存货清单 发表于 2025-3-21 18:38:14
书目名称Combinatorial Optimization影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0229950<br><br> <br><br>书目名称Combinatorial Optimization影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0229950<br><br> <br><br>书目名称Combinatorial Optimization网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0229950<br><br> <br><br>书目名称Combinatorial Optimization网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0229950<br><br> <br><br>书目名称Combinatorial Optimization被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0229950<br><br> <br><br>书目名称Combinatorial Optimization被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0229950<br><br> <br><br>书目名称Combinatorial Optimization年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0229950<br><br> <br><br>书目名称Combinatorial Optimization年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0229950<br><br> <br><br>书目名称Combinatorial Optimization读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0229950<br><br> <br><br>书目名称Combinatorial Optimization读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0229950<br><br> <br><br>farewell 发表于 2025-3-21 21:47:33
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Textbook 20125th editionw exercises and new material on various topics, including Cayley‘s formula, blocking flows, faster .b.-matching separation, multidimensional knapsack, multicommodity max-flow min-cut ratio, and sparsest cut. Thus, this book represents the state of the art of combinatorial optimization..单调性 发表于 2025-3-22 07:31:42
Bernhard Korte,Jens VygenWell-written, popular textbook on combinatorial optimization.One of very few textbooks on this topic.Subject area has manifold applications.Offers complete but concise proofs, making it an invaluablegregarious 发表于 2025-3-22 08:49:45
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https://doi.org/10.1007/978-3-642-24488-9combinatorial optimization; discrete algorithms; mathematical programming; combinatoricsAcupressure 发表于 2025-3-22 17:40:52
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Combinatorial Optimization978-3-642-24488-9Series ISSN 0937-5511 Series E-ISSN 2197-6783inspired 发表于 2025-3-23 04:54:57
http://reply.papertrans.cn/23/2300/229950/229950_9.pngCLASH 发表于 2025-3-23 08:25:59
CRNet: Centroid Radiation Network for Temporal Action Localizationg areas have the same action label, we obtain action boundaries by adopting random walk to propagate a centroid to its related areas. Our proposed method is an one-stage method and can be trained in an end-to-end fashion. Experimental results show that our approach outperforms the state-of-the-art methods on THUMOS14 and ActivityNet.