Finding the most efficient way to transport items across a network like the U.S. highway system or the Internet is a problem that has taxed mathematicians and computer scientists for decades. To ...

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.

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 ...

Finding the most efficient way to transport items across a network like the U.S. highway system or the Internet is a problem that has taxed mathematicians and computer scientists for decades. To ...

Mathematics of Operations Research, Vol. 18, No. 1 (Feb., 1993), pp. 71-97 (27 pages) This paper is concerned with the design and probabilistic analysis of algorithms for the maximum-flow problem and ...

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 ...

The European PRACE organization has published a series of excellent whitepapers on scalable algorithms. Produced as part of the Work Package 8 of the PRACE 1IP Project, the most recent paper is ...

The question of how best to transport items across a network–be that traffic over the Internet, or cars over the U.S. highway system–is one that has challenged mathematicians and computer scientists ...

The maximum-flow problem, or max flow, is one of the most basic problems in computer science: first solved during preparations for the Berlin airlift, it’s a component of many logistical problems and ...