We consider in this paper a generalization of the minimum s-t cut problem. Suppose we are given a directed graph G(V,A) with two distinguished nodes s and t, k non-negative arcs cost functions (formula presented), and (formula presented)budget bounds (formula presented) where k is a constant. The goal is to find a (formula presented) cut C satisfying budget constraints (formula presented), and whose cost (formula presented) is minimum. We study the linear relaxation of the problem and give necessary and sufficient conditions for which it has an integral optimal basic solution.
CITATION STYLE
Aissi, H., & Mahjoub, A. R. (2020). On the linear relaxation of the s-t-cut Problem with Budget Constraints. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12176 LNCS, pp. 81–88). Springer. https://doi.org/10.1007/978-3-030-53262-8_7
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