Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>

Global Optimization with Non-Convex Constraints: Sequential and Parallel Algorithms

-15% su kodu: ENG15
215,97 
Įprasta kaina: 254,08 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
215,97 
Įprasta kaina: 254,08 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 254.0800 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

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.

Informacija

Autorius: Yaroslav D. Sergeyev, Roman G. Strongin,
Serija: Nonconvex Optimization and Its Applications
Leidėjas: Springer New York
Išleidimo metai: 2013
Knygos puslapių skaičius: 732
ISBN-10: 1461371171
ISBN-13: 9781461371175
Formatas: 235 x 155 x 40 mm. Knyga minkštu viršeliu
Kalba: Anglų

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Global Optimization with Non-Convex Constraints: Sequential and Parallel Algorithms“

Būtina įvertinti prekę

Goodreads reviews for „Global Optimization with Non-Convex Constraints: Sequential and Parallel Algorithms“