From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (qmail 12464 invoked by alias); 21 Nov 2008 19:00:41 -0000 Received: (qmail 12441 invoked by uid 22791); 21 Nov 2008 19:00:41 -0000 X-Spam-Check-By: sourceware.org Received: from del-static-140-75-7-210.direct.net.in (HELO gatewayserver1.nechclst.in) (210.7.75.140) by sourceware.org (qpsmtpd/0.31) with ESMTP; Fri, 21 Nov 2008 19:00:05 +0000 X-TM-IMSS-Message-ID:<3610ea8900000d63@nechclst.in> Received: from mailserver.nechclst.in ([10.0.0.9]) by nechclst.in ([10.0.0.21]) with ESMTP (TREND IMSS SMTP Service 7.0) id 3610ea8900000d63 ; Fri, 21 Nov 2008 20:15:48 +0530 Content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Subject: Does GSL contains any method to calculate principal eigen vector? Date: Fri, 05 Dec 2008 10:04:00 -0000 Message-ID: <0A8CFEC45B7F4C419F7543867C4744230252B3FB@mailserver.nechclst.in> From: "Ashish Negi" To: 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-q4/txt/msg00029.txt.bz2 Message-ID: <20081205100400.3QbuKstdpu2Au-sorh8pK8tv09dww83W-ijkfjOFyKw@z> I need a function with following detail. Function -=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0= =A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=20 Principal eigen vector calculator=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=20 Description - Function calculates only principal eigen vector and maximum eigen value of = the input matrix. Use -=20 Such functions are very useful in network research areas. Where we have to = deal with sparse matrices and sometimes researchers are required to calcula= te only principal eigen vector of the input general network traffic matrix = or network traffic correlation matrix. Query - May I know any available method for this purpose in GSL? Additionally request - I also want to discuss scope of such function with u= sability and applicability. As I am working in the field of machine learnin= g based data mining, on looking my present state of prototypes, I feel i ca= n contribute something in development of such function but for that I need = guidance. Can anyone give? Thanks and Best regards- Ashish Negi