Linear Optimization Problems with Inexact Data
(Sprache: Englisch)
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...
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Klappentext zu „Linear Optimization Problems with Inexact Data “
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.
Inhaltsverzeichnis zu „Linear Optimization Problems with Inexact Data “
Matrices.- Solvability of systems of interval linear equations and inequalities.- Interval linear programming.- Linear programming with set coefficients.- Fuzzy linear optimization.- Interval linear systems and optimization problems over max-algebras.
Bibliographische Angaben
- Autoren: Miroslav Fiedler , Josef Nedoma , Jaroslav Ramik
- 2006, 214 Seiten, Maße: 16,2 x 24,4 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 0387326979
- ISBN-13: 9780387326979
- Erscheinungsdatum: 20.04.2006
Sprache:
Englisch
Rezension zu „Linear Optimization Problems with Inexact Data “
From the reviews:"The authors have recollected here their results that were published in various journals, research reports and proceedings, mainly between 1994 and 2000. ... This research monograph is aimed at the audience interested in optimization, operations research, linear algebra and fuzzy sets." (S. Zlobec, Mathematical Reviews, Issue 2007 b)
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