投射技术
发表于 2025-3-21 17:55:02
书目名称Computational Aspects and Applications in Large-Scale Networks影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0232113<br><br> <br><br>书目名称Computational Aspects and Applications in Large-Scale Networks影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0232113<br><br> <br><br>书目名称Computational Aspects and Applications in Large-Scale Networks网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0232113<br><br> <br><br>书目名称Computational Aspects and Applications in Large-Scale Networks网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0232113<br><br> <br><br>书目名称Computational Aspects and Applications in Large-Scale Networks被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0232113<br><br> <br><br>书目名称Computational Aspects and Applications in Large-Scale Networks被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0232113<br><br> <br><br>书目名称Computational Aspects and Applications in Large-Scale Networks年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0232113<br><br> <br><br>书目名称Computational Aspects and Applications in Large-Scale Networks年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0232113<br><br> <br><br>书目名称Computational Aspects and Applications in Large-Scale Networks读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0232113<br><br> <br><br>书目名称Computational Aspects and Applications in Large-Scale Networks读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0232113<br><br> <br><br>
Fulminate
发表于 2025-3-21 23:59:24
FPT Algorithms for the Shortest Lattice Vector and Integer Linear Programming Problems matrices included in the problems’ formulations are near square. The main parameter is the maximal absolute value of rank minors of matrices included in the problem formulation. Additionally, we present FPT algorithms with respect to the same main parameter for the problems, when the matrices have
显而易见
发表于 2025-3-22 01:32:05
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疲劳
发表于 2025-3-22 06:11:59
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都相信我的话
发表于 2025-3-22 12:03:45
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嘲弄
发表于 2025-3-22 13:47:31
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嘲弄
发表于 2025-3-22 20:57:27
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Graphite
发表于 2025-3-23 01:05:23
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flex336
发表于 2025-3-23 04:00:58
Robust Statistical Procedures for Testing Dynamics in Market Networkmarket network. In the present paper, the stock market network of stock’s returns is considered. Probability of sign coincidence of stock’s returns is used as the measure of similarity between stocks. Robust (distribution free) multiple testing statistical procedure for testing dynamics of network i
单片眼镜
发表于 2025-3-23 06:19:34
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