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Titlebook: Relational Planning; Tracing Artefacts, A Monika Kurath,Marko Marskamp,Jean Ruegg Book 2018 The Editor(s) (if applicable) and The Author(s)

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11#
發(fā)表于 2025-3-23 12:42:58 | 只看該作者
Jonathan Metzgernvex m-gon Q and a triangulated simple n-gon P in time O(n+m). This improves a result by Shamos [Sh] stating that the intersection of two convex polygons can be computed in time O(n)..b) Given the triangulation of a simple n-gon P, we show how to compute in time O(n) a convex decomposition of P into
12#
發(fā)表于 2025-3-23 17:23:16 | 只看該作者
13#
發(fā)表于 2025-3-23 18:42:41 | 只看該作者
Guillén Hiram Torres SepúlvedaL.) coincides with the class VBQ of all languages acceptable in linear time by visit-bounded nondeterministic multitape Turing machines. Furthermore, the VBQ languages can already be accepted by nondeterministic realtime machines having only three pushdown stores and working with at most 3 visits (o
14#
發(fā)表于 2025-3-23 23:58:06 | 只看該作者
Ignacio Faríasnvex m-gon Q and a triangulated simple n-gon P in time O(n+m). This improves a result by Shamos [Sh] stating that the intersection of two convex polygons can be computed in time O(n)..b) Given the triangulation of a simple n-gon P, we show how to compute in time O(n) a convex decomposition of P into
15#
發(fā)表于 2025-3-24 03:29:27 | 只看該作者
nvex m-gon Q and a triangulated simple n-gon P in time O(n+m). This improves a result by Shamos [Sh] stating that the intersection of two convex polygons can be computed in time O(n)..b) Given the triangulation of a simple n-gon P, we show how to compute in time O(n) a convex decomposition of P into
16#
發(fā)表于 2025-3-24 08:25:35 | 只看該作者
17#
發(fā)表于 2025-3-24 13:57:02 | 只看該作者
Julio Paulosfor - proximation reasoning. The Volume is divided into 2 parts: Part-I: Approximate Reasoning – Theoretical Foundations Part-II: Approximate Reasoning – Success Stories and Real World Applications Part I on Approximate Reasoning – Theoretical Foundations contains four ch- ters that describe several
18#
發(fā)表于 2025-3-24 18:38:22 | 只看該作者
19#
發(fā)表于 2025-3-24 20:55:39 | 只看該作者
nimizing the total execution time (schedule length) and the second one is concerned with the load balance satisfaction. The second developed genetic algorithm is based on task duplication technique to overcome the communication overhead. Our proposed algorithms have been implemented and evaluated us
20#
發(fā)表于 2025-3-24 23:33:19 | 只看該作者
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