scholarly journals Inverse Minimum Cut Problem with Lower and Upper Bounds

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1494
Author(s):  
Adrian Deaconu ◽  
Laura Ciupala

The inverse minimum cut problem is one of the classical inverse optimization researches. In this paper, the inverse minimum cut with a lower and upper bounds problem is considered. The problem is to change both, the lower and upper bounds on arcs so that a given feasible cut becomes a minimum cut in the modified network and the distance between the initial vector of bounds and the modified one is minimized. A strongly polynomial algorithm to solve the problem under l1 norm is developed.

2008 ◽  
Vol 18 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Adrian Deaconu

The general inverse maximum flow problem (denoted GIMF) is considered, where lower and upper bounds for the flow are changed so that a given feasible flow becomes a maximum flow and the distance (considering l1 norm) between the initial vector of bounds and the modified vector is minimum. Strongly and weakly polynomial algorithms for solving this problem are proposed. In the paper it is also proved that the inverse maximum flow problem where only the upper bound for the flow is changed (IMF) is a particular case of the GIMF problem.


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