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Titlebook: Computer Science – Theory and Applications; 6th International Co Alexander Kulikov,Nikolay Vereshchagin Conference proceedings 2011 Springe

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21#
發(fā)表于 2025-3-25 07:24:25 | 只看該作者
22#
發(fā)表于 2025-3-25 10:28:11 | 只看該作者
23#
發(fā)表于 2025-3-25 12:57:55 | 只看該作者
,Graphs of Bounded Treewidth Can Be Canonized in?,,ree canonization algorithm?[22]. We define recursively what we call a . which gives with respect to some parameters in a logarithmic number of levels a canonical invariant together with an arrangement of all vertices. From this we compute a canonical labeling.
24#
發(fā)表于 2025-3-25 19:12:36 | 只看該作者
An Extended Tree-Width Notion for Directed Graphs Related to the Computation of Permanents,mples where the latter parameter is bounded whereas the former is not. As main result we show that permanents of matrices of bounded triangular tree-width are efficiently computable. This result holds as well for the Hamiltonian Cycle problem.
25#
發(fā)表于 2025-3-25 23:27:01 | 只看該作者
0302-9743 cted from 76 submissions. The scope of topics of the symposium was quite broad and covered basically all areas of the foundations of theoretical computer science.978-3-642-20711-2978-3-642-20712-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
26#
發(fā)表于 2025-3-26 03:38:32 | 只看該作者
27#
發(fā)表于 2025-3-26 04:17:48 | 只看該作者
https://doi.org/10.1007/BFb0051473 polynomials of constant degree over arbitrary finite rings from membership queries, with the additional constraint that each variable in the target polynomial appears in a constant number of monomials. Our algorithm extends to superconstant but low degree polynomials and still runs in quasipolynomial time.
28#
發(fā)表于 2025-3-26 09:39:00 | 只看該作者
29#
發(fā)表于 2025-3-26 16:41:21 | 只看該作者
30#
發(fā)表于 2025-3-26 17:33:49 | 只看該作者
The Equivalence of Sampling and Searching, ., and asked to find a member of a nonempty set .. with high probability. (An example is finding a Nash equilibrium.) In this paper, we use tools from Kolmogorov complexity to show that sampling and search problems are “essentially equivalent.” More precisely, for any sampling problem ., there exis
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