maximum flow problems involve finding a feasible flow through a flow network that obtains the maximum possible flow rate. The maximum flow problem can...

minimum-cost flow problem (MCFP) is an optimization and decision problem to find the cheapest possible way of sending a certain amount of flow through a flow network...

Specific types of network flow problems include: The maximum flow problem, in which the goal is to maximize the total amount of flow out of the source terminals...

science and optimization theory, the max-flow min-cut theorem states that in a flow network, the maximum amount of flow passing from the source to the sink...

Commons has media related to Flow networks. Maximum Flow Problem Real graph instances Lemon C++ library with several maximum flow and minimum cost circulation...

polynomial time using a reduction to the maximum flow problem. It may be used to model various application problems of choosing an optimal subset of tasks...

maximum flow problem in a graph (and thus, by the max-flow min-cut theorem, define a minimal cut of the graph). Under most formulations of such problems in...

(alternatively, preflow–push algorithm) is an algorithm for computing maximum flows in a flow network. The name "push–relabel" comes from the two basic operations...

problem in this category, such as the popular simplex algorithm. Problems that can be solved with linear programming include the maximum flow problem...

matching problem is closely related to the augmenting paths arising in maximum flow problems, paths along which one may increase the amount of flow between...

in network flow problems. He was the son of mathematician Lester R. Ford Sr. Ford's paper with D. R. Fulkerson on the maximum flow problem and the Ford–Fulkerson...

Dantzig–Wolfe decomposition Knapsack problem Maximum flow problem Optimization (mathematics) Travelling salesman problem Shadow price List of Jewish American...

dj. An integral maximum flow of minimum cost can be found in polynomial time; see network flow problem. Every integral maximum flow in this network corresponds...

biology, graph partitioning, and single- and multi-commodity flows (maximum flow problem). Rao is an ACM Fellow (2013) and won the Fulkerson Prize with...

circulation problem and its variants are a generalisation of network flow problems, with the added constraint of a lower bound on edge flows, and with flow conservation...

Ford–Fulkerson algorithm, one of the most well-known algorithms to solve the maximum flow problem in networks. D. R. Fulkerson was born in Tamms, Illinois, the third...

multi-commodity flow problem is a network flow problem with multiple commodities (flow demands) between different source and sink nodes. Given a flow network...

for industrial and Applied Mathematics 1988: A new approach to the maximum-flow problem, V Goldberg, RE Tarjan, Journal of the ACM (JACM) 35 (4), 921-940...

would perform O ( n 2 ) {\displaystyle O(n^{2})} iterations of the Maximum flow problem, which can be solved in O ( n 3 ) {\displaystyle O(n^{3})} time....

cut. In practice, the minimum cut problem is always discussed with the maximum flow problem, to explore the maximum capacity of a network, since the minimum...

algorithm solves the more general problem of computing the maximum flow. A bipartite graph (X + Y, E) can be converted to a flow network as follows. Add a source...

to the same problem on the condensation of the graph. It may be solved in polynomial time using a reduction to the maximum flow problem. Some algorithms...

In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed...

maximum flows. A closely related problem, the minimax path problem or bottleneck shortest path problem asks for the path that minimizes the maximum weight...

problem (which is equivalent in the single-terminal case to the maximum flow problem), and approximating the minimum-cost weighted perfect matching. Other...

of maximum flow and minimum cost flow problems yield a coefficient matrix with these properties (and with empty C). Thus, such network flow problems with...

running time. Ford and Fulkerson extended the method to general maximum flow problems in form of the Ford–Fulkerson algorithm. In this simple example...

multi-commodity flow problems. The classic max-flow min-cut theorem states that for networks with a single type of flow (single-commodity flows), the maximum possible...

PRAM algorithm for the maximum flow problem can provide strong speedups relative to the fastest serial program for the same problem. The article Ghanim,...

travelling salesman problem. In 1971 he co-developed with Jack Edmonds the Edmonds–Karp algorithm for solving the maximum flow problem on networks, and in...