Derivative-Based Global Sensitivity Analysis for Models with High-Dimensional Inputs and Functional Outputs-Reference-Cited by-同舟云学术

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Derivative-Based Global Sensitivity Analysis for Models with High-Dimensional Inputs and Functional Outputs

Published:2019-01 Issue:6 Volume:41 Page:A3524-A3551
ISSN:1064-8275
Container-title:SIAM Journal on Scientific Computing
language:en
Short-container-title:SIAM J. Sci. Comput.

Author:

Cleaves Helen L.,Alexanderian Alen,Guy Hayley,Smith Ralph C.,Yu Meilin^ORCID

Funder

Air Force Office of Scientific Research

National Science Foundation

University of Maryland, Baltimore County

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics

Link

https://epubs.siam.org/doi/pdf/10.1137/19M1243518

Reference30 articles.

1. On spectral methods for variance based sensitivity analysis

2. Investigation of Biotransport in a Tumor With Uncertain Material Properties Using a Nonintrusive Spectral Uncertainty Quantification Method

3. A Better Bound on the Variance

4. Sensitivity analysis when model outputs are functions

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