Jacobian Matrix Approximation
Jacobian Matrix Approximation is a numerical method that estimates the Jacobian matrix of a multivariable function by finite differences or other computational techniques to facilitate convergence in iterative solvers when exact derivatives are unavailable or costly to compute.
398
Publications
20.7K
Citations
1K
Authors
483
Institutions
Publications per year
2017–2026
82
Parents
398
1–5 of 398
1K
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483

Centre National de la Recherche Scientifique
Paris, France
8 h-index
19 publications
634 citations

Kyoto University
Kyoto, Japan
7 h-index
12 publications
1.5K citations
Nanyang Technological University
Singapore, Singapore
6 h-index
7 publications
484 citations
University College London
London, United Kingdom
5 h-index
8 publications
236 citations
Tsinghua University
Beijing, China
5 h-index
16 publications
358 citations
Ritsumeikan University
Kyoto, Japan
5 h-index
13 publications
2.3K citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
5 h-index
6 publications
94 citations

University of Manchester
Manchester, United Kingdom
5 h-index
12 publications
345 citations
1–8 of 483
12 publications · 779 citations
12
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12 publications · 1.8K citations
11
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MCOM · 9 publications · 636 citations
9
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9 publications · 518 citations
9
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8 publications · 656 citations
8
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