From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (qmail 14468 invoked by alias); 22 Jan 2008 17:26:45 -0000 Received: (qmail 4810 invoked by uid 22791); 22 Jan 2008 14:06:37 -0000 X-Spam-Check-By: sourceware.org Message-ID: <4795F855.6010105@physics.gatech.edu> Date: Tue, 22 Jan 2008 17:26:00 -0000 From: Toan T Nguyen User-Agent: Thunderbird 2.0.0.6 (X11/20071022) MIME-Version: 1.0 To: gsl-discuss@sources.redhat.com Subject: multidimenstional minimization without df. Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit Mailing-List: contact gsl-discuss-help@sourceware.org; run by ezmlm Precedence: bulk List-Id: List-Subscribe: List-Archive: List-Post: List-Help: , Sender: gsl-discuss-owner@sourceware.org X-SW-Source: 2008-q1/txt/msg00019.txt.bz2 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