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multidimenstional minimization without df.


Hi,

I'd like to locate the minimum point of a function f(x_i) of n variables x_i. It's very non trivial to calculate the df/dx_i. Can I use conjugate gradian method without this df(x_i) information ?

This page in the manual http://www.gnu.org/software/gsl/manual/html_node/Multimin-Algorithms.html

doesn't list gsl_multimin_fminimizer_conjugate_fr as a type of minimizer. It has
gsl_multimin_fdfminimizer_conjugate_fr
but no
gsl_multimin_fminimizer_conjugate_fr


Any help would be appreciated.

Thanks,
Toan


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