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Minimum-cost flow problem
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Minimum-cost flow problem : ウィキペディア英語版
Minimum-cost flow problem
The minimum-cost flow problem (MCFP) is to find the cheapest possible way of sending a certain amount of flow through a flow network. Typical application of this problem involves finding the best delivery route from a factory to a warehouse where the road network has some capacity and cost associated. The minimum cost flow problem is one of the most fundamental among all flow and circulation problems because most other such problems can be cast as a minimum cost flow problem and also that it can be solved very efficiently using the network simplex algorithm.
== Definition ==

Given a flow network, that is, a directed graph G=(V,E) with source s \in V and sink t \in V, where edge (u,v) \in E has capacity c(u,v) > 0, flow f(u,v) \ge 0 and cost a(u,v) (most minimum-cost flow algorithms support edges with negative costs). The cost of sending this flow is f(u,v)\cdot a(u,v). You are required to send an amount of flow d from s to t.
The definition of the problem is to minimize the total cost of the flow:
:\sum_ a(u,v) \cdot f(u,v)
with the constraints
: u \neq s, t
|-
| Required flow: || \,\sum_ f(s,w) = d \text \sum_ f(w,t) = d
|}

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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