Global sensitivity analysis with limited data via sparsity-promoting D-MORPH regression: Application to char combustion-Reference-Cited by-同舟云学术

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Global sensitivity analysis with limited data via sparsity-promoting D-MORPH regression: Application to char combustion

Published:2024-08 Issue: Volume:511 Page:113116
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Lee Dongjin^ORCID,Lavichant Elle,Kramer Boris

Funder

Korea Institute for Advancement of Technology

Publisher

Elsevier BV

Reference38 articles.

1. Global sensitivity analysis and uncertainty quantification for background solar wind using the Alfvén wave solar atmosphere model;Jivani;Space Weather,2023

2. Bayesian inference and global sensitivity analysis for ambient solar wind prediction;Issan;Space Weather,2023

3. Global sensitivity analysis challenges in biological systems modeling;Kiparissides;Ind. Eng. Chem. Res.,2009

4. Bayesian parameter estimation for dynamical models in systems biology;Linden;PLoS Comput. Biol.,2022

5. Global sensitivity analysis in stability problems of steel frame structures;Kala;J. Civ. Eng. Manag.,2016

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