The partial inverse minimum cut problem withL1-norm is strongly NP-hard
Elisabeth Gassner · RAIRO - Operations Research · 2010
The partial inverse minimum cut problem is to minimally modify the capacities of a digraph such that there exists a minimum cut with respect to the new capacities that contains all arcs of a prespecified set. Orlin showed that the problem is strongly NP-hard if the amount of modification is measured by the weighted L1-norm. We prove that the problem remains hard for the unweighted case and show that the NP-hardness proof of Yang [RAIRO-Oper. Res. 35 (2001) 117–126] for this problem with additional bound constraints is not correct.