The inverse maximum flow problem under weighted l1 norm

Authors

  • Adrian Deaconu Transilvania University of Brasov, Romania

Keywords:

inverse combinatorial optimization, maximum flow, strongly polynomial time complexity

Abstract

The problem introduced in this paper (denoted IMFW) is to modify the capacities on arcs from a network so that a given feasible flow becomes a maximum flow and the maximum cost of change of the capacities is minimum. This problem is a generalization of the inverse maximum flow problem under l norm (denoted IMF, where the per unit cost of modification is equal to 1 on all arcs), which was priviously studied and solved in polynomial time. In this paper, the algorithm for IMF is adapted to solve IMFW.

Author Biography

Adrian Deaconu, Transilvania University of Brasov, Romania

Faculty of Mathematics and Informatics

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Published

2009-12-15

Issue

Section

MATHEMATICS, INFORMATICS, PHYSICS