Multivariate predictions of local reduced-order-model errors and dimensions
From MaRDI portal
Publication:6565197
DOI10.1002/nme.5624zbMATH Open1548.65249MaRDI QIDQ6565197
Răzvan Ştefănescu, Azam Moosavi, Adrian Sandu
Publication date: 1 July 2024
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Analysis of a complex of statistical variables into principal components.
- Stochastic systems. Uncertainty quantification and propagation
- Second-order adjoint sensitivity analysis methodology (2nd-ASAM) for computing exactly and efficiently first- and second-order sensitivities in large-scale linear systems. I: Computational methodology
- Second-order adjoint sensitivity analysis methodology (2nd-ASAM) for computing exactly and efficiently first- and second-order sensitivities in large-scale linear systems. II: Illustrative application to a paradigm particle diffusion problem
- Reduced basis approximation and a posteriori error estimation for the time-dependent viscous Burgers' equation
- Optimal control of the cylinder wake in the laminar regime by trust-region methods and POD reduced-order models
- Error estimates for abstract linear-quadratic optimal control problems using proper orthogonal decomposition
- Reduced basis approximation and a posteriori error estimation for affinely parametrized elliptic coercive partial differential equations. Application to transport and continuum mechanics.
- Reduced order models based on local POD plus Galerkin projection
- An `empirical interpolation' method: Application to efficient reduced-basis discretization of partial differential equations
- A method for generating rational interpolant reduced order models of two-parameter linear systems
- Model reduction for compressible flows using POD and Galerkin projection
- Certified PDE-constrained parameter optimization using reduced basis surrogate models for evolution problems
- Certified reduced basis approximation for parametrized partial differential equations and applications
- Monte Carlo and quasi-Monte Carlo sampling
- A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
- Parameter multi-domain ‘hp ’ empirical interpolation
- Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces
- The ROMES Method for Statistical Modeling of Reduced-Order-Model Error
- The estimation of functional uncertainty using polynomial chaos and adjoint equations
- System reduction strategy for Galerkin models of fluid flows
- Spectral Methods for Uncertainty Quantification
- Estimation of the Error in the Reduced Basis Method Solution of Nonlinear Equations
- Turbulence and the dynamics of coherent structures. I. Coherent structures
- A New Look at Proper Orthogonal Decomposition
- Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics
- A posteriorierror bounds for reduced-basis approximations of parametrized parabolic partial differential equations
- MODEL REDUCTION FOR FLUIDS, USING BALANCED PROPER ORTHOGONAL DECOMPOSITION
- Localized Discrete Empirical Interpolation Method
- Reduced basis method for finite volume approximations of parametrized linear evolution equations
- Error Estimation for Reduced-Order Models of Dynamical Systems
- Galerkin proper orthogonal decomposition methods for parabolic problems
This page was built for publication: Multivariate predictions of local reduced-order-model errors and dimensions