Adaptive simplification of complex multiscale systems
Adaptive simplification of complex multiscale systems
A fully adaptive methodology is developed for reducing the complexity of large dissipative systems. This represents a significant step toward extracting essential physical knowledge from complex systems, by addressing the challenging problem of a minimal number of variables needed to exactly capture the system dynamics. Accurate reduced description is achieved, by construction of a hierarchy of slow invariant manifolds, with an embarrassingly simple implementation in any dimension. The method is validated with the autoignition of the hydrogen-air mixture where a reduction to a cascade of slow invariant manifolds is observed
036706-[10 pp]
Chiavazzo, Eliodoro
dce5b8a7-3d53-4448-8863-6f7eda9b669d
Karlin, Illya
5fb05ddf-5084-43b3-986b-81efe44a3230
March 2011
Chiavazzo, Eliodoro
dce5b8a7-3d53-4448-8863-6f7eda9b669d
Karlin, Illya
5fb05ddf-5084-43b3-986b-81efe44a3230
Abstract
A fully adaptive methodology is developed for reducing the complexity of large dissipative systems. This represents a significant step toward extracting essential physical knowledge from complex systems, by addressing the challenging problem of a minimal number of variables needed to exactly capture the system dynamics. Accurate reduced description is achieved, by construction of a hierarchy of slow invariant manifolds, with an embarrassingly simple implementation in any dimension. The method is validated with the autoignition of the hydrogen-air mixture where a reduction to a cascade of slow invariant manifolds is observed
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RRM-ChiavazzoKarlin-PRE-2011.pdf
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Published date: March 2011
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Local EPrints ID: 185737
URI: http://eprints.soton.ac.uk/id/eprint/185737
ISSN: 1539-3755
PURE UUID: e62a0052-34b0-4105-b610-c666fcf22e3b
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Date deposited: 11 May 2011 08:09
Last modified: 14 Mar 2024 03:15
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Author:
Eliodoro Chiavazzo
Author:
Illya Karlin
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