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Titlebook: Combinatorial Optimization and Applications; 12th International C Donghyun Kim,R. N. Uma,Alexander Zelikovsky Conference proceedings 2018 S

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樓主: Aggrief
31#
發(fā)表于 2025-3-27 00:36:02 | 只看該作者
32#
發(fā)表于 2025-3-27 04:03:03 | 只看該作者
Jamal Toutouh,Javier Luque,Enrique Albae .-degenerate induced subgraph enumeration. The time complexity is . time per solution with polynomial preprocessing time and the space complexity is linear in the input graph size, where . and . are the maximum degree and the degeneracy of the input graph.
33#
發(fā)表于 2025-3-27 05:50:39 | 只看該作者
34#
發(fā)表于 2025-3-27 10:34:41 | 只看該作者
Sergio Nesmachnow,Luis Hernández Callejonodes. We combine this algorithm with a maximum matching algorithm to obtain a . approximation algorithm for all values of .. We also describe how the mathematical programming formulation we give has several advantages over previous approaches which attempted at finding a subgraph with minimum spectral radius given an edge removal budget.
35#
發(fā)表于 2025-3-27 17:01:50 | 只看該作者
Schahram Dustdar,Stefan Nasti?,Ognjen ??eki?oblem is .[1]-hard, in parameter ., where . is the number of edge operations and . is the number of vertices to be satisfied. We also show that it is inapproximable to within a factor of .. For certain relaxations of the max-degree constraints, we are able to show constant-factor approximation algorithms for the problem.
36#
發(fā)表于 2025-3-27 19:20:46 | 只看該作者
37#
發(fā)表于 2025-3-27 21:58:54 | 只看該作者
https://doi.org/10.1007/978-3-642-20736-5ttack (for example, he/she could exchange some of the cards stealthily when doing such a private action). In contrast, our implementation relies on a familiar shuffling operation called a random cut, and hence, it can be conducted completely publicly so as to avoid any active attack.
38#
發(fā)表于 2025-3-28 04:05:09 | 只看該作者
39#
發(fā)表于 2025-3-28 07:48:20 | 只看該作者
40#
發(fā)表于 2025-3-28 12:10:24 | 只看該作者
Directed Path-Width of Sequence Digraphs time ., where . denotes the maximum sequence length. This leads to an XP-algorithm w.r.t. . for the directed path-width problem. As most known parameterized algorithms for directed path-width consider the standard parameter, our algorithm improves significantly the known results for a high amount of digraphs of large directed path-width.
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