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Titlebook: Computing and Combinatorics; 4th Annual Internati Wen-Lian Hsu,Ming-Yang Kao Conference proceedings 1998 Springer-Verlag Berlin Heidelberg

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樓主: 贊美
41#
發(fā)表于 2025-3-28 15:57:33 | 只看該作者
Thickening and Gelling Agents for Foodate the unknown concentration . of this substance in the sample. There is a threshold indicator which can detect whether the concentration is at least a known threshold. We consider either the case when the threshold indicator does not affect the tested units and the more difficult case when the thr
42#
發(fā)表于 2025-3-28 21:38:14 | 只看該作者
43#
發(fā)表于 2025-3-29 00:18:35 | 只看該作者
https://doi.org/10.1007/978-94-011-0725-9 is low (high, resp.) for a relativizable class . of languages if it does not add (adds maximal, resp.) power to . when used as an oracle. In this paper we introduce the notions of boolean lowness and boolean highness. Informally, a set is boolean low (boolean high, resp.) for a class . of languages
44#
發(fā)表于 2025-3-29 03:09:12 | 只看該作者
R. F. C. Farrow,S. S. P. Parkin,A. S. ArrottP, coNP, MOD-classes, . . . As these counting classes are defined via subsets of ?., it is natural to ask for the minimum value of ., such that a given class can be defined via such a set. We call this value the inherent dimension of the respective class..The inherent dimension is a very natural con
45#
發(fā)表于 2025-3-29 07:16:28 | 只看該作者
https://doi.org/10.1007/3-540-68535-9Algorthms; Distributed Algorithms; Graph Computations; Switching; algorithms; combinatorics; complexity; co
46#
發(fā)表于 2025-3-29 14:30:30 | 只看該作者
978-3-540-64824-6Springer-Verlag Berlin Heidelberg 1998
47#
發(fā)表于 2025-3-29 17:52:25 | 只看該作者
48#
發(fā)表于 2025-3-29 20:19:48 | 只看該作者
49#
發(fā)表于 2025-3-30 01:36:57 | 只看該作者
50#
發(fā)表于 2025-3-30 06:34:37 | 只看該作者
https://doi.org/10.1007/978-1-84800-009-4 We also show that a tree admits a maximum weight drawing if its internal node connects at most 2 non-leaf nodes. The drawing can be done in .(.) time. Furthermore, we prove a property of maximum planar graphs which do not admit a maximum weight drawing on any set of convex points.
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