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Adaptive simplification of complex multiscale systems

By Eliodoro Chiavazzo and Illya Karlin

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 observe

Topics: TA
Year: 2011
OAI identifier: oai:eprints.soton.ac.uk:185737
Provided by: e-Prints Soton

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