Obverse
发表于 2025-4-1 05:07:21
Zustandsgleichungen Idealer Gase, We further exhibit a class of point sets which can be triangulated compatibly with any other set (that satis?es the obvious size and hull restrictions). Finally, we prove that adding a small number of Steiner points (the number of interior points minus two) always allows for compatible triangulations.
大都市
发表于 2025-4-1 07:30:09
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名字
发表于 2025-4-1 10:43:42
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单挑
发表于 2025-4-1 17:18:44
On the Planar Two-Watchtower Problemild condition on solving a special cubic equation with three bounded variables in .(..) time we can also generalize the algorithm to solve the general problem in .(.. +....) time. Using parametric search, the discrete problem can be solvedin .(.. log..) time and the general problem can be solved in .(.. log..) time.
奇怪
发表于 2025-4-1 20:13:25
Computing Farthest Neighbors on a Convex Polytopeing each edge of .(.). The algorithm allows us to solve the all-pairs farthest neighbor problem for . in expected time .(. log..), and to perform farthest-neighbor queries on N in .(log..) time with high probability. This can be applied to find a Euclidean maximum spanning tree and a diameter 2-clustering of . in expected .(. log..) time.
小淡水鱼
发表于 2025-4-2 00:50:42
Finding an Optimal Bridge between Two Polygonssuch that the sum of three distances .(.), .(.)and .(.), with any .′ € . and any .′ € ., is minimized. We present an .(. log..)time algorithm for finding an optimal bridge between two simple polygons. This significantly improves upon the previous .(..)time bound.
开始从未
发表于 2025-4-2 03:43:54
Thermodynamik des Kraftfahrzeugscted) BP of depth . can be simulated by an oblivious BP with a depth of . + ⌈(. - log.)/(log log. + .)⌉·.. The third result implies that .. cannot be computed by any BP with a depth less than log. +log log. and .. not with a depth of o(log.·log log.). Note that most bounds in this paper include factors and lower-degree terms.
Aromatic
发表于 2025-4-2 09:12:40
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gerontocracy
发表于 2025-4-2 11:13:56
,Messung thermodynamischer Größen,re, which, exploiting the knowledge acquired in the course of the sequence reconstruction process, achieves typically a 20% performance improvement over the previous best technique, and comes at 90%-con?dence within a factor 0.5 of the information-theory bound.