Model order reduction for random nonlinear dynamical systems and low-dimensional representations for their quantities of interest

DOI10.1016/j.matcom.2019.01.016OpenAlexW2963006454MaRDI QIDQ1997672

Roland Pulch

Publication date: 2 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1704.02284

zbMATH Keywords

nonlinear dynamical systemsorthogonal expansionuncertainty quantificationmodel order reductionstochastic Galerkin methodstochastic collocation method

Mathematics Subject Classification ID

Numerical approximation and computational geometry (primarily algorithms) (65Dxx) Numerical linear algebra (65Fxx) Numerical methods for ordinary differential equations (65Lxx) Nonlinear algebraic or transcendental equations (65Hxx) Error analysis and interval analysis (65Gxx)

Related Items (3)

Time domain model order reduction of discrete-time bilinear systems with Charlier polynomials ⋮ Stability-preserving model order reduction for linear stochastic Galerkin systems ⋮ 10 Model order reduction in uncertainty quantification

Uses Software

• RODAS

Cites Work

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