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A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach (Applied Optimization)
Published by Kluwer Academic Publishers, 2000
ISBN 10: 0792363590 ISBN 13: 9780792363590
Language: English
Hardcover. Condition: New. Usually Dispatched within 1-2 Business Days , Buy with confidence , excellent customer service.
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A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach (Applied Optimization, 41)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Set of Examples of Global and Discrete Optimization : Applications of Bayesian Heuristic Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach (Applied Optimization)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Set of Examples of Global and Discrete Optimization : Applications of Bayesian Heuristic Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New. pp. 340.
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Condition: New. pp. 340.
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Taschenbuch. Condition: Neu. A Set of Examples of Global and Discrete Optimization | Applications of Bayesian Heuristic Approach | Jonas Mockus | Taschenbuch | xiv | Englisch | 2013 | Springer | EAN 9781461371144 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Gebunden. Condition: New.
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A Set of Examples of Global and Discrete Optimization : Applications of Bayesian Heuristic Approach
Published by Springer US, Springer US, 2013
ISBN 10: 1461371147 ISBN 13: 9781461371144
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book shows how the Bayesian Approach (BA) improves well known heuristics by randomizing and optimizing their parameters. That is the Bayesian Heuristic Approach (BHA). The ten in-depth examples are designed to teach Operations Research using Internet. Each example is a simple representation of some impor tant family of real-life problems. The accompanying software can be run by remote Internet users. The supporting web-sites include software for Java, C++, and other lan guages. A theoretical setting is described in which one can discuss a Bayesian adaptive choice of heuristics for discrete and global optimization prob lems. The techniques are evaluated in the spirit of the average rather than the worst case analysis. In this context, 'heuristics' are understood to be an expert opinion defining how to solve a family of problems of dis crete or global optimization. The term 'Bayesian Heuristic Approach' means that one defines a set of heuristics and fixes some prior distribu tion on the results obtained. By applying BHA one is looking for the heuristic that reduces the average deviation from the global optimum. The theoretical discussions serve as an introduction to examples that are the main part of the book. All the examples are interconnected. Dif ferent examples illustrate different points of the general subject. How ever, one can consider each example separately, too.
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Paperback. Condition: Brand New. reprint edition. 336 pages. 9.25x6.10x0.77 inches. In Stock.
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A Set of Examples of Global and Discrete Optimization : Applications of Bayesian Heuristic Approach
Published by Springer Us Jul 2000, 2000
ISBN 10: 0792363590 ISBN 13: 9780792363590
Language: English
Buch. Condition: Neu. Neuware - This book shows how the Bayesian Approach (BA) improves well known heuristics by randomizing and optimizing their parameters. That is the Bayesian Heuristic Approach (BHA). The ten in-depth examples are designed to teach Operations Research using Internet. Each example is a simple representation of some impor tant family of real-life problems. The accompanying software can be run by remote Internet users. The supporting web-sites include software for Java, C++, and other lan guages. A theoretical setting is described in which one can discuss a Bayesian adaptive choice of heuristics for discrete and global optimization prob lems. The techniques are evaluated in the spirit of the average rather than the worst case analysis. In this context, 'heuristics' are understood to be an expert opinion defining how to solve a family of problems of dis crete or global optimization. The term 'Bayesian Heuristic Approach' means that one defines a set of heuristics and fixes some prior distribu tion on the results obtained. By applying BHA one is looking for the heuristic that reduces the average deviation from the global optimum. The theoretical discussions serve as an introduction to examples that are the main part of the book. All the examples are interconnected. Dif ferent examples illustrate different points of the general subject. How ever, one can consider each example separately, too.
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A Set of Examples of Global and Discrete Optimization
Published by Springer US Nov 2013, 2013
ISBN 10: 1461371147 ISBN 13: 9781461371144
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book shows how the Bayesian Approach (BA) improves well known heuristics by randomizing and optimizing their parameters. That is the Bayesian Heuristic Approach (BHA). The ten in-depth examples are designed to teach Operations Research using Internet. Each example is a simple representation of some impor tant family of real-life problems. The accompanying software can be run by remote Internet users. The supporting web-sites include software for Java, C++, and other lan guages. A theoretical setting is described in which one can discuss a Bayesian adaptive choice of heuristics for discrete and global optimization prob lems. The techniques are evaluated in the spirit of the average rather than the worst case analysis. In this context, 'heuristics' are understood to be an expert opinion defining how to solve a family of problems of dis crete or global optimization. The term 'Bayesian Heuristic Approach' means that one defines a set of heuristics and fixes some prior distribu tion on the results obtained. By applying BHA one is looking for the heuristic that reduces the average deviation from the global optimum. The theoretical discussions serve as an introduction to examples that are the main part of the book. All the examples are interconnected. Dif ferent examples illustrate different points of the general subject. How ever, one can consider each example separately, too. 340 pp. Englisch.
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A Set of Examples of Global and Discrete Optimization
Published by Springer US, Springer US Nov 2013, 2013
ISBN 10: 1461371147 ISBN 13: 9781461371144
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book shows how the Bayesian Approach (BA) improves well known heuristics by randomizing and optimizing their parameters. That is the Bayesian Heuristic Approach (BHA). The ten in-depth examples are designed to teach Operations Research using Internet. Each example is a simple representation of some impor tant family of real-life problems. The accompanying software can be run by remote Internet users. The supporting web-sites include software for Java, C++, and other lan guages. A theoretical setting is described in which one can discuss a Bayesian adaptive choice of heuristics for discrete and global optimization prob lems. The techniques are evaluated in the spirit of the average rather than the worst case analysis. In this context, 'heuristics' are understood to be an expert opinion defining how to solve a family of problems of dis crete or global optimization. The term 'Bayesian Heuristic Approach' means that one defines a set of heuristics and fixes some prior distribu tion on the results obtained. By applying BHA one is looking for the heuristic that reduces the average deviation from the global optimum. The theoretical discussions serve as an introduction to examples that are the main part of the book. All the examples are interconnected. Dif ferent examples illustrate different points of the general subject. How ever, one can consider each example separately, too.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.
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Condition: New. Print on Demand pp. 340 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Condition: New. Print on Demand pp. 340 Illus.
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Condition: New. PRINT ON DEMAND pp. 340.
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Condition: New. PRINT ON DEMAND pp. 340.
