tenuous 发表于 2025-3-23 09:42:17
Entscheidung über den Einspruchoint location queries and range queries with ranges of small width. For certain important special cases, our bounds are optimal. We also show how to update the structure dynamically, and we generalize our results to higher-dimensional spaces.痛苦一生 发表于 2025-3-23 16:10:19
http://reply.papertrans.cn/16/1531/153049/153049_12.pngWAIL 发表于 2025-3-23 22:01:14
Exact Point Pattern Matching and the Number of Congruent Triangles in a Three-Dimensional Pointsetr. By the same method we prove an .(..β(.)) upper bound on the number of triangles congruent to a given one among . points in threedimensional space, improving an .(..)-bound of Akutsu et al. The corresponding lower bound for both problems is Ω(..).DOTE 发表于 2025-3-24 00:10:06
On R-Trees with Low Stabbing Numberoint location queries and range queries with ranges of small width. For certain important special cases, our bounds are optimal. We also show how to update the structure dynamically, and we generalize our results to higher-dimensional spaces.安抚 发表于 2025-3-24 05:48:29
http://reply.papertrans.cn/16/1531/153049/153049_15.png开始发作 发表于 2025-3-24 08:21:54
https://doi.org/10.1007/978-3-658-01278-6” objective function is minimized, (iii) there are optimal decomposition algorithms that significantly expedite the Minkowski-sum computation, but the decomposition itself is expensive to compute — in such cases simple heuristics that approximate the optimal decomposition perform very well.MUTE 发表于 2025-3-24 10:57:50
http://reply.papertrans.cn/16/1531/153049/153049_17.png反对 发表于 2025-3-24 16:48:37
Conlusio und Handlungsempfehlungen,h . vertices and . edges, then we may find a directed minimum.The key of our construction is a so-called . step that, given an arbitrary set system with odd intersection, finds an odd set with value not more than the maximum of the initial system.钢盔 发表于 2025-3-24 21:33:26
http://reply.papertrans.cn/16/1531/153049/153049_19.pngchassis 发表于 2025-3-25 00:24:39
Aussetzung und Ruhen des Verfahrensltiplicative factor away from the corresponding lower bounds that we determine for the class, where . is the maximum edge weight. We then show how to extend our results to other multicriteria online problems sharing similar properties.