Exploration of efficient reduced‐order modeling and a posteriori error estimation-Reference-Cited by-同舟云学术

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Exploration of efficient reduced‐order modeling and a posteriori error estimation

Published:2017-01-16 Issue:2 Volume:111 Page:103-122
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int. J. Numer. Meth. Engng

Author:

Chaudhry J.H.¹,Estep D.²,Gunzburger M.³

Affiliation:

1. Department of Mathematics and Statistics The University of New Mexico Albuquerque 87131 USA

2. Department of Statistics Colorado State University Fort Collins 80523 CO USA

3. Department of Scientific Computing Florida State University Tallahassee 32306 FL USA

Funder

U.S. Department of Energy

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.5453

Reference38 articles.

1. A Posteriori Analysis and Adaptive Error Control for Multiscale Operator Decomposition Solution of Elliptic Systems I: Triangular Systems

2. Reduced Basis Technique for Nonlinear Analysis of Structures

3. Reliable Real-Time Solution of Parametrized Partial Differential Equations: Reduced-Basis Output Bound Methods

4. Galerkin proper orthogonal decomposition methods for parabolic problems

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1. Inverse Problems for Physics-Based Process Models;Annual Review of Statistics and Its Application;2023-08-16

2. Towards adjoint-based mesh refinement for Large Eddy Simulation using reduced-order primal solutions: Preliminary 1D Burgers study;Computer Methods in Applied Mechanics and Engineering;2021-06

3. A posteriori error analysis for Schwarz overlapping domain decomposition methods;BIT Numerical Mathematics;2021-04-28

4. Error estimation of the parametric non-intrusive reduced order model using machine learning;Computer Methods in Applied Mechanics and Engineering;2019-10

5. Enhancing piecewise‐defined surrogate response surfaces with adjoints on sets of unstructured samples to solve stochastic inverse problems;International Journal for Numerical Methods in Engineering;2019-05-02

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