Perennial长期的 发表于 2025-3-25 05:32:00
The Phenomenological Relations,n a . graph . = (.,.) with edge weights .. ∈ ℤ and edge lengths ℓ. ∈ ℕ for . ∈ . we define the density of a . subgraph . = (.′,.′) ⊆ . as the ratio .. We consider the problem of computing a maximum density pattern . with weight at least . and and length at most . in a host ...We consider this proble1FAWN 发表于 2025-3-25 11:10:56
Viscosity Phenomena in a Magnetic Field,erent ways, to cope with contradictory information in the input. In particular, there exist methods based on encoding the input trees in a matrix, and methods based on finding minimum cuts in some graph. Matrix representation methods compute supertrees of superior quality, but the underlying optimiz蔑视 发表于 2025-3-25 13:02:44
Diffusion and Thermodiffusion in Alloys,ems. This paper presents new local search methods to solve the maximum satisfiability problems and analyzes the performance of the methods. We focus on the sub problem with each clause containing at least . literals, Max-(.)-Sat briefly. The central issue is to discuss the local search algorithms asConcomitant 发表于 2025-3-25 16:41:58
http://reply.papertrans.cn/24/2348/234771/234771_24.pngTruculent 发表于 2025-3-25 21:03:08
http://reply.papertrans.cn/24/2348/234771/234771_25.png巨大没有 发表于 2025-3-26 04:13:36
http://reply.papertrans.cn/24/2348/234771/234771_26.png组成 发表于 2025-3-26 04:39:47
http://reply.papertrans.cn/24/2348/234771/234771_27.png来这真柔软 发表于 2025-3-26 09:22:56
Der 2. Hauptsatz der Thermodynamik,n made in the study of counting constraint satisfaction problems (or simply #CSPs). In particular, a computational complexity classification of bounded-degree #CSPs has been discovered for all degrees except for two, where the . of an instance is the maximal number of times that each input variablepreeclampsia 发表于 2025-3-26 16:13:42
http://reply.papertrans.cn/24/2348/234771/234771_29.pngMitigate 发表于 2025-3-26 17:25:08
Der 1. Hauptsatz der Thermodynamik, ., and prove a dichotomy theorem for the following class of problems, specified by . and .: Given an arbitrary .-regular graph . = (., .), where each edge is attached the function ., compute .(.) = ∑ . ∏ .. (.(.), .(.)). .(·) is known as the partition function of the ., also known as graph homomorp