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Linear Optimization Problems Inexact by Fiedler Miroslav (28 results)
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Condition: New. pp. 232.
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Condition: New. pp. 232 5 Illus.
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Condition: New. pp. 232.
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Linear Optimization Problems with Inexact Data
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Like New. Used - Like New. Book is new and unread but may have minor shelf wear. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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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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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Condition: New.
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Condition: New.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Linear Optimization Problems with Inexact Data
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Linear Optimization Problems with Inexact Data.
Published by Berlin : Springer, 2006
Language: English
Seller: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germany
Association Member: GIAQ
Seller rating 5 out of 5 stars
First Edition
Hardcover. Condition: Wie neu. 1st ed. XVI, 214 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 685.
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Hardback or Cased Book. Condition: New. Linear Optimization Problems with Inexact Data. Book.
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Linear Optimization Problems With Inexact Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Linear Optimization Problems with Inexact Data
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Gebunden. Condition: New. Presents a unified approach to solving linear programming problems with inexact dataPresents a unified approach to solving linear programming problems with inexact dataIncludes supplementary material: sn.pub/extrasLinear programming.
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Paperback. Condition: New.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Linear programming attracted the interest of mathematicians during and after World War II when the first computers were constructed and methods for solving large linear programming problems were sought in connection with specific practical problems-for example, providing logistical support for the U.S. Armed Forces or modeling national economies. Early attempts to apply linear programming methods to solve practical problems failed to satisfy expectations. There were various reasons for the failure. One of them, which is the central topic of this book, was the inexactness of the data used to create the models. This phenomenon, inherent in most pratical problems, has been dealt with in several ways. At first, linear programming models used 'average' values of inherently vague coefficients, but the optimal solutions of these models were not always optimal for the original problem itself. Later researchers developed the stochastic linear programming approach, but this too has its limitations. Recently, interest has been given to linear programming problems with data given as intervals, convex sets and/or fuzzy sets. The individual results of these studies have been promising, but the literature has not presented a unified theory. Linear Optimization Problems with Inexact Data attempts to present a comprehensive treatment of linear optimization with inexact data, summarizing existing results and presenting new ones within a unifying framework.
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Taschenbuch. Condition: Neu. Linear Optimization Problems with Inexact Data | Miroslav Fiedler (u. a.) | Taschenbuch | xvi | Englisch | 2010 | Springer US | EAN 9781441940940 | 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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Linear Optimization Problems With Inexact Data
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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Paperback. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Linear Optimization Problems with Inexact Data
Published by Springer Us Apr 2006, 2006
ISBN 10: 0387326979 ISBN 13: 9780387326979
Language: English
Buch. Condition: Neu. Neuware - Linear programming attracted the interest of mathematicians during and after World War II when the first computers were constructed and methods for solving large linear programming problems were sought in connection with specific practical problems-for example, providing logistical support for the U.S. Armed Forces or modeling national economies. Early attempts to apply linear programming methods to solve practical problems failed to satisfy expectations. There were various reasons for the failure. One of them, which is the central topic of this book, was the inexactness of the data used to create the models. This phenomenon, inherent in most pratical problems, has been dealt with in several ways. At first, linear programming models used 'average' values of inherently vague coefficients, but the optimal solutions of these models were not always optimal for the original problem itself. Later researchers developed the stochastic linear programming approach, but this too has its limitations. Recently, interest has been given to linear programming problems with data given as intervals, convex sets and/or fuzzy sets. The individual results of these studies have been promising, but the literature has not presented a unified theory. Linear Optimization Problems with Inexact Data attempts to present a comprehensive treatment of linear optimization with inexact data, summarizing existing results and presenting new ones within a unifying framework.
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Linear Optimization Problems with Inexact Data
Published by Springer US Okt 2010, 2010
ISBN 10: 1441940944 ISBN 13: 9781441940940
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 -Linear programming has attracted the interest of mathematicians since World War II when the first computers were constructed. Early attempts to apply linear programming methods practical problems failed, in part because of the inexactness of the data used to create the models. This book presents a comprehensive treatment of linear optimization with inexact data, summarizing existing results and presenting new ones within a unifying framework. 232 pp. Englisch.
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Linear Optimization Problems with Inexact Data
Published by Springer-Verlag New York Inc., 2006
ISBN 10: 0387326979 ISBN 13: 9780387326979
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 534.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a unified approach to solving linear programming problems with inexact dataLinear programming has attracted the interest of mathematicians since World War II when the first computers were constructed. Early attempts to apply linear programmi.
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Linear Optimization Problems with Inexact Data
Published by Springer US, Springer US Okt 2010, 2010
ISBN 10: 1441940944 ISBN 13: 9781441940940
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 -Linear programming attracted the interest of mathematicians during and after World War II when the first computers were constructed and methods for solving large linear programming problems were sought in connection with specific practical problems¿for example, providing logistical support for the U.S. Armed Forces or modeling national economies. Early attempts to apply linear programming methods to solve practical problems failed to satisfy expectations. There were various reasons for the failure. One of them, which is the central topic of this book, was the inexactness of the data used to create the models. This phenomenon, inherent in most pratical problems, has been dealt with in several ways. At first, linear programming models used 'average' values of inherently vague coefficients, but the optimal solutions of these models were not always optimal for the original problem itself. Later researchers developed the stochastic linear programming approach, but this too has its limitations. Recently, interest has been given to linear programming problems with data given as intervals, convex sets and/or fuzzy sets. The individual results of these studies have been promising, but the literature has not presented a unified theory. Linear Optimization Problems with Inexact Data attempts to present a comprehensive treatment of linear optimization with inexact data, summarizing existing results and presenting new ones within a unifying framework.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.
