Galerkin Approximation
Galerkin Approximation is a numerical method in the broader class of projection methods for solving differential equations, distinguished by its use of weighted residuals orthogonal to a finite-dimensional subspace of the solution space to approximate weak solutions.
3.2K
Publications
156.9K
Citations
5.2K
Authors
1.6K
Institutions
Publications per year
2017–2026
654
Variants
Galerkin Method
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Brown University
Providence, United States
42 h-index
96 publications
8K citations
The University of Texas at Austin
Austin, United States
33 h-index
111 publications
9.7K citations

Centre National de la Recherche Scientifique
Paris, France
29 h-index
117 publications
5.3K citations

Shanghai University
Shanghai, China
26 h-index
79 publications
4.3K citations

Cornell University
Ithaca, United States
24 h-index
62 publications
5.1K citations
Amirkabir University of Technology
Tehran, Iran
23 h-index
55 publications
2.3K citations
ETH Zurich
Zurich, Switzerland
22 h-index
40 publications
2.2K citations
Virginia Tech
Blacksburg, United States
22 h-index
53 publications
5.3K citations
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192 publications · 18.2K citations
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178 publications · 10.3K citations
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124 publications · 10.4K citations
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MCOM · 118 publications · 9.7K citations
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82 publications · 8K citations
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