首页> 外文期刊>RAIRO Theoretical Informatics and Applications >RECOGNIZING WHEN HEURISTICS CAN APPROXIMATE MINIMUM VERTEX COVERS IS COMPLETE FOR PARALLEL ACCESS TO NP
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RECOGNIZING WHEN HEURISTICS CAN APPROXIMATE MINIMUM VERTEX COVERS IS COMPLETE FOR PARALLEL ACCESS TO NP

机译:确认启发式算法可以完全近似于最小顶点覆盖率以并行访问NP

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摘要

For both the edge deletion heuristic and the maximum-degree greedy heuristic, we study the problem of recognizing those graphs for which that heuristic can approximate the size of a minimum vertex cover within a constant factor of r, where r is a fixed rational number. Our main results are that these problems are complete for the class of problems solvable via parallel access to NP. To achieve these main results, we also show that the restriction of the vertex cover problem to those graphs for which either of these heuristics can find an optimal solution remains NP-hard.
机译:对于边缘删除启发式算法和最大程度贪婪启发式算法,我们研究识别那些图,其中启发式算法可以在常数r内近似最小顶点覆盖的大小,其中r是一个固定的有理数。我们的主要结果是,对于通过并行访问NP可解决的一类问题,这些问题是完整的。为了获得这些主要结果,我们还表明,顶点覆盖问题仅限于这些图(对于这些图而言,这些启发法中的任何一个都可以找到最佳解决方案)仍然是NP-hard。

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