Linear Optimization Problems with Inexact Data

Author:   Miroslav Fiedler ,  Josef Nedoma ,  Jaroslav Ramik
Publisher:   Springer
ISBN:  

9780387512471


Pages:   232
Publication Date:   30 August 2008
Format:   Undefined
Availability:   Out of stock   Availability explained


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Linear Optimization Problems with Inexact Data


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Overview

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.

Full Product Details

Author:   Miroslav Fiedler ,  Josef Nedoma ,  Jaroslav Ramik
Publisher:   Springer
Imprint:   Springer
Dimensions:   Width: 23.40cm , Height: 1.20cm , Length: 15.60cm
Weight:   0.331kg
ISBN:  

9780387512471


ISBN 10:   0387512470
Pages:   232
Publication Date:   30 August 2008
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Unknown
Availability:   Out of stock   Availability explained

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<p>From the reviews: <p><p> 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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