There is a "heev" verb in heev.ijs . It makes EVD of a Hermitian or symmetric matrix. If imaginary part of input matrix is zero, then it calls DSYEV, otherwise it calls ZHEEV. LAPACK's subroutines DSYEV and ZHEEV are more preferred when input matrix has diagonal symmetry.
WBR, Igor On Sunday 19 April 2009 05:27:42 Leigh J. Halliwell wrote: > Dear J Forum: > > If I want the eigendecomposition of a real-valued symmetric matrix, is geev > the preferred function? I see that many LAPACK functions will be > discontinued, and I want to use a function that will be supported in the > foreseeable future. So is there a more efficient and accurate function for > just real, symmetric matrices? Thanks. > > Sincerely, > > Leigh > > Leigh Joseph Halliwell, FCAS, MAAA > Chief Manager > L. J. Halliwell, LLC > P. O. Box 21385 > Chattanooga, TN 37424 > 423-296-2739 > 423-605-5789 cell > 423-954-2772 fax > <BLOCKED::mailto:[email protected]> [email protected] > <blocked::http://www.lhalliwell.com> www.lhalliwell.com > > This communication is intended solely for the use of the individual to whom > or the entity to which it is addressed. It may contain information that is > privileged, confidential, and exempt from disclosure under applicable law. > If you are neither the intended recipient, nor the employee, nor the agent > responsible for delivering the communication to the intended recipient, you > are hereby notified that any dissemination, distribution, or copying of > this communication is strictly prohibited. If you have received this > communication in error, please notify us immediately by telephone or email, > delete the communication from any computer or other electronic storage > media, and destroy all other copies in your possession. ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
