Electronic Resource

Introduction to global optimization exploiting space filling curves

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Introduction to Global Optimization Exploiting Space-Filling Curves provides an overview of classical and new results pertaining to the usage of space-filling curves in global optimization. The authors look at a family of derivative-free numerical algorithms applying space-filling curves to reduce the dimensionality of the global optimization problem; along with a number of unconventional ideas, such as adaptive strategies for estimating Lipschitz constant, balancing global and local information to accelerate the search. Convergence conditions of the described algorithms are studied in depth and theoretical considerations are illustrated through numerical examples. This work also contains a code for implementing space-filling curves that can be used for constructing new global optimization algorithms. Basic ideas from this text can be applied to a number of problems including problems with multiextremal and partially defined constraints and non-redundant parallel computations can be organized. Professors, students, researchers, engineers, and other professionals in the fields of pure mathematics, nonlinear sciences studying fractals, operations research, management science, industrial and applied mathematics, computer science, engineering, economics, and the environmental sciences will find this title useful . ​

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Ketersediaan

Informasi Detail

Judul Seri

Springer briefs in optimization

No. Panggil

E623

Penerbit

New York : Springer., 2013

Deskripsi Fisik

x, 125 hlm.

Bahasa

English

ISBN/ISSN

9781461480426

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

1

Subjek

Matematika Terapan
Teori Optimasi

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Yaroslav D. Sergeyev, Roman G. Strongin, Daniela Lera

Versi lain/terkait

Lampiran Berkas

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