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Bücher Englische Bücher Linear Optimization Problems with Inexact Data
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Linear Optimization Problems with Inexact Data
Miroslav Fiedler, Josef Nedoma, Jaroslav Ramik, Jiri Rohn, Karel Zimmermann (Gebundene Ausgabe, Englisch)
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Beschreibung
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. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
20.04.2006
Sprache
Englisch
EAN
9780387326979
Herausgeber
Springer US
Sonderedition
Nein
Autor
Miroslav Fiedler, Josef Nedoma, Jaroslav Ramik, Jiri Rohn, Karel Zimmermann
Seitenanzahl
214
Auflage
1
Einbandart
Gebundene Ausgabe
Schlagwörter
Operations Research, Optimization Theory, Systems of interval linear equations, Systems of interval linear inequalities, Weak and strong feasability, Weak and strong solvability, linear algebra, linear optimization, modeling, optimization, sets, matrix theory
Thema-Inhalt
PBU - Optimierung
PBF - Algebra
PBUD - Spieltheorie
KJT - Unternehmensforschung
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer Nature Customer Service Center GmbH, ProductSafety@springernature.com
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