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樓主: Bunion
41#
發(fā)表于 2025-3-28 18:26:45 | 只看該作者
42#
發(fā)表于 2025-3-28 21:49:58 | 只看該作者
43#
發(fā)表于 2025-3-29 01:10:41 | 只看該作者
Embedding Plane 3-Trees in ?2 and ?3 a plane 3-tree . with . vertices, a set . of . points in ?. that are not necessarily in general position and a mapping of the three outer vertices of . to three different points of ., it is NP-complete to decide if . admits a point-set embedding on . respecting the given mapping.
44#
發(fā)表于 2025-3-29 05:57:17 | 只看該作者
Pinning Balloons with Perfect Angles and Optimal Areaa disk of radius .., while having no edge of length smaller than 1. The tree drawing algorithm is an enhancement of a recent result by Duncan et?al.?[Symp.?of Graph Drawing, 2010] that exploits the heavy-edge tree decomposition technique to construct a drawing of the tree that can be covered with a
45#
發(fā)表于 2025-3-29 08:01:36 | 只看該作者
46#
發(fā)表于 2025-3-29 13:30:47 | 只看該作者
Summary and Concluding Remarks,a disk of radius .., while having no edge of length smaller than 1. The tree drawing algorithm is an enhancement of a recent result by Duncan et?al.?[Symp.?of Graph Drawing, 2010] that exploits the heavy-edge tree decomposition technique to construct a drawing of the tree that can be covered with a
47#
發(fā)表于 2025-3-29 17:56:04 | 只看該作者
Introduction & Literature Review, including Gabriel drawings, Delaunay drawings, and .-drawings, even for arbitrarily small values of .. and ... We also study the extremal case of (0,..)-proximity drawings, which generalizes the well-known weak proximity drawing model.
48#
發(fā)表于 2025-3-29 22:12:41 | 只看該作者
49#
發(fā)表于 2025-3-30 02:19:25 | 只看該作者
Approximate Proximity Drawings including Gabriel drawings, Delaunay drawings, and .-drawings, even for arbitrarily small values of .. and ... We also study the extremal case of (0,..)-proximity drawings, which generalizes the well-known weak proximity drawing model.
50#
發(fā)表于 2025-3-30 06:27:58 | 只看該作者
Generalizing Geometric Graphsstep at formulating graph generalization within a mathematical model and we consider the resulting problems from an algorithmic point of view. Although these problems are NP-hard in general, we provide efficient approximation algorithms as well as efficient and effective heuristics. At the end of the paper we showcase some sample generalizations.
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