Sentence examples for minimum cost flow from inspiring English sources

"A Polynomial Combinatorial Algorithm for Generalized Minimum Cost Flow". Wayne, K.

This paper deals with fuzzy quantities and relations in multi-objective minimum cost flow problem.

Constrained continuous optimization problems are ubiquitous, and include regression problems, optimal control, shape optimization, minimum cost flow, optimal pricing, and much more.

In this paper, we show how the problem can be modelled as a minimum cost flow problem with side constraints.

To solve the problem, we reformulate it as a minimum cost flow problem plus several bounded variables.

The results demonstrate that this framework is effective and overcomes the limitations of the multi-objective stochastic minimum cost flow problem (which becomes intractable for large-scale instances).

Those works include a work by Orlin, who proposes algorithms to determine weakly connected components [7], strongly connected components [7], Eulerian paths [7], minimum cost spanning trees [7], maximum flows [8], and minimum cost flows [9].

An important part of the solution was in the reformulation of the heterogeneous base station selection problem to a minimum cost-flow problem, which was then solved as a directional graph with low computational complexity.

In addition, we discuss a capacity-bounding approach to the minimum-cost flow problem.

MEOS is a network flow optimization model designed to solve the minimum-cost flow problem in a network that consists of nodes (production areas, consumption areas, transshipment junctions) and arcs (pipelines).

In fact, the offline version of our problem corresponds to the well-known multi-commodity minimum-cost flow (CMCF) problem and is therefore NP-complete; please refer to [57] for details.