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41#
發(fā)表于 2025-3-28 15:00:17 | 只看該作者
42#
發(fā)表于 2025-3-28 20:22:58 | 只看該作者
43#
發(fā)表于 2025-3-29 00:21:25 | 只看該作者
idth and sim-width, have the limitation that no algorithms are known to compute bounded-width decompositions in polynomial-time. To partially resolve this limitation, we introduce the parameter neighbor-depth. We show that given a graph of neighbor-depth ., independent set can be solved in time . ev
44#
發(fā)表于 2025-3-29 07:08:01 | 只看該作者
https://doi.org/10.1057/9780230604841e definition - the graphs are mixed (they may have both directed and undirected edges), may have multiple edges, loops, and semi-edges. We show that a strong P/NP-co dichotomy holds true in the sense that for each such fixed target graph ., the .-. problem is either polynomial time solvable for arbi
45#
發(fā)表于 2025-3-29 08:40:37 | 只看該作者
https://doi.org/10.1007/978-1-4614-6943-8zed by .-edge-crossing width. They were known to be W[1]-hard parameterized by tree-partition-width, and FPT parameterized by edge-cut width, and we close the complexity gap between these two parameters.
46#
發(fā)表于 2025-3-29 14:33:34 | 只看該作者
https://doi.org/10.1007/978-3-319-28275-6s, a 2.445-approximation for perfect graphs, and a .-approximation for split graphs. To this end, we introduce a generic framework relying on a novel interpretation of BPC allowing us to solve the problem via . techniques. Our framework may find use in tackling BPC on other graph classes arising in
47#
發(fā)表于 2025-3-29 19:05:18 | 只看該作者
48#
發(fā)表于 2025-3-29 22:16:32 | 只看該作者
49#
發(fā)表于 2025-3-30 00:22:15 | 只看該作者
,Computational Complexity of?Covering Colored Mixed Multigraphs with?Degree Partition Equivalence Cle definition - the graphs are mixed (they may have both directed and undirected edges), may have multiple edges, loops, and semi-edges. We show that a strong P/NP-co dichotomy holds true in the sense that for each such fixed target graph ., the .-. problem is either polynomial time solvable for arbi
50#
發(fā)表于 2025-3-30 05:09:44 | 只看該作者
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