This algorithm solves the minimum-cost maximum-flow problem for networks that incrementally change as new connections are added.

To tackle the problem, researchers have traditionally used a maximum-flow algorithm, also known as “max flow,” in which a network is represented as a graph with a series of nodes, known as ...

With Kin's algorithm, all important network flow problems, including maximum flow and minimum cost problems, can now be treated as special cases of the minimum cost flow problem.

The maximum ow solver is di fficult to parallelize. Highly optimized sequential version of maximum flow solvers such as those by Goldberg exists. This work describes how some of the concurrency ...

In the "classical" network flow model, flows are constrained by the capacities of individual arcs. In the "polymatroidal" network flow model introduced in this paper, flows are constrained by the ...

The maximum-flow problem, or max flow, is one of the most basic problems in computer science. MIT researchers, together with colleagues at Yale and the University of Southern California, have ...

Week 1 Intro to algorithm design: stable marriage Week 2 Shortest path algorithms Week 3 Minimal cycle ratio algorithms Week 4-5 Maximal flow algorithms Week 6-8 Min-cost flow algorithms Week 9-10 ...

To tackle the problem, researchers have traditionally used a maximum-flow algorithm, also known as "max flow," in which a network is represented as a graph with a series of nodes, known as ...