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发表于 2025-3-21 18:45:22 | 显示全部楼层 |阅读模式
书目名称Graph-Theoretic Concepts in Computer Science
编辑Jan Leeuwen
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: ;
出版日期Conference proceedings 1994
版次1
doihttps://doi.org/10.1007/3-540-57899-4
isbn_softcover978-3-540-57899-4
isbn_ebook978-3-540-48385-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
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发表于 2025-3-21 21:38:33 | 显示全部楼层
Approximating minimum weight perfect matchings for complete graphs satisfying the triangle inequalif finding a minimum-weight perfect matching in complete graphs satisfying the triangle inequality. The algorithm is conceptually very simple and has a work measure within a factor of ... of the best exact sequential algorithm. This is the first . approximation algorithm for the problem with a sub-li
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Hierarchically specified unit disk graphs,PACE-hardness results and polynomial time approximations are presented for most of the problems considered. These problems include ...Our PSPACE-hardness results imply the PSPACE-hardness of the geometric location problems in [MS84, WK88], when sets of points are specified hierarchically as in [BOW8
发表于 2025-3-22 06:53:45 | 显示全部楼层
Bounded tree-width and LOGCFL,ations on .-sourced graphs—on tree-width bounded graphs belong to the complexity class LOGCFL. This is the lowest complexity class known for these problems. Our result complements the research in a series of papers [1, 2, 3, 5, 8, 9, 12, 15, 16] by Arnborg, Bodlaender, Chandrasekharan, Courcelle, He
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发表于 2025-3-22 16:45:12 | 显示全部楼层
Algorithms and complexity of sandwich problems in graphs (extended abstract),lems generalize recognition problems and arise in various applications. Concentrating mainly on subfamilies of perfect graphs, we give polynomial algorithms for several families and prove the NP-completeness of others.
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Dynamic algorithms for graphs with treewidth 2,s for graphs with treewidth at most 2 (also called: partial 2-trees, or series-parallel graphs), and for almost trees with parameter .. Each operation can be performed in .(log .) time. For a large number of graph decision, optimization and counting problems, information can be maintained using .(lo
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