Multi-element Polynomial Chaos
Multi-Element Polynomial Chaos is a stochastic spectral method that decomposes the probability space into multiple elements to locally approximate random variables using polynomial chaos expansions, thereby enhancing accuracy in capturing non-Gaussian and discontinuous stochastic responses.
19
Publications
1.6K
Citations
44
Authors
27
Institutions
Publications per year
2017–2026
5
Variants
Mepc
Parents
19
1–5 of 19
44
7
h-index
5
h-index
3
h-index
2
h-index
1
h-index
1–5 of 44
27
Brown University
Providence, United States
5 h-index
8 publications
2.3K citations
Louisiana State University
Baton Rouge, United States
3 h-index
5 publications
153 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
6 publications
202 citations
John Brown University
Siloam Springs, United States
2 h-index
3 publications
84 citations
Institut National des Sciences Appliquées Centre Val de Loire
Blois, France
2 h-index
4 publications
56 citations
Université de Tours
Tours, France
2 h-index
4 publications
56 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
3 publications
53 citations
Centre Val de Loire
Tours, France
2 h-index
4 publications
56 citations
1–8 of 27
2 publications · 98 citations
2
h-index
2 publications · 537 citations
2
h-index
2 publications · 91 citations
2
h-index
1 publications · 18 citations
1
h-index
1 publications · 22 citations
1
h-index
1–5