accordance
发表于 2025-3-26 23:35:36
F. Kraus,O. Minkowski,A. Schittenhelmunds.Könemann and Ravi give bicriteria approximation algorithms for the problem using local search techniques of Fischer . For a graph with a cost ., degree . spanning tree, and parameters ., .> 1, their algorithm produces a tree whose cost is at most . and whose degree is at most . We gi
肮脏
发表于 2025-3-27 03:15:49
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言行自由
发表于 2025-3-27 05:39:39
,Die primäre Darmtuberkulose des Menschen,r trees that are disjoint on the nonterminal nodes and on the edges. The problem is known to be NP-hard to approximate within a factor of Ω(log.), where . denotes |.|. We present a randomized .(log.)-approximation algorithm for this problem, thus matching the hardness lower bound. Moreover, we show
胆小鬼
发表于 2025-3-27 12:59:18
F. Kraus,Erich Meyer,L. Langsteint produces a linear arrangement of the vertices of a caterpillar with bandwidth at most .(log ./loglog .) times the . of the caterpillar, where the local density is a well known lower bound on the bandwidth. This result is best possible in the sense that there are caterpillars whose bandwidth is lar
泄露
发表于 2025-3-27 15:17:00
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abracadabra
发表于 2025-3-27 19:08:32
F. Kraus,Erich Meyer,L. Langsteinproblems. Our algorithms use and extend the Boosted Sampling framework of . We also show how the framework can be adapted to give approximation algorithms even when the inflation parameters are correlated with the scenarios.
准则
发表于 2025-3-28 01:58:13
O. Krayer,E. Lehnartz,H. H. Weber We also investigate different special cases of the problem, including those obtained by restricting the literals to be unnegated and/or all clauses to have size exactly .. Our results show that the 1-in-.SAT problem exhibits some rather peculiar phenomena in the realm of constraint satisfaction pro
Prologue
发表于 2025-3-28 04:21:10
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Carminative
发表于 2025-3-28 08:48:09
The anaphylatoxin-forming system,nding the closest ultrametric . under the .. norm, i.e. . minimizes ||.,.||.. Here, . is the number of distinct distances in .. Combined with the results of , our algorithms imply the same factor approximation for finding the closest . under the same norm. In , Agarwala . present the first app
CRUDE
发表于 2025-3-28 12:15:28
https://doi.org/10.1007/BFb0115462 predicate .. The approximation ratio of a random assignment is equal to the fraction of satisfying inputs to .. If it is .-hard to achieve a better approximation ratio for ..., then we say that . is .. Our goal is to characterize which predicates that have this property..A general approximation alg