不同
发表于 2025-3-21 16:43:46
书目名称Computational Practice in Mathematical Programming影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0232906<br><br> <br><br>书目名称Computational Practice in Mathematical Programming影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0232906<br><br> <br><br>书目名称Computational Practice in Mathematical Programming网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0232906<br><br> <br><br>书目名称Computational Practice in Mathematical Programming网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0232906<br><br> <br><br>书目名称Computational Practice in Mathematical Programming被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0232906<br><br> <br><br>书目名称Computational Practice in Mathematical Programming被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0232906<br><br> <br><br>书目名称Computational Practice in Mathematical Programming年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0232906<br><br> <br><br>书目名称Computational Practice in Mathematical Programming年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0232906<br><br> <br><br>书目名称Computational Practice in Mathematical Programming读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0232906<br><br> <br><br>书目名称Computational Practice in Mathematical Programming读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0232906<br><br> <br><br>
troponins
发表于 2025-3-21 21:58:40
A synthesis of compact-inverse methods for block-angular linear programming problems,t decomposition method, depending on how the pivot row is selected. A bound on the number of multiplications per iteration is given for each method and compared with the bounds for the revised simplex and dual revised simplex methods without the product form of the inverse.
健壮
发表于 2025-3-22 03:43:28
Sustainable collaboration in supply chainsprocedure. Computational comparisons between the partial norm method and other methods show our algorithm to be a surprisingly effective procedure. We show the partial norm procedure to be amenable to simplex routines using multiple pricing.
军火
发表于 2025-3-22 04:54:25
https://doi.org/10.1007/978-0-387-72776-9O and CPU time when the LP problem resides on auxiliary storage. Several industrial problems, chosen at random, were solved under limited core storage conditions and empirical results indicate that dual multiple pricing and suboptimization reduce both major iterations and the average time per iteration for large problems.
Baffle
发表于 2025-3-22 12:05:00
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brassy
发表于 2025-3-22 15:34:39
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brassy
发表于 2025-3-22 17:45:06
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oxidize
发表于 2025-3-22 23:56:39
Multiple pricing and suboptimization in dual linear programming algorithms,O and CPU time when the LP problem resides on auxiliary storage. Several industrial problems, chosen at random, were solved under limited core storage conditions and empirical results indicate that dual multiple pricing and suboptimization reduce both major iterations and the average time per iteration for large problems.
Anthropoid
发表于 2025-3-23 03:45:55
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全等
发表于 2025-3-23 05:38:38
On scaling linear programming problems,mber of these techniques and gives numerical results for several real problems. Particular attention is given to two “optimal” scaling methods, giving results on their speed and effectiveness (in terms of their optimality criteria) as well as well as their influence on the numerical behavior of the problem.