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