Mar 23, 2010 · Rapidly computing robust minimum capacity s-t cuts: a case study in solving a sequence of maximum flow problems. Published: 23 March 2010.
Douglas Altner & Özlem Ergun, 2011. "Rapidly computing robust minimum capacity s-t cuts: a case study in solving a sequence of maximum flow problems," Annals of ...
This paper shows how RobuCut can be reduced to solving a sequence of maximum flow problems and provides an efficient algorithm for rapidly solving this ...
a case study in solving a sequence of maximum flow problems
econpapers.repec.org › RePEc:spr:annop...
Feb 18, 2024 · Rapidly computing robust minimum capacity s-t cuts: a case study in solving a sequence of maximum flow problems. Douglas Altner (altner@usna ...
TL;DR: This paper shows how RobuCut can be reduced to solving a sequence of maximum flow problems and provides an efficient algorithm for rapidly solving this ...
Mar 23, 2010 · Rapidly computing robust minimum capacity s-t cuts: a case study in solving a sequence of maximum flow problems. Douglas S. Altner · Özlem ...
We investigate how to rapidly solve an online sequence of maximum flow problems (MFPs). Such sequences arise in a diverse collection of settings including ...
Nov 1, 2021 · Max-flow min-cut theorem. Value of a max flow = capacity of a min cut. Augmenting path theorem. A flow f is a max flow iff no augmenting paths.
Apr 26, 2020 · However, the solution to one problem is also the solution to the other, and vice versa. So if max flow is equal to M, so is min cut.
Missing: Rapidly robust case study sequence
Rapidly computing robust minimum capacity s-t cuts: a case study in solving a sequence of maximum flow problems. 23 March 2010 | Annals of Operations ...