影响 发表于 2025-3-23 12:44:01

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Cumbersome 发表于 2025-3-23 14:38:13

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挑剔为人 发表于 2025-3-23 22:02:30

Loop Nesting Forests, Dominators, and Applicationsareas. In this work we first present carefully engineered implementations of efficient algorithms for computing a loop nesting forest of a given directed graph, including a very efficient algorithm that computes the forest in a single depth-first search. Then we revisit the problem of computing domi

GENUS 发表于 2025-3-24 00:36:42

DenseZDD: A Compact and Fast Index for Families of Setsndamental techniques for web information retrieval, integration, and mining. For this purpose, a special type of ., called ., is used. However, current techniques for storing ZDDs require a huge amount of memory and membership operations are slow. This paper introduces DenseZDD, a compressed index f

MARS 发表于 2025-3-24 03:44:20

An Evaluation of Dynamic Labeling Schemes for Tree Networkscheme that converts static labeling schemes to dynamic, and a specialized dynamic distance labeling scheme. Our study shows that theoretical bounds only partially portray the performance of such dynamic labeling schemes in practice. First, we observe order-of-magnitude differences between the gains

吞下 发表于 2025-3-24 09:09:32

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sperse 发表于 2025-3-24 11:24:56

Computing Consensus Curvesough there are many generic software tools for motion tracking and specific ones for insect tracking, even untrained humans are better at this task. We consider several local (one ant at a time) and global (all ants together) methods. Our best performing algorithm uses a novel global method, based o

CLASH 发表于 2025-3-24 16:02:37

Selecting Data for Experiments: Past, Present and Futured be based on active discussions with users and careful study of existing data. Selecting data to model problems that may arise in the . is the most interesting and delicate of the tasks that we will consider.

eulogize 发表于 2025-3-24 20:47:50

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cortisol 发表于 2025-3-24 23:25:10

Efficient Wavelet Tree Construction and Querying for Multicore Architecturesre algorithms for wavelet tree construction that run in .(.) time using . processors, where . is the size of the input and . the alphabet size. Both algorithms have efficient memory consumption. We also present a querying technique based on batch processing that improves on simple domain-decomposition techniques.
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查看完整版本: Titlebook: Experimental Algorithms; 13th International S Joachim Gudmundsson,Jyrki Katajainen Conference proceedings 2014 Springer International Publi