Results 31 to 40 of about 68 (68)
Many real-world optimization models comprise nonconvex and nonsmooth functions leading to very hard classes of optimization models. In this article, a new interior-point method for the special, but practically relevant class of optimization problems with
Martin Schmidt
doaj +1 more source
Branch-and-price-and-cut for large-scale multicommodity capacitated fixed-charge network design
We present a branch-and-price-and-cut algorithm for solving large-scale instances of the multicommodity capacitated fixed-charge network design problem.
Bernard Gendron, Mathieu Larose
doaj +1 more source
This paper addresses two variants of the routing and wavelength assignment problem arising in the context of optical transport networks. In both variants, we address the case where the physical coverage of the fiber network is such that regenerators, to ...
Amaro de Sousa +2 more
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Background — Anal sac impaction is common in dogs and manual expression may be effective, yet recurrence remains a problem. To facilitate physiological emptying of the sacs, it is important to maintain a bulky stool consistency. Objectives — The study evaluated if supplementation with ProGlan, a complementary feed containing Bacillus velezensis C‐3102 ...
Marta Salichs +2 more
wiley +1 more source
Lower and upper bounds of shortest paths in reachability graphs
We prove the following property for safe marked graphs, safe conflict‐free Petri nets, and live and safe extended free‐choice Petri nets. We prove the following three results. If the Petri net is a marked graph, then the length of the shortest path is at most (|T| − 1) · |T|/2.
P. K. Mishra
wiley +1 more source
Method for solving a convex integer programming problem
We consider a convex integer program which is a nonlinear version of the assignment problem. This problem is reformulated as an equivalent problem. An algorithm for solving the original problem is suggested which is based on solving the simple assignment problem via some of known algorithms.
Stefan M. Stefanov
wiley +1 more source
In this article, we study the application of NetworkX, a Python library for dealing with traffic networks, to the problem of signal optimization at a single intersection.
Jovanović Aleksandar +3 more
doaj +1 more source
The minimum cost multicommodity flow problem in dynamic networks and an algorithm for its solving [PDF]
The dynamic version of the minimum cost multicommodity flow problem that generalizes the static minimum cost multicommodity flow problem is formulated and studied.
Maria A. Fonoberova, Dmitrii D. Lozovanu
doaj
Network flow optimization for restoration of images
The network flow optimization approach is offered for restoration of gray‐scale and color images corrupted by noise. The Ising models are used as a statistical background of the proposed method. We present the new multiresolution network flow minimum cut algorithm, which is especially efficient in identification of the maximum a posteriori (MAP ...
Boris A. Zalesky
wiley +1 more source
Polynomial Time Algorithm for Determining Max-Min Paths in Networks and Solving Zero Value Cyclic Games [PDF]
We study the max-min paths problem, which represents a game version of the shortest and the longest paths problem in a weighted directed graph. In this problem the vertex set V of the weighted directed graph G=(V,E) is divided into two disjoint subsets ...
Dmitrii D. Lozovanu
doaj

