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Titlebook: Application and Theory of Petri Nets and Concurrency; 36th International C Raymond Devillers,Antti Valmari Conference proceedings 2015 Spri

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期刊全称Application and Theory of Petri Nets and Concurrency
期刊简称36th International C
影响因子2023Raymond Devillers,Antti Valmari
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Application and Theory of Petri Nets and Concurrency; 36th International C Raymond Devillers,Antti Valmari Conference proceedings 2015 Spri
影响因子.This book constitutes the proceedings of the 36th International Conference on Application and Theory of Petri Nets and Concurrency, PETRI NETS 2015, held in Brussels, Belgium, in June 2015..The 12 regular papers and 2 tool papers presented in this volume were carefully reviewed and selected from 34 submissions. In addition the book contains 3 invited talks in full paper length. The papers cover various topics in the field of Petri nets and related models of concurrency..
Pindex Conference proceedings 2015
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Edge Detection and Segmentation,nd this setting. It allows significant savings in the memory representation of markings for both explicit-state and symbolic verification. Five tools already implement the NUPN model, which is also part of the next edition of the Model Checking Contest.
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Edge Detection and Segmentation,stricted StDNs are Turing complete, so these properties are undecidable. We thus use an order on documents, and show that under reasonable restrictions on documents and on the expressiveness of patterns and queries, StDNs are well-structured transition systems, for which coverability, termination and soundness are decidable.
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0302-9743 ETS 2015, held in Brussels, Belgium, in June 2015..The 12 regular papers and 2 tool papers presented in this volume were carefully reviewed and selected from 34 submissions. In addition the book contains 3 invited talks in full paper length. The papers cover various topics in the field of Petri nets
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Edge Detection and Segmentation,.] that compiles a Petri net into an optimised library allowing to compute efficiently its state space or perform LTL model-checking thanks to library SPOT [., .]. This paper describes SNAKES’ structure and features.
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