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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書目名稱Relational Planning影響因子(影響力)




書目名稱Relational Planning影響因子(影響力)學(xué)科排名




書目名稱Relational Planning網(wǎng)絡(luò)公開度




書目名稱Relational Planning網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Relational Planning被引頻次




書目名稱Relational Planning被引頻次學(xué)科排名




書目名稱Relational Planning年度引用




書目名稱Relational Planning年度引用學(xué)科排名




書目名稱Relational Planning讀者反饋




書目名稱Relational Planning讀者反饋學(xué)科排名

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l errors—among them overgeneralization, arbitrary inference, and selective abstraction. Beck concluded that the negative thinking typical of the depressed patient—his negative bias in interpreting events—might underlie his depressed moods. It followed that correcting this thinking might then improve

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rating machines. In Chapter 9, coherent rings with finite weak global dimensions are probed, and thelocal ring of weak global dimension two is elaborated on by combining homological tricks and methods of star operation theory. Chapter 10 is devoted to the Grothendieck group of a commutative ring. In

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Yvonne Rydin,Lucy Natarajan,Maria Lee,Simon LockL.) 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

DEFT

Marko MarskampL.) 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

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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