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Item Details
| Title:
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MINIMAX UNDER TRANSPORTATION CONSTRAINS
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| By: |
Vladimir Tsurkov, A. Mironov |
| Format: |
Hardback |
| List price:
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£119.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
0792356098 |
| ISBN 13: |
9780792356097 |
| Publisher: |
SPRINGER |
| Edition: |
1999 ed. |
| Series: |
Applied Optimization 27 |
| Pages: |
310 |
| Description: |
A monograph that deals with the transportation problems with minimax criteria. It develops an algorithm for finding the minimax and the corresponding matrix. It presents an extension to integer matrices. It considers alternative minimax criteria. It is of interest to specialists in operations research, optimization, and transportation problems. |
| Synopsis: |
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. |
| Illustrations: |
X, 310 p. |
| Publication: |
Netherlands |
| Imprint: |
Springer |
| Returns: |
Returnable |
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