Jacobian Approximation
Jacobian Approximation is a numerical method used in root-finding algorithms to estimate the Jacobian matrix of a multivariate vector-valued function when exact derivatives are unavailable or computationally prohibitive, typically by finite-difference or secant-based techniques.
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2017–2026
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Andreas Griewank, David Juedes, Jean Utke · ACM Transactions on Mathematical Software · 1996 · 745 citations · Full text
Computing in the Jacobian of a hyperelliptic curve
David G. Cantor · Mathematics of Computation · 1987 · 392 citations · Full text
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Wrocław University of Science and Technology
Wroclaw, Poland
7 h-index
16 publications
392 citations
Technische Universität Dresden
Dresden, Germany
5 h-index
8 publications
1.6K citations

Bayero University Kano
Kano, Nigeria
5 h-index
7 publications
93 citations
Los Alamos National Laboratory
Los Alamos, United States
4 h-index
4 publications
2K citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
4 h-index
5 publications
82 citations

University of British Columbia
Vancouver, Canada
3 h-index
4 publications
293 citations
University of Stuttgart
Stuttgart, Germany
3 h-index
5 publications
635 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
5 publications
370 citations
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13 publications · 684 citations
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MCOM · 10 publications · 993 citations
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Repository · 6 publications · 122 citations
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TOMS · 5 publications · 897 citations
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