Daidzein 发表于 2025-3-21 18:58:16
书目名称Netflow at Pisa影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0662739<br><br> <br><br>书目名称Netflow at Pisa影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0662739<br><br> <br><br>书目名称Netflow at Pisa网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0662739<br><br> <br><br>书目名称Netflow at Pisa网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0662739<br><br> <br><br>书目名称Netflow at Pisa被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0662739<br><br> <br><br>书目名称Netflow at Pisa被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0662739<br><br> <br><br>书目名称Netflow at Pisa年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0662739<br><br> <br><br>书目名称Netflow at Pisa年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0662739<br><br> <br><br>书目名称Netflow at Pisa读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0662739<br><br> <br><br>书目名称Netflow at Pisa读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0662739<br><br> <br><br>epicardium 发表于 2025-3-21 22:49:55
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Threshold assignment algorithm, concerning label-correcting shortest path algorithms. Preliminary computational findings indicate that the threshold assignment algorithm is much faster than the primal simplex algorithm for solving assignment problems.膝盖 发表于 2025-3-22 09:07:39
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Common aspects of several network flow algorithms,ic or nonbasic and incremental or nonincremental. The distinction between primal and dual degenerate pivots sheds some light on complexity and degeneracy issues. A detailed presentation of this material is given in Siedersleben (1983).危险 发表于 2025-3-23 01:45:43
Advanced start for the multicommodity network flow problem,es on the Lagrangean relaxation relative to the coupling constraints. Optimal single commodity solutions are thus found, almost satisfying the coupling constraints. Some computational aspects and preliminary encouraging results are presented and discussed.ADJ 发表于 2025-3-23 09:27:09
A class of network design problems with multiple demand: Model formulation and an algorithmic appropresenting the topological structure and link capacities. The demand model takes explicitly into account the uncertainty and the modifications of the demand vector during the operating period of the network.