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Titlebook: LATIN 2022: Theoretical Informatics; 15th Latin American Armando Casta?eda,Francisco Rodríguez-Henríquez Conference proceedings 2022 Sprin

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樓主: Pierce
51#
發(fā)表于 2025-3-30 08:55:56 | 只看該作者
Elastic-Degenerate String Matching with?1 Error also known as a .. The ED string matching (EDSM) problem consists in reporting all occurrences of a pattern of length . in an ED text. The EDSM problem has recently received some attention by the combinatorial pattern matching community, culminating in an .-time algorithm [Bernardini et al., SIAM J
52#
發(fā)表于 2025-3-30 12:35:00 | 只看該作者
53#
發(fā)表于 2025-3-30 18:48:19 | 只看該作者
54#
發(fā)表于 2025-3-30 20:51:25 | 只看該作者
55#
發(fā)表于 2025-3-31 03:24:15 | 只看該作者
Near-Optimal Search Time in?,-Optimal Space represented within the optimal . space, and further, that within that space one can find all the . occurrences in . of any pattern of length . in time . for any constant .. Instead, the near-optimal search time . was achieved only within . space. Both results are based on considerably different loc
56#
發(fā)表于 2025-3-31 09:03:19 | 只看該作者
57#
發(fā)表于 2025-3-31 12:02:43 | 只看該作者
Klee’s Measure Problem Made Oblivious this, we modify Chan’s algorithm?[.] to guarantee memory access patterns and control flow independent of the input; this makes the resulting algorithm applicable to privacy-preserving computation over outsourced data and (secure) multi-party computation..For ., we develop an oblivious version of Ch
58#
發(fā)表于 2025-3-31 17:07:07 | 只看該作者
A Parameterized Approximation Algorithm for?the?Multiple Allocation ,-Hub Centerr .. A solution is a set of hubs . of size . such that every demand (.,?.) is satisfied by a path starting in?., going through some vertex of ., and ending in?.. The objective is to minimize the largest length of a path. We show that finding a .-approximation is NP-hard already for planar graphs. Fo
59#
發(fā)表于 2025-3-31 19:09:19 | 只看該作者
60#
發(fā)表于 2025-4-1 00:55:49 | 只看該作者
Pathlength of Outerplanar Graphs greatest distance between two vertices that belong to a same bag and the ., denoted by ., of . is the smallest length of its path-decompositions. This parameter has been studied for its algorithmic applications for several classical metric problems like the minimum eccentricity shortest path proble
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