1992
DOI: 10.1007/3-540-55676-1_20
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On weighted T-systems

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Cited by 81 publications
(72 citation statements)
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“…They proved necessary and sufficient conditions for liveness and strict boundedness in their model. Their results as well as those in [19] correspond to those presented in this paper.…”
Section: Related Worksupporting
confidence: 92%
See 1 more Smart Citation
“…They proved necessary and sufficient conditions for liveness and strict boundedness in their model. Their results as well as those in [19] correspond to those presented in this paper.…”
Section: Related Worksupporting
confidence: 92%
“…In particular, [19] gives necessary and sufficient conditions for strict boundedness of live weighted Marked Graphs (our Theorem 25). Strict boundedness is also the only kind of boundedness which has been investigated formally in the literature on SDFGs themselves; Karp and Miller in their seminal paper [10] introduced computation graphs, which are slightly more general than SDFGs.…”
Section: Related Workmentioning
confidence: 99%
“…Rougthly speaking, for any circuit c of a MTWEG, W (c) can be viewed as the production rate of tokens on c. So, if W (c) < 1 for a given circuit, the number of tokens on this circuit decreases after a finite firing sequence and therefore it leads to a deadlock situation [9], [10].…”
Section: B the Normalization Stepmentioning
confidence: 99%
“…Up to now, the time complexity of all the algorithms developed to answer these two fundamental questions is exponential in the worst case [9], [10]. The consequence is that the optimization problems on MTWEG are possibly not in N P : the evaluation of the feasible solutions is not possible in polynomial time, which limits dramatically the existence of efficient algorithms.…”
Section: Introduction and Related Workmentioning
confidence: 99%
“…Up to now, the time complexity of all the algorithms developed to answer these two fundamental questions is exponential in the worst case [11], [12]. The consequence is that the optimization problems on MTWEG are possibly not in N P : the evaluation of the feasible solutions is not possible in polynomial time, which limits dramatically the existence of efficient algorithms.…”
Section: Introductionmentioning
confidence: 99%