AuthorTsurkov, Vladimir. author
TitleMinimax Under Transportation Constrains [electronic resource] / by Vladimir Tsurkov, Anatoli Mironov
ImprintBoston, MA : Springer US : Imprint: Springer, 1999
Connect tohttp://dx.doi.org/10.1007/978-1-4615-4060-1
Descript X, 310 p. online resource

SUMMARY

Transportation problems belong to the domains mathematical programยญ 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 transยญ portation problems. Some efficient methods have been developed for solving transportation problems of various types. This monograph is devoted to transportation problems with minimax criยญ 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 minยญ 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


SUBJECT

  1. Mathematics
  2. Algebra
  3. Ordered algebraic structures
  4. Information theory
  5. Convex geometry
  6. Discrete geometry
  7. Mathematical optimization
  8. Combinatorics
  9. Mathematics
  10. Optimization
  11. Combinatorics
  12. Convex and Discrete Geometry
  13. Information and Communication
  14. Circuits
  15. Order
  16. Lattices
  17. Ordered Algebraic Structures