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 ...

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 ...

An algorithm promises to greatly streamline solutions to the "max flow" problem.

The algorithm developed by Kelner and his four colleagues chooses to solve the max-flow problem by analyzing all potential paths at the same time. According to university coverage of the technique, ...

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 ...

"The max-flow algorithm, however, reaches a Gini of 0.91, which measures a level of inequality considerably higher than present in any contemporary society." ...

Max flow models a network by constructing a graph that represents all the end-points as nodes, or vertices, and all the connections among them as edges.

Called the "max flow problem," the question of how to efficiently route traffic popped onto the scene in the 1950s and has nagged network operators of all types ever since.

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 ...