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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
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£ 137.84
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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
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£ 137.84
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Set of Examples of Global and Discrete Optimization : Applications of Bayesian Heuristic Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 137.83
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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
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£ 152.38
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Condition: New. pp. 340.
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Condition: New. pp. 340.
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Set of Examples of Global and Discrete Optimization
Language: English
Published by Kluwer Academic Publishers, 2000
ISBN 10: 0792363590 ISBN 13: 9780792363590
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. This text shows how to improve well-known heuristics by randomizing and optimizing their parameters. The ten in-depth examples are designed to teach operations research and the theory of games and markets using the Internet. Series: Applied Optimization. Num Pages: 336 pages, biography. BIC Classification: GPFC; PBV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 20. Weight in Grams: 653. . 2000. Hardback. . . . .
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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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Set of Examples of Global and Discrete Optimization
Language: English
Published by Kluwer Academic Publishers, 2000
ISBN 10: 0792363590 ISBN 13: 9780792363590
Condition: New. This text shows how to improve well-known heuristics by randomizing and optimizing their parameters. The ten in-depth examples are designed to teach operations research and the theory of games and markets using the Internet. Series: Applied Optimization. Num Pages: 336 pages, biography. BIC Classification: GPFC; PBV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 20. Weight in Grams: 653. . 2000. Hardback. . . . . Books ship from the US and Ireland.
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Condition: new. Questo è un articolo print on demand.
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A Set of Examples of Global and Discrete Optimization
Language: English
Published by Springer US Nov 2013, 2013
ISBN 10: 1461371147 ISBN 13: 9781461371144
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
Language: English
Published by Springer, Springer Nov 2013, 2013
ISBN 10: 1461371147 ISBN 13: 9781461371144
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 KG, Sachsenplatz 4-6, 1201 Wien 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.
