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 ...

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 ...

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.

The max-flow problem is, roughly speaking, to calculate the maximum amount of “stuff” that can move from one end of a network to another, given the capacity limitations of the network’s ...

The max flow problem, as it's called, refers to the process of figuring out how much capacity is available between any given starting point and any given end point. Capacity could refer to trucks on ...

Their algorithm efficiently solves the maximum-flow problem, which seeks to determine how to transport as many goods through a network as possible without exceeding the capacity of the individual ...

These advances showed researchers that the maximum-flow problem, the minimum-cost problem (transshipment or transportation problem) and many other important network-flow problems can all be viewed ...

The problem of computing the maximum flow problem on capacitated networks arises in many application areas. In the area of heterogeneous computing, it arises in job or process scheduling when ...

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 ...