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Titlebook: Automata, Languages and Programming; 36th International C Susanne Albers,Alberto Marchetti-Spaccamela,Wolfga Conference proceedings 2009 Sp

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51#
發(fā)表于 2025-3-30 10:17:03 | 只看該作者
Investment Liquidity and Valuationider the question of whether these lower bounds can be made to work on almost all input lengths rather than on infinitely many. We give an oracle relative to which .???.., which provides evidence that this is not possible with current techniques.
52#
發(fā)表于 2025-3-30 15:55:54 | 只看該作者
53#
發(fā)表于 2025-3-30 16:55:22 | 只看該作者
Assigning Papers to Refereese PC chair typically bases her decision on input from the PC, her knowledge of submissions and PC members, or scores that are computed automatically from keywords provided by authors and PC members. From now on, we call PC members reviewers or ..
54#
發(fā)表于 2025-3-30 21:41:59 | 只看該作者
55#
發(fā)表于 2025-3-31 02:27:15 | 只看該作者
Faster Regular Expression Matchingtous task in linear space and .(.(loglog.)/(log.).?+?.?+?.) time where . is the length of the expression and . the length of the string. This is the first improvement for the dominant .(./log.) term in Myers’ .(./log.?+?(.?+?.)log.) bound [JACM 1992]. We also get improved bounds for external memory.
56#
發(fā)表于 2025-3-31 08:28:20 | 只看該作者
57#
發(fā)表于 2025-3-31 12:13:54 | 只看該作者
Approximating Decision Trees with Multiway Branchesttribute values such that the average number of tests is minimized. The previously best known approximation ratio for this problem was .(log..). In this paper, we present a new greedy heuristic that yields an improved approximation ratio of .(log.).
58#
發(fā)表于 2025-3-31 13:42:43 | 只看該作者
Gettering Defects in Semiconductorsain responsibility of the PC chair is to organize the review process, in particular, to decide which papers are assigned to which member of the PC. The PC chair typically bases her decision on input from the PC, her knowledge of submissions and PC members, or scores that are computed automatically f
59#
發(fā)表于 2025-3-31 21:12:35 | 只看該作者
Gettering Defects in Semiconductorsis sublinear in terms of the maximum or average degree of the hypergraph. We extend this to the weighted case and give a . bound, where . is the average weighted degree in a hypergraph, matching the best bounds known for the special case of graphs. Our approach is to use an semi-definite technique t
60#
發(fā)表于 2025-3-31 23:32:15 | 只看該作者
Springer Series in Advanced Microelectronicsy similarity function between element pairs. Their setting is agnostic in the sense that a ground truth clustering is not assumed to exist, and the cost of a solution is computed against the input similarity function. This problem has been studied in theory and in practice and has been subsequently
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