From mboxrd@z Thu Jan 1 00:00:00 1970 From: "Dan, Ho-Jin" To: gsl-discuss@sources.redhat.com Subject: gsl optimization routines Date: Wed, 19 Dec 2001 13:20:00 -0000 Message-id: <3BF64CAE.6040900@sys713.kaist.ac.kr> X-SW-Source: 2001/msg00708.html Hi there, I installed the gsl library and found that there are missing features of the optimization, i.e., It can't handle the constraints. So I carefully consider filling the missing routines such as SQP, the method of the feasible directions etc. If there are not on going project on optimization I will start hack the code. But I can't guarantee the efficieny and robustness of the algoritm at the first time. moreover, my english is poor so that the manual from the work must be reviewed by someone else. Is there any suggestion ? From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (qmail 9850 invoked by alias); 17 Nov 2001 11:40:59 -0000 Mailing-List: contact gsl-discuss-help@sourceware.cygnus.com; run by ezmlm Precedence: bulk List-Subscribe: List-Archive: List-Post: List-Help: , Sender: gsl-discuss-owner@sources.redhat.com Received: (qmail 9836 invoked from network); 17 Nov 2001 11:40:58 -0000 Received: from unknown (HELO sys713.kaist.ac.kr) (143.248.51.23) by sourceware.cygnus.com with SMTP; 17 Nov 2001 11:40:58 -0000 Received: (qmail 18899 invoked from network); 17 Nov 2001 11:37:13 -0000 Received: from casad13.kaist.ac.kr (HELO sys713.kaist.ac.kr) (143.248.59.74) by 0 with SMTP; 17 Nov 2001 11:37:13 -0000 Message-ID: <3BF64CAE.6040900@sys713.kaist.ac.kr> Date: Wed, 14 Nov 2001 05:34:00 -0000 From: "Dan, Ho-Jin" User-Agent: Mozilla/5.0 (X11; U; Linux i686; en-US; rv:0.9.5) Gecko/20011012 X-Accept-Language: ko, en-us MIME-Version: 1.0 To: gsl-discuss@sources.redhat.com Subject: gsl optimization routines Content-Type: text/plain; charset=us-ascii; format=flowed Content-Transfer-Encoding: 7bit X-SW-Source: 2001-q4/txt/msg00032.txt.bz2 Message-ID: <20011114053400.7sJdAT84d9PjFJUT4N4ZCUC-9AUDfihCjo9E3tjzVtc@z> Hi there, I installed the gsl library and found that there are missing features of the optimization, i.e., It can't handle the constraints. So I carefully consider filling the missing routines such as SQP, the method of the feasible directions etc. If there are not on going project on optimization I will start hack the code. But I can't guarantee the efficieny and robustness of the algoritm at the first time. moreover, my english is poor so that the manual from the work must be reviewed by someone else. Is there any suggestion ?