determinant of Matrices
Hi, I browsed the document of ublas for a long time and did not find a convenient way to compute the determinant of a matrix. Isn't it a basic function of matrix or did I miss something? And are there functions to compute the singular values/vectors of a matrix? How about the inverse of a square full-rank matrix? btw. what is new in the new boost library version 1.33? Vivid
-----Ursprüngliche Nachricht----- Von: boost-users-bounces@lists.boost.org [mailto:boost-users-bounces@lists.boost.org] Im Auftrag von Vivid Yang Gesendet: Dienstag, 9. August 2005 16:40 An: boost-users@lists.boost.org Betreff: [mailinglist] [Boost-users] determinant of Matrices
Hi,
I browsed the document of ublas for a long time and did not find a convenient way to compute the determinant of a matrix. Isn't it a basic function of matrix or did I miss something?
In general you can use LU-decomposition or QR, as det(A) = det(LU) = det(L)*det(U) or det(A) = det(QR) = det(R) The determinant of L, U, R is the product of the elements on the diagonal. Greetings, Uwe.
Are there existing functions to compute LU, QR
decompositions?
Thanks a lot.
Vivid
--- Uwe Schmitt
-----Ursprüngliche Nachricht----- Von: boost-users-bounces@lists.boost.org [mailto:boost-users-bounces@lists.boost.org] Im Auftrag von Vivid Yang Gesendet: Dienstag, 9. August 2005 16:40 An: boost-users@lists.boost.org Betreff: [mailinglist] [Boost-users] determinant of Matrices
Hi,
I browsed the document of ublas for a long time and did not find a convenient way to compute the determinant of a matrix. Isn't it a basic function of matrix or did I miss something?
In general you can use LU-decomposition or QR, as det(A) = det(LU) = det(L)*det(U) or det(A) = det(QR) = det(R) The determinant of L, U, R is the product of the elements on the diagonal.
Greetings, Uwe.
_______________________________________________ Boost-users mailing list Boost-users@lists.boost.org
http://lists.boost.org/mailman/listinfo.cgi/boost-users
__________________________________________________ Do You Yahoo!? Tired of spam? Yahoo! Mail has the best spam protection around http://mail.yahoo.com
Vivid Yang wrote:
Hi, btw. what is new in the new boost library version 1.33?
Try looking here: http://engineering.meta-comm.com/boost/1_33_0_rc2/ Pablo
participants (4)
-
Pablo Aguilar
-
Uwe Schmitt
-
Vivid Yang
-
yyd_iris@yahoo.com