Reduced-Order Modeling based on Approximated Lax Pairs

Abstract : A reduced-order model algorithm, based on approximations of Lax pairs, is proposed to solve nonlinear evolution partial differential equations. Contrary to other reduced-order methods, like Proper Orthogonal Decomposition, the space where the solution is searched for evolves according to a dynamics specific to the problem. It is therefore well-suited to solving problems with progressive waves or front propagation. Numerical examples are shown for the KdV and FKPP (nonlinear reaction diffusion) equations, in one and two dimensions.
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Reports
[Research Report] RR-8137, 2012, pp.21


https://hal.inria.fr/hal-00752810
Contributor : Jean-Frédéric Gerbeau <>
Submitted on : Friday, November 16, 2012 - 3:01:27 PM
Last modification on : Saturday, November 17, 2012 - 9:12:02 PM

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  • HAL Id : hal-00752810, version 1
  • ARXIV : 1211.4153

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Jean-Frédéric Gerbeau, Damiano Lombardi. Reduced-Order Modeling based on Approximated Lax Pairs. [Research Report] RR-8137, 2012, pp.21. <hal-00752810>

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