Stability Preservation in Stochastic Galerkin Projections of Dynamical Systems
DOI10.1137/17M1142223zbMath1440.65275arXiv1708.00958OpenAlexW2964307396WikidataQ127806112 ScholiaQ127806112MaRDI QIDQ5237171
Florian Augustin, Roland Pulch
Publication date: 17 October 2019
Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1708.00958
Stability and convergence of numerical methods for ordinary differential equations (65L20) Numerical solutions to stochastic differential and integral equations (65C30) Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations (65L60) Numerical methods for Hamiltonian systems including symplectic integrators (65P10)
Related Items (7)
Cites Work
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- Numerical solution of generalized Lyapunov equations
- Stochastic Galerkin techniques for random ordinary differential equations
- Sensitivity analysis and model order reduction for random linear dynamical systems
- Stochastic collocation and stochastic Galerkin methods for linear differential algebraic equations
- Stability preservation in Galerkin-type projection-based model order reduction
- Lyapunov matrix equations in system stability and control.
- Practical bifurcation and stability analysis
- On the convergence of generalized polynomial chaos expansions
- Introduction to Uncertainty Quantification
- Eigenvalues of the Jacobian of a Galerkin-Projected Uncertain ODE System
- Solving Ordinary Differential Equations I
- POLYNOMIAL CHAOS FOR LINEAR DIFFERENTIAL ALGEBRAIC EQUATIONS WITH RANDOM PARAMETERS
- Polynomial chaos for the approximation of uncertainties: Chances and limits
- Numerical Solution of the Stable, Non-negative Definite Lyapunov Equation Lyapunov Equation
- Solving Parameter-Dependent Lyapunov Equations Using the Reduced Basis Method with Application to Parametric Model Order Reduction
- Algorithm 432 [C2: Solution of the matrix equation AX + XB = C [F4]]
- Stochastic Galerkin Methods for Analyzing Equilibria of Random Dynamical Systems
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