Linear Optimization Problems with Inexact Data
Fiedler, Miroslav; Nedoma, Josef; Ramik, Jaroslav; Rohn, Jiri (University Karlovy, Praha, Czech Republic); Zimmermann, Karel
ISBN 10: 1441940944 ISBN 13: 9781441940940
Edité par Springer-Verlag New York Inc., 2010
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Num Pages: 214 pages, 5 black & white illustrations, biography. BIC Classification: PBUH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 12. Weight in Grams: 361. . 2010. 1st ed. Softcover of orig. ed. 2006. Paperback. . . . . N° de réf. du vendeur V9781441940940
Synopsis :
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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Titre : Linear Optimization Problems with Inexact ...
Éditeur : Springer-Verlag New York Inc.
Date d'édition : 2010
Reliure : Couverture souple
Etat : New
Edition : Edition originale
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Linear Optimization Problems with Inexact Data (Paperback)
Edité par
Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10 : 1441940944
ISBN 13 : 9781441940940
Neuf
Paperback
Edition originale
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Paperback. Etat : new. Paperback. 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 problemsfor 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. Linear programming has attracted the interest of mathematicians since World War II when the first computers were constructed. This book presents a comprehensive treatment of linear optimization with inexact data, summarizing existing results and presenting new ones within a unifying framework. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781441940940
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Linear Optimization Problems with Inexact Data (Paperback)
Edité par
Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10 : 1441940944
ISBN 13 : 9781441940940
Neuf
Paperback
Edition originale
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Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. 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 problemsfor 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. Linear programming has attracted the interest of mathematicians since World War II when the first computers were constructed. This book presents a comprehensive treatment of linear optimization with inexact data, summarizing existing results and presenting new ones within a unifying framework. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781441940940
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