Introduction Global Optimization Exploiting by Sergeyev Yaroslav (12 results)
Language: English
Published by Springer-Verlag New York Inc., US, 2013
Series: SpringerBriefs in Optimization, Book 13 of 43. Book 13 of 43 - SpringerBriefs in Optimization
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Introduction to Global Optimization Exploiting Space-Filling Curves (SpringerBriefs in Optimization)
Language: English
Published by Springer, 2013
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Language: English
Published by Springer 2013-08, 2013
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Introduction to Global Optimization Exploiting Space-Filling Curves (SpringerBriefs in Optimization)
Language: English
Published by Springer, 2013
Series: SpringerBriefs in Optimization, Book 13 of 43. Book 13 of 43 - SpringerBriefs in Optimization
- Softcover
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Paperback. Condition: Brand New. 2013 edition. 131 pages. 9.25x6.10x0.32 inches. In Stock.
Language: English
Published by Springer, Springer, 2013
Series: SpringerBriefs in Optimization, Book 13 of 43. Book 13 of 43 - SpringerBriefs in Optimization
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Published by Springer, 2013
Series: SpringerBriefs in Optimization, Book 13 of 43. Book 13 of 43 - SpringerBriefs in Optimization
- Softcover
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Taschenbuch. Condition: Neu. Introduction to Global Optimization Exploiting Space-Filling Curves | Yaroslav D. Sergeyev (u. a.) | Taschenbuch | x | Englisch | 2013 | Springer | EAN 9781461480419 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]co…m | Anbieter: preigu.
Introduction to Global Optimization Exploiting Space-Filling Curves (SpringerBriefs in Optimization)
Language: English
Published by Springer, 2013
Series: SpringerBriefs in Optimization, Book 13 of 43. Book 13 of 43 - SpringerBriefs in Optimization
- Softcover
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Language: English
Published by Springer-Verlag New York Inc., US, 2013
Series: SpringerBriefs in Optimization, Book 13 of 43. Book 13 of 43 - SpringerBriefs in Optimization
- Softcover
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Language: English
Published by Springer New York, 2013
Series: SpringerBriefs in Optimization, Book 13 of 43. Book 13 of 43 - SpringerBriefs in Optimization
- Softcover
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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 . ¿.
Language: English
Published by Springer New York Aug 2013, 2013
Series: SpringerBriefs in Optimization, Book 13 of 43. Book 13 of 43 - SpringerBriefs in Optimization
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 . 136 pp. Englisch.
Language: English
Published by Springer New York, 2013
Series: SpringerBriefs in Optimization, Book 13 of 43. Book 13 of 43 - SpringerBriefs in Optimization
- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents new efficient methods for solving an important practical problem in the field of space-filling curves Starting point for developing new methods Contains a code for implementing space-filling curves that can b…e used in global optim.
Language: English
Published by Springer, Springer Aug 2013, 2013
Series: SpringerBriefs in Optimization, Book 13 of 43. Book 13 of 43 - SpringerBriefs in Optimization
- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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-fre…e 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 . ¿Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.
