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A systems-based approach to multiscale computation: Equation-free detection of coarse-grained bifurcations

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dc.contributor.author Siettos, CI en
dc.contributor.author Rico-Martinez, R en
dc.contributor.author Kevrekidis, IG en
dc.date.accessioned 2014-03-01T01:23:31Z
dc.date.available 2014-03-01T01:23:31Z
dc.date.issued 2006 en
dc.identifier.issn 0098-1354 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/16997
dc.subject Bifurcation en
dc.subject Equation-free en
dc.subject Multiscale en
dc.subject.classification Computer Science, Interdisciplinary Applications en
dc.subject.classification Engineering, Chemical en
dc.subject.other Algorithms en
dc.subject.other Bifurcation (mathematics) en
dc.subject.other Catalysis en
dc.subject.other Computation theory en
dc.subject.other Computer simulation en
dc.subject.other Mathematical models en
dc.subject.other Reaction kinetics en
dc.subject.other Bifurcation algorithms en
dc.subject.other Coarse grained bifurcations en
dc.subject.other Computational experiments en
dc.subject.other Equation free detection en
dc.subject.other Large scale systems en
dc.subject.other Algorithms en
dc.subject.other Bifurcation (mathematics) en
dc.subject.other Catalysis en
dc.subject.other Computation theory en
dc.subject.other Computer simulation en
dc.subject.other Large scale systems en
dc.subject.other Mathematical models en
dc.subject.other Reaction kinetics en
dc.title A systems-based approach to multiscale computation: Equation-free detection of coarse-grained bifurcations en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.compchemeng.2006.05.019 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.compchemeng.2006.05.019 en
heal.language English en
heal.publicationDate 2006 en
heal.abstract We discuss certain basic features of the equation-free (EF) approach to modeling and computation for complex/multiscale systems. We focus on links between the equation-free approach and tools from systems and control theory (design of experiments, data analysis, estimation, identification and feedback). As our illustrative example, we choose a specific numerical task (the detection of stability boundaries in parameter space) for stochastic models of two simplified heterogeneous catalytic reaction mechanisms. In the equation-free framework the stochastic simulator is treated as an experiment (albeit a computational one). Short bursts of fine scale simulation (short computational experiments) are designed, executed, and their outputs processed and fed back to the process, in integrated protocols aimed at performing the particular coarse-grained task (the detection of a macroscopic instability). Two distinct approaches are presented; one is a direct translation of our previous protocol for adaptive detection of instabilities in laboratory experiments [Rico-Martinez, R., Krisher, K., Flatgen, G., Anderson, J. S., & Kevrekidis, I. G. (2003). Adaptive detection of instabilities: An experimental feasibility study. Physica D, 176, 1-18]; the second approach is motivated from numerical bifurcation algorithms for critical point detection. A comparison of the two approaches brings forth a key feature of equation-free computation: computational experiments can be easily initialized at will, in contrast to laboratory ones. (c) 2006 Elsevier Ltd. All rights reserved. en
heal.publisher PERGAMON-ELSEVIER SCIENCE LTD en
heal.journalName Computers and Chemical Engineering en
dc.identifier.doi 10.1016/j.compchemeng.2006.05.019 en
dc.identifier.isi ISI:000240794000019 en
dc.identifier.volume 30 en
dc.identifier.issue 10-12 en
dc.identifier.spage 1632 en
dc.identifier.epage 1642 en


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