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 ...

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 ...

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, 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 ...

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 ...

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 ...

A souped-up algorithm for solving the max flow problem could help find the best paths for moving goods across countries or routing information on the internet ...

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 ...

Id: 035779 Credits Min: 3 Credits Max: 3 Description This course covers advanced topics in network optimization on continuous and discrete models, including the max-flow problem, the min-cost flow ...

New Algorithm Can Dramatically Streamline Solutions to the ‘Max Flow’ Problem Research could boost the efficiency of even huge networks like the Internet.