作呕 发表于 2025-3-25 05:47:53
Approximating the Best-Fit Tree Under , , Normsting..We also consider the problem of finding an ultrametric . that minimizes ..elative: the sum of the factors by which each input distance is stretched. For the latter problem, we give a factor .(log..) approximation.Enervate 发表于 2025-3-25 08:49:25
http://reply.papertrans.cn/17/1605/160456/160456_22.png谈判 发表于 2025-3-25 14:53:29
http://reply.papertrans.cn/17/1605/160456/160456_23.pngFRET 发表于 2025-3-25 18:04:32
http://reply.papertrans.cn/17/1605/160456/160456_24.pngFlawless 发表于 2025-3-25 23:56:20
http://reply.papertrans.cn/17/1605/160456/160456_25.png星球的光亮度 发表于 2025-3-26 00:54:45
978-3-540-28239-6Springer-Verlag Berlin Heidelberg 2005SMART 发表于 2025-3-26 06:13:52
http://reply.papertrans.cn/17/1605/160456/160456_27.png起皱纹 发表于 2025-3-26 10:04:48
http://reply.papertrans.cn/17/1605/160456/160456_28.png极端的正确性 发表于 2025-3-26 12:37:40
http://reply.papertrans.cn/17/1605/160456/160456_29.png摘要 发表于 2025-3-26 17:43:47
F. Kraus,O. Minkowski,A. Schittenhelm solving a standard SDP relaxation of MAX CUT and then rounds the optimal solution obtained using a random hyperplane. In some cases, the optimal solution of the SDP relaxation happens to lie in a low dimensional space. Can an improved performance ratio be obtained for such instances? We show that t