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Modern Fortran Numerical Differentiation Library

NumDiff provides a modern Fortran interface for computing the Jacobian (derivative) matrix of m nonlinear functions which depend on n variables. The Jacobian matrix is required for various applications, including numerical optimization. It can also be used to test the accuracy of gradients computed by other means. The library also provides for computing the sparsity of this matrix, and returning the Jacobian in sparse or dense form.

Version: 1.8.0 License: BSD

GitHub

Maintainers	barracuda156
Categories	math fortran
Homepage	https://github.com/jacobwilliams/NumDiff
Platforms	darwin
Variants	gcc10 (Build using the MacPorts gcc 10 compiler) gcc11 (Build using the MacPorts gcc 11 compiler) gcc12 (Build using the MacPorts gcc 12 compiler) gcc13 (Build using the MacPorts gcc 13 compiler) gccdevel (Build using the MacPorts gcc devel compiler)

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