Výsledky vyhledávání - "Chaturantabut, Saifon"

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Structure-preserving Model Reduction for Nonlinear Port-Hamiltonian Systems

Autor: Chaturantabut, Saifon, Beattie, Chris, Gugercin, Serkan

This paper presents a structure-preserving model reduction approach applicable to large-scale, nonlinear port-Hamiltonian systems. Structure preservation in the reduction step ensures the retention of port-Hamiltonian structure which, in turn, assure

Externí odkaz: http://arxiv.org/abs/1601.00527

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Akademický článek

Stabilized model reduction for nonlinear dynamical systems through a contractivity-preserving framework

Autor: Chaturantabut Saifon

Publikováno v: International Journal of Applied Mathematics and Computer Science, Vol 30, Iss 4, Pp 615-628 (2020)

This work develops a technique for constructing a reduced-order system that not only has low computational complexity, but also maintains the stability of the original nonlinear dynamical system. The proposed framework is designed to preserve the con

Externí odkaz: https://doaj.org/article/810f84ce5713488f9220e3a543d4dab6

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Nonlinear Parametric Inversion using Interpolatory Model Reduction

Autor: de Sturler, Eric, Gugercin, Serkan, Kilmer, Misha E., Chaturantabut, Saifon, Beattie, Christopher, O'Connell, Meghan

Publikováno v: SIAM Journal on Scientific Computing, Vol. 37, Issue: 3, B495--B517, 2015

Nonlinear parametric inverse problems appear in several prominent applications; one such application is Diffuse Optical Tomography (DOT) in medical image reconstruction. Such inverse problems present huge computational challenges, mostly due to the n

Externí odkaz: http://arxiv.org/abs/1311.0922

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