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Minimax Under Transportation Constrains (Paperback, Softcover reprint of the original 1st ed. 1999) Loot Price: R2,936
Discovery Miles 29 360
Minimax Under Transportation Constrains (Paperback, Softcover reprint of the original 1st ed. 1999): Vladimir Tsurkov, A....

Minimax Under Transportation Constrains (Paperback, Softcover reprint of the original 1st ed. 1999)

Vladimir Tsurkov, A. Mironov

Series: Applied Optimization, 27

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Loot Price R2,936 Discovery Miles 29 360 | Repayment Terms: R275 pm x 12*

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Transportation problems belong to the domains mathematical program ming and operations research. Transportation models are widely applied in various fields. Numerous concrete problems (for example, assignment and distribution problems, maximum-flow problem, etc. ) are formulated as trans portation problems. Some efficient methods have been developed for solving transportation problems of various types. This monograph is devoted to transportation problems with minimax cri teria. The classical (linear) transportation problem was posed several decades ago. In this problem, supply and demand points are given, and it is required to minimize the transportation cost. This statement paved the way for numerous extensions and generalizations. In contrast to the original statement of the problem, we consider a min imax rather than a minimum criterion. In particular, a matrix with the minimal largest element is sought in the class of nonnegative matrices with given sums of row and column elements. In this case, the idea behind the minimax criterion can be interpreted as follows. Suppose that the shipment time from a supply point to a demand point is proportional to the amount to be shipped. Then, the minimax is the minimal time required to transport the total amount. It is a common situation that the decision maker does not know the tariff coefficients. In other situations, they do not have any meaning at all, and neither do nonlinear tariff objective functions. In such cases, the minimax interpretation leads to an effective solution.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Applied Optimization, 27
Release date: August 2014
First published: 1999
Authors: Vladimir Tsurkov • A. Mironov
Dimensions: 235 x 155 x 17mm (L x W x T)
Format: Paperback
Pages: 310
Edition: Softcover reprint of the original 1st ed. 1999
ISBN-13: 978-1-4613-6818-2
Categories: Books > Science & Mathematics > Mathematics > Combinatorics & graph theory
Books > Science & Mathematics > Mathematics > Algebra > General
Books > Science & Mathematics > Mathematics > Geometry > Algebraic geometry
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
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LSN: 1-4613-6818-9
Barcode: 9781461368182

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