標(biāo)題: Titlebook: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques; 8th International Wo Chandra Chekuri,Klaus Jansen,L [打印本頁] 作者: POL 時(shí)間: 2025-3-21 17:44
書目名稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques影響因子(影響力)
書目名稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques影響因子(影響力)學(xué)科排名
書目名稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques網(wǎng)絡(luò)公開度
書目名稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques被引頻次
書目名稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques被引頻次學(xué)科排名
書目名稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques年度引用
書目名稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques年度引用學(xué)科排名
書目名稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques讀者反饋
書目名稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques讀者反饋學(xué)科排名
作者: Entrancing 時(shí)間: 2025-3-21 23:26
Die chronischen Albuminurien im Kindesalter,y Kato, Imai, and Asano (ISAAC’02) have given a factor 2 approximation algorithm, however their correctness proof is incomplete. In this note, we propose a rounding 2-approximation algorithm based on a LP-formulation of the minimum Manhattan network problem.作者: 發(fā)生 時(shí)間: 2025-3-22 03:01 作者: Outshine 時(shí)間: 2025-3-22 08:25
https://doi.org/10.1007/BFb0116996m requirement. We also show that the integrality gap of a natural LP relaxation for this problem is bounded by .(log . log (.)). On trees, we obtain an improved guarantee of .(log (.)). There is a natural Ω (log .) hardness of approximation for the requirement cut problem.作者: Impugn 時(shí)間: 2025-3-22 10:34 作者: 健談 時(shí)間: 2025-3-22 14:41
A Rounding Algorithm for Approximating Minimum Manhattan Networksy Kato, Imai, and Asano (ISAAC’02) have given a factor 2 approximation algorithm, however their correctness proof is incomplete. In this note, we propose a rounding 2-approximation algorithm based on a LP-formulation of the minimum Manhattan network problem.作者: 河流 時(shí)間: 2025-3-22 20:53 作者: padding 時(shí)間: 2025-3-23 00:03 作者: 反省 時(shí)間: 2025-3-23 02:18
Approximation Schemes for Node-Weighted Geometric Steiner Tree Problemso find approximation schemes for geometric optimization problems that have a complicated topology. Furthermore the techniques we use provide a more general framework which can be applied to geometric optimization problems with more complex objective functions.作者: 天然熱噴泉 時(shí)間: 2025-3-23 07:20 作者: 四牛在彎曲 時(shí)間: 2025-3-23 10:05 作者: grenade 時(shí)間: 2025-3-23 17:24 作者: 單色 時(shí)間: 2025-3-23 19:58
Packing Element-Disjoint Steiner Treesre . denotes |.|. We present a randomized .(log.)-approximation algorithm for this problem, thus matching the hardness lower bound. Moreover, we show a tight upper bound of .(log.) on the integrality ratio of a natural linear programming relaxation.作者: enormous 時(shí)間: 2025-3-24 01:57
The Complexity of Making Unique Choices: Approximating 1-in-, SATo have size exactly .. Our results show that the 1-in-.SAT problem exhibits some rather peculiar phenomena in the realm of constraint satisfaction problems. Specifically, the problem becomes . easier to approximate with perfect completeness as well as when negations of literals are not allowed.作者: 信徒 時(shí)間: 2025-3-24 04:31
Approximating the Distortionstrating that, when the distortion is large, it is hard to approximate within large factors, even for 1-dimensional point sets. We also introduce additive distortion, and show that it can be easily approximated within a factor of two.作者: 輕打 時(shí)間: 2025-3-24 07:54 作者: MORPH 時(shí)間: 2025-3-24 13:59
The anaphylatoxin-forming system,ting..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.作者: Minuet 時(shí)間: 2025-3-24 18:37
https://doi.org/10.1007/BFb0115462ll as all predicates on 2. binary inputs, that have at most 2.+1 accepting inputs..We also prove a large number of predicates to be approximation resistant. In particular, all predicates of arity 2.+.. with less than . non-accepting inputs are proved to be approximation resistant, as well as almost 1/5 of the predicates on four binary inputs.作者: badinage 時(shí)間: 2025-3-24 22:21
K. Kramer,O. Krayer,H. H. Weber.... The cost of the cover is given by ∑?...... Our objective is to find a cover with minimum cost. We provide an algorithm with the same performance guarantee as for regular partial vertex cover. In this case no algorithm for the problem was known.作者: ALT 時(shí)間: 2025-3-25 01:00 作者: 作嘔 時(shí)間: 2025-3-25 05:47
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.作者: Enervate 時(shí)間: 2025-3-25 08:49 作者: 談判 時(shí)間: 2025-3-25 14:53 作者: FRET 時(shí)間: 2025-3-25 18:04 作者: Flawless 時(shí)間: 2025-3-25 23:56 作者: 星球的光亮度 時(shí)間: 2025-3-26 00:54
978-3-540-28239-6Springer-Verlag Berlin Heidelberg 2005作者: SMART 時(shí)間: 2025-3-26 06:13 作者: 起皺紋 時(shí)間: 2025-3-26 10:04 作者: 極端的正確性 時(shí)間: 2025-3-26 12:37 作者: 摘要 時(shí)間: 2025-3-26 17:43
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作者: accordance 時(shí)間: 2025-3-26 23:35
F. Kraus,O. Minkowski,A. Schittenhelmunds.K?nemann and Ravi [10,11] give bicriteria approximation algorithms for the problem using local search techniques of Fischer?[5]. 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作者: 骯臟 時(shí)間: 2025-3-27 03:15 作者: 言行自由 時(shí)間: 2025-3-27 05:39
,Die prim?re 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 作者: 膽小鬼 時(shí)間: 2025-3-27 12:59
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作者: 泄露 時(shí)間: 2025-3-27 15:17 作者: abracadabra 時(shí)間: 2025-3-27 19:08
F. Kraus,Erich Meyer,L. Langsteinproblems. Our algorithms use and extend the Boosted Sampling framework of?[6]. We also show how the framework can be adapted to give approximation algorithms even when the inflation parameters are correlated with the scenarios.作者: 準(zhǔn)則 時(shí)間: 2025-3-28 01:58
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作者: Prologue 時(shí)間: 2025-3-28 04:21 作者: Carminative 時(shí)間: 2025-3-28 08:48
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 [1], our algorithms imply the same factor approximation for finding the closest . under the same norm. In [1], Agarwala . present the first app作者: CRUDE 時(shí)間: 2025-3-28 12:15
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作者: 舊病復(fù)發(fā) 時(shí)間: 2025-3-28 18:13 作者: progestogen 時(shí)間: 2025-3-28 21:15 作者: 上釉彩 時(shí)間: 2025-3-28 23:20
https://doi.org/10.1007/BFb0116986streamed-in in some arbitrary order rather than residing in randomly accessible memory. For .>?0, we achieve a . approximation for maximum cardinality matching and a . approximation to maximum weighted matching. Both algorithms use a constant number of passes and . space.作者: 悅耳 時(shí)間: 2025-3-29 04:09 作者: 束以馬具 時(shí)間: 2025-3-29 10:28
https://doi.org/10.1007/BFb0116996of the vertices) is convex if it can be completed to a convex (total) coloring. Convex coloring of trees arises in areas such as phylogenetics, linguistics, etc. e.g., a perfect phylogenetic tree is one in which the states of each character induce a convex coloring of the tree. Research on perfect p作者: limber 時(shí)間: 2025-3-29 12:52
https://doi.org/10.1007/BFb0116996ment cut problem is an undirected edge-weighted graph .=(.,.), and . groups of vertices ..,???,..???., each with a requirement .. between 0 and |..|. The goal is to find a minimum cost set of edges whose removal separates each group .. into at least .. disconnected components..We give an .(log . log作者: modifier 時(shí)間: 2025-3-29 17:35 作者: 羽飾 時(shí)間: 2025-3-29 23:48
Chandra Chekuri,Klaus Jansen,Luca TrevisanIncludes supplementary material: 作者: 懸崖 時(shí)間: 2025-3-30 02:06
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/160456.jpg作者: 幼稚 時(shí)間: 2025-3-30 05:19 作者: 高射炮 時(shí)間: 2025-3-30 11:03
0302-9743 Overview: Includes supplementary material: 978-3-540-28239-6978-3-540-31874-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 粗俗人 時(shí)間: 2025-3-30 16:24
F. Kraus,Erich Meyer,L. Langsteinproblems. Our algorithms use and extend the Boosted Sampling framework of?[6]. We also show how the framework can be adapted to give approximation algorithms even when the inflation parameters are correlated with the scenarios.作者: Assemble 時(shí)間: 2025-3-30 19:54 作者: 蓋他為秘密 時(shí)間: 2025-3-30 22:46
The Network as a Storage Device: Dynamic Routing with Bounded Bufferss capable of transmitting a fixed number of packets per unit of time. At any moment in time, packets are injected at various network nodes with each packet specifying its destination node. The goal is to maximize the ., defined as the number of packets delivered to their destinations..In this paper,作者: Amylase 時(shí)間: 2025-3-31 04:09 作者: 輕信 時(shí)間: 2025-3-31 06:44
What Would Edmonds Do? Augmenting Paths and Witnesses for Degree-Bounded MSTsunds.K?nemann and Ravi [10,11] give bicriteria approximation algorithms for the problem using local search techniques of Fischer?[5]. 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作者: oxidize 時(shí)間: 2025-3-31 12:39 作者: chassis 時(shí)間: 2025-3-31 16:11 作者: Surgeon 時(shí)間: 2025-3-31 20:58 作者: INTER 時(shí)間: 2025-4-1 00:17
Where’s the Winner? Max-Finding and Sorting with Metric Costs costs one unit (of time, work, etc.); the goal of an algorithm is to minimize the total cost incurred. However, a body of recent work has attempted to find ways to weaken this assumption – in particular, new algorithms have been given for these basic problems of searching, sorting and selection, wh
