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樓主: Daidzein
11#
發(fā)表于 2025-3-23 13:25:37 | 只看該作者
12#
發(fā)表于 2025-3-23 14:24:14 | 只看該作者
13#
發(fā)表于 2025-3-23 19:54:40 | 只看該作者
Harry Bouwman,Henny Vos,Timber Haakerr approach to the single pushout approach (SPO), where dangling edges are deleted, but we first adapt the rule in order to take into account any deleted edge. To this end, a notation borrowed from functional analysis is used. We study the conditions under which the calculated data at specification time can be used when the match is considered.
14#
發(fā)表于 2025-3-24 01:00:55 | 只看該作者
Amy Neustein,Judith A. Markowitzin . style, of the labelled transition system associated to a graph transformation system. As a special case we show how an ordinary DPO transformation on a global system state can be decomposed into local DPO transformations with borrowed context using the same production.
15#
發(fā)表于 2025-3-24 05:15:17 | 只看該作者
16#
發(fā)表于 2025-3-24 09:53:39 | 只看該作者
17#
發(fā)表于 2025-3-24 12:09:23 | 只看該作者
Narrowing Data-Structures with Pointers to synthesize, through the narrowing process, data-structures with circular shapes. In a second step, we define the rewriting and narrowing relations. We then show the soundness and completeness of narrowing.
18#
發(fā)表于 2025-3-24 16:12:34 | 只看該作者
19#
發(fā)表于 2025-3-24 21:33:59 | 只看該作者
Composition and Decomposition of DPO Transformations with Borrowed Contextin . style, of the labelled transition system associated to a graph transformation system. As a special case we show how an ordinary DPO transformation on a global system state can be decomposed into local DPO transformations with borrowed context using the same production.
20#
發(fā)表于 2025-3-25 00:39:14 | 只看該作者
Process Bisimulation , a Graphical Encodingr paper focuses on the analysis of the . distilled by exploiting the encoding of . processes: besides offering some technical contributions towards the simplification of the . mechanism, the key result of our work is the proof that the bisimilarity on processes obtained via .s coincides with the standard strong bisimilarity for ..
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