2007
DOI: 10.1016/j.simpat.2007.08.006
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Modeling physical systems using finite element Cell-DEVS

Abstract: 8We propose a method to analyze complex physical systems using two-dimensional Cell-DEVS models. These problems 9 are usually modeled with one or more Partial Differential Equations and solved using numerical methods. Our goal is to 10 improve the definition of such problems by mapping them into the Cell-DEVS formalism, which permits easy integration 11 with models defined with other formalisms, and its definition using advanced modeling and simulation tools. To show this, 12 we used two methods for solving… Show more

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Cited by 5 publications
(3 citation statements)
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“…61 Other extensions included extending Cell-DEVS for quantum dot computing, computational fluid dynamics, 62 and finite element and finite differences methods. 63 The Cell-DEVS formal specifications allowed us to define a variety of simulation algorithms in different environments, which include parallel simulation using conservative approaches, 64,65 optimistic algorithms, multi-core architectures, and using multi-coarse-grained parallelism. [66][67][68][69] All the models can also be executed in distributed fashion using a variety of distributed middleware algorithms.…”
Section: Introductionmentioning
confidence: 99%
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“…61 Other extensions included extending Cell-DEVS for quantum dot computing, computational fluid dynamics, 62 and finite element and finite differences methods. 63 The Cell-DEVS formal specifications allowed us to define a variety of simulation algorithms in different environments, which include parallel simulation using conservative approaches, 64,65 optimistic algorithms, multi-core architectures, and using multi-coarse-grained parallelism. [66][67][68][69] All the models can also be executed in distributed fashion using a variety of distributed middleware algorithms.…”
Section: Introductionmentioning
confidence: 99%
“…The Cell-DEVS formalism has been used for modeling and simulation of varied phenomena, 811 based on our work with Norbert and our original discussions. This non-comprehensive list can be classified in various areas: traffic, 1216 physics, 17–19 environmental modeling, 19–25 networking, 2629 architecture and construction, 30–34 biology and medicine, 35–39 defense and emergency planning, 4048 social models, 48–50 crowd modeling, 51…”
Section: Introductionmentioning
confidence: 99%
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