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Potential Function Methods Approximately by Bienstock Daniel (32 results)
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Condition: New. pp. 140.
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Condition: New. pp. 140 Illus.
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Condition: New. pp. 140.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Potential Function Methods for Approximately Solving Linear Programming Problems : Theory and Practice
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (International Series in Operations Research & Management Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 125.90
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Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (International Series in Operations Research & Management Science, 53)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 132.33
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Condition: New. pp. 136.
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Potential Function Methods for Approximately Solving Linear Programming Problems
Published by Kluwer Academic Publishers, 2002
ISBN 10: 1402071736 ISBN 13: 9781402071737
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. Focusing on linear programming theory, this book draws on the research developments in three areas: linear and integer programming, numerical analysis, and the computational architectures which enable speedy, high-level algorithm design. Series: International Series in Operations Research & Management Science. Num Pages: 130 pages, biography. BIC Classification: PBUH; TGP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 9. Weight in Grams: 830. . 2002. Hardback. . . . .
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Paperback. Condition: Brand New. 130 pages. 9.25x6.10x0.31 inches. In Stock.
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Taschenbuch. Condition: Neu. Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice | Daniel Bienstock | Taschenbuch | xix | Englisch | 2013 | Springer US | EAN 9781475776720 | 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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Potential Function Methods for Approximately Solving Linear Programming Problems
Published by Kluwer Academic Publishers, 2002
ISBN 10: 1402071736 ISBN 13: 9781402071737
Language: English
Condition: New. Focusing on linear programming theory, this book draws on the research developments in three areas: linear and integer programming, numerical analysis, and the computational architectures which enable speedy, high-level algorithm design. Series: International Series in Operations Research & Management Science. Num Pages: 130 pages, biography. BIC Classification: PBUH; TGP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 9. Weight in Grams: 830. . 2002. Hardback. . . . . Books ship from the US and Ireland.
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Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
Published by Springer US, Springer US, 2013
ISBN 10: 1475776721 ISBN 13: 9781475776720
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical analysis, and the computational architectures which enable speedy, high-level algorithm design. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems. This work both has roots in fundamental areas of mathematical programming and is also framed in the context of the modern theory of algorithms. The result of this work, in which Daniel Bienstock has been very much involved, has been a family of algorithms with solid theoretical foundations and with growing experimental success. This book will examine these algorithms, starting with some of the very earliest examples, and through the latest theoretical and computational developments.
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Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
Published by Springer US, Springer US, 2002
ISBN 10: 1402071736 ISBN 13: 9781402071737
Language: English
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical analysis, and the computational architectures which enable speedy, high-level algorithm design. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems. This work both has roots in fundamental areas of mathematical programming and is also framed in the context of the modern theory of algorithms. The result of this work, in which Daniel Bienstock has been very much involved, has been a family of algorithms with solid theoretical foundations and with growing experimental success. This book will examine these algorithms, starting with some of the very earliest examples, and through the latest theoretical and computational developments.
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Potential Function Methods for Approximately Solving Linear Programming Problems : Theory and Practice
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 241.28
US$ 19.74 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Hardcover. Condition: Like New. Like New. book.
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Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
Published by Springer US Mrz 2013, 2013
ISBN 10: 1475776721 ISBN 13: 9781475776720
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 -Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical analysis, and the computational architectures which enable speedy, high-level algorithm design. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems. This work both has roots in fundamental areas of mathematical programming and is also framed in the context of the modern theory of algorithms. The result of this work, in which Daniel Bienstock has been very much involved, has been a family of algorithms with solid theoretical foundations and with growing experimental success. This book will examine these algorithms, starting with some of the very earliest examples, and through the latest theoretical and computational developments. 136 pp. Englisch.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical ana.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical ana.
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Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
Published by Springer-Verlag New York Inc., 2002
ISBN 10: 1402071736 ISBN 13: 9781402071737
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 156.69
US$ 25.47 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 860.
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Condition: New. Print on Demand pp. 136 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. 136.
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Buch. Condition: Neu. Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice | Daniel Bienstock | Buch | xix | Englisch | 2002 | Springer US | EAN 9781402071737 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
Published by Springer US, Springer New York Aug 2002, 2002
ISBN 10: 1402071736 ISBN 13: 9781402071737
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical analysis, and the computational architectures which enable speedy, high-level algorithm design. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems. This work both has roots in fundamental areas of mathematical programming and is also framed in the context of the modern theory of algorithms. The result of this work, in which Daniel Bienstock has been very much involved, has been a family of algorithms with solid theoretical foundations and with growing experimental success. This book will examine these algorithms, starting with some of the very earliest examples, and through the latest theoretical and computational developments.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 140 pp. Englisch.
