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A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...

Researchers from MIT, Yale University, and the University of Southern California have developed what they are labeling the "fastest known algorithm" for solving the problem of "maximum flow." The max ...

The objective of this study is to develop a shortest augmenting path algorithm for solving the semi-assignment problem and conduct an extensive computational comparison with the best alternative ...

Algorithm promises to greatly streamline solutions to the 'max flow' problem. Research could boost the efficiency even of huge networks like the Internet. Finding the most efficient way to transport ...

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 ...

Abstract: Multi-commodity flow finding is an important task of transportation planning and optimization. This paper describes one of its variations - the task of the two-commodity flow obtaining in a ...

Abstract: Computing maximum matchings in bipartite graphs is an important problem with applications in domains such as resource allocation, chemical analysis, and bioinformatics. The leading ...