Computing Numerical Derivatives, Gradients and Jacobians

This subroutine computes approximate gradient vectors and Jacobian matrices of vector functions f(y) in several variables.  This routine is used to compute approximate derivatives for problems where only function information is available.  To approximate a scalar derivative function, consider it an equivalent 1 x 1 Jacobian matrix.  Either one-sided or central differences can be used.
This software is part of the MATH77/mathc90 collection here.

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