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Introduction to global optimization exploiting space-filling curves

Autor: Yaroslav D Sergeyev; R G Strongin; Daniela Lera
Editora: New York ; Heidelberg : Springer, [Place of publication not identified] : Springer-Verlag New York, ©2013. 2013.
Séries: SpringerBriefs in optimization.
Edição/Formato   e-book : Documento : InglêsVer todas as edições e formatos
Base de Dados:WorldCat
Resumo:
Presents both stochastic and deterministic methods for solving a practical problem in the field of space-filling curves. Contains a code for implementing space-filling curves that can be used in global optimization algorithms.
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Gênero/Forma: Electronic books
Formato Físico Adicional: Print version:
Sergeyev, Yaroslav D.
Introduction to global optimization exploiting space-filling curves.
[S.l.] : Springer-Verlag New York, 2013
(OCoLC)843532396
Tipo de Material: Documento, Recurso Internet
Tipo de Documento: Recurso Internet, Arquivo de Computador
Todos os Autores / Contribuintes: Yaroslav D Sergeyev; R G Strongin; Daniela Lera
ISBN: 9781461480426 1461480426
Número OCLC: 857280006
Descrição: 1 online resource.
Conteúdos: Introduction --
Approximations to Peano Curves: Algorithms and Software --
Global Optimization Algorithms Using Curves to Reduce Dimensionality of the Problem --
Ideas for Acceleration --
A Brief Conclusion.
Título da Série: SpringerBriefs in optimization.
Responsabilidade: Roman G. Strongin, Yaroslav D. Sergeyev, Daniela Lera.

Resumo:

Presents both stochastic and deterministic methods for solving a practical problem in the field of space-filling curves. Contains a code for implementing space-filling curves that can be used in global optimization algorithms.

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From the book reviews: "The book gives an introduction to the subject and describes a number of non-trivial algorithms combining sophisticated ideas of pure mathematics with numerical methods. ... Ler mais...

 
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