JAKEF: a portable symbolic differentiator of functions given by algorithms. JAKEF is a compiler that accepts as data a single or double precision FORTRAN subroutine program defining an objective function F(x) or a vector function f(x) and produces as output a single or double precision FORTRAN program defining the gradient of F(x) or the jacobian of f(x).
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References in zbMATH (referenced in 8 articles )
Showing results 1 to 8 of 8.
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- Villard, D.; Arnaldi, B.: Symbolic differentiation library for simulation of multibody rigid systems. (1996)
- Dobmann, M.; Liepelt, M.; Schittkowski, K.: Algorithm 746: PCOMP: A Fortran code for automatic differentiation (1995)
- Beck, Thomas: Automatic differentiation of iterative processes (1994)
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- Juedes, David W.: A taxonomy of automatic differentiation tools (1991)
- Arbenz, P.; Gander, W.: Solving nonlinear eigenvalue problems by algorithmic differentiation (1986)