the objective performance analysis. Today, the main (and very often the only) available instrument for such an analysis is computer aided simulation of an object's behavior, based on numerical experiments with its mathematical model.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Nonconvex Optimization and Its Applications, 45
Release date: August 2014
First published: 2000
Authors: Roman G. Strongin • Yaroslav D. Sergeyev
Dimensions: 235 x 155 x 37mm (L x W x T)
Format: Paperback
Pages: 704
Edition: 2000 ed.
ISBN-13: 978-1-4613-7117-5
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Computer programming > Software engineering
Books > Computing & IT > Applications of computing > General
Books > Science & Mathematics > Mathematics > Optimization > General
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LSN: 1-4613-7117-1
Barcode: 9781461371175

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