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Introduction to global optimization exploiting space-filling curves

Autor: Yaroslav D Sergeyev; R G Strongin; Daniela Lera
Editorial: New York ; Heidelberg : Springer, [Place of publication not identified] : Springer-Verlag New York, ©2013. 2013.
Serie: SpringerBriefs in optimization.
Edición/Formato:   Libro-e : Documento : Inglés (eng)Ver todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:
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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Género/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 en Internet
Tipo de documento: Recurso en Internet, Archivo de computadora
Todos autores / colaboradores: Yaroslav D Sergeyev; R G Strongin; Daniela Lera
ISBN: 9781461480426 1461480426
Número OCLC: 857280006
Descripción: 1 online resource.
Contenido: 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 de la serie: SpringerBriefs in optimization.
Responsabilidad: Roman G. Strongin, Yaroslav D. Sergeyev, Daniela Lera.
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Resumen:

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. ... Leer más

 
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