A General Framework of Rotational Sparse Approximation in Uncertainty Quantification-Reference-Cited by-同舟云学术

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A General Framework of Rotational Sparse Approximation in Uncertainty Quantification

Published:2022-10-27 Issue:4 Volume:10 Page:1410-1434
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Hu Mengqi¹,Lou Yifei²^ORCID,Yang Xiu³^ORCID

Affiliation:

1. Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA 18015 USA ().

2. Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX 75080 USA ().

3. Corresponding author. Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA 18015 USA ().

Funder

National Science Foundation

U.S. Department of Energy

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference72 articles.

1. Compressed Sensing Approaches for Polynomial Approximation of High-Dimensional Functions

2. Divide and conquer: An incremental sparsity promoting compressive sampling approach for polynomial chaos expansions

3. A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

4. Certifying the Restricted Isometry Property is Hard

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