Edité par Berlin : Springer, 2006
Langue: anglais
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Ajouter au panierHardcover. Etat : Wie neu. 1st ed. XVI, 214 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 685.
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Ajouter au panierEtat : 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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Ajouter au panierTaschenbuch. Etat : 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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Ajouter au panierGebunden. Etat : 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.
Edité par Springer-Verlag New York Inc., 2010
ISBN 10 : 1441940944 ISBN 13 : 9781441940940
Langue: anglais
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Ajouter au panierEtat : New. 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. . . . .
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Edité par Springer-Verlag New York Inc., 2006
ISBN 10 : 0387326979 ISBN 13 : 9780387326979
Langue: anglais
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Ajouter au panierEtat : New. 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. This title focuses on the inexactness of the data used to create the models. Num Pages: 214 pages, 5 black & white illustrations, biography. BIC Classification: PBUH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 504. . 2006. Hardback. . . . .
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Ajouter au panierHardback or Cased Book. Etat : New. Linear Optimization Problems with Inexact Data. Book.
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Ajouter au panierBuch. Etat : 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.
Edité par Springer-Verlag New York Inc., 2010
ISBN 10 : 1441940944 ISBN 13 : 9781441940940
Langue: anglais
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Ajouter au panierEtat : New. 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. . . . . Books ship from the US and Ireland.
Edité par Springer-Verlag New York Inc., 2006
ISBN 10 : 0387326979 ISBN 13 : 9780387326979
Langue: anglais
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Ajouter au panierEtat : New. 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. This title focuses on the inexactness of the data used to create the models. Num Pages: 214 pages, 5 black & white illustrations, biography. BIC Classification: PBUH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 504. . 2006. Hardback. . . . . Books ship from the US and Ireland.
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Edité par Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10 : 1441940944 ISBN 13 : 9781441940940
Langue: anglais
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Ajouter au panierPaperback. 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.
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Edité par Springer-Verlag New York Inc., New York, NY, 2006
ISBN 10 : 0387326979 ISBN 13 : 9780387326979
Langue: anglais
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Ajouter au panierHardcover. Etat : new. Hardcover. 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 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. This title focuses on the inexactness of the data used to create the models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.