载货清单
发表于 2025-3-25 06:38:20
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Osteons
发表于 2025-3-25 10:26:22
Performance issues in parallel programming, parallel application on the computational units of a parallel architecture. A simple example is used throughout the paper to illustrate the different steps of the methodology and to show how these GSPN models can be used to check the efficiency of a parallel application.
妈妈不开心
发表于 2025-3-25 12:33:32
Obtaining deadlock-preserving skeletons for coloured nets,me behaviour as the original . with a deadlock-preserving skeleton. Consequently, all deadlocks of the original net may be detected via this skeleton. Moreover, the refolding transformation is optimal, in the sense that this skeleton is as small as possible.
Axillary
发表于 2025-3-25 17:50:45
0302-9743 in June 1992.The aim of the Petri net conferences is to create aforum for discussing progress in the application and theoryof Petri nets. Typically, the conferences have 150-200participants, one third of these coming from industry andthe rest from universities and research institutions.The1992 confe
银版照相
发表于 2025-3-25 23:15:59
,The diophantine equation x3 − y2 = r, LBFC-Net or not. Furthermore the algorithm contains a simple and efficient test to ensure that the initial marking of a LBFC-Net is live. This test is based on a simplified characterization of liveness for LBFC-Nets.
镇痛剂
发表于 2025-3-26 03:17:04
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定点
发表于 2025-3-26 05:52:17
Place bisimulations in Petri nets,s and classify them..The main practical application of place bisimulation is as a method for the simplification of nets in a semantically correct way. We show how this simplification can be done in polynomial time.
sulcus
发表于 2025-3-26 09:58:38
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MINT
发表于 2025-3-26 14:19:11
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浪荡子
发表于 2025-3-26 16:52:50
Concurrency relations and the safety problem for Petri nets,ng. Irreflexiveness of this relation proves to be the sufficient condition of safety of ordinary Petri nets and necessary and sufficient condition of safety of live EFC nets. The complexity of this relation computing has a polynomial upper bound of O(X.), where X is the number of vertices of a net.