Module DSPEVD in LAPACK

• LAPACK Information

• Components
  • Fullsource from NETLIB
  • NeededBLAS from ITL
  • Source from NETLIB

DSPEVD

 
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric
matrix in packed storage. If eigenvectors are desired, an divide and conquer alg
is used.
 
Classes  :  D4a1 . Real symmetric matrix eigenvalue problems
 
Type     : Fortran subroutine in LAPACK package.
Access   : Public domain. Portable.
Precision: Double.
 
Usage    : CALL DSPEVD (JOBZ, UPLO, N, AP, W, Z, LDZ, WORK, LWORK, IWORK, LIWORK,
           INFO)
 
Details  : Fullsource NeededBLAS Source
Sites    : (1) ITL (2) NETLIB
 

Implementation of DSPEVD from LAPACK on ITL

 
ITL:       Unix Workstation Network, National Institute of Standards and
           Technology (NIST), Gaithersburg, MD. Available to NIST staff.
 
Precision: Double. (Single: SSPEVD)
 
Access available only to NIST staff on internal Unix systems. They may access this
package provided the /itl tree is cross-mounted.
 
   Access       : f77 -o myprog myprog.f -llapack -lblas
   NeededBLAS   : Can be downloaded from netlib
 

Implementation of DSPEVD from LAPACK on NETLIB

 
NETLIB:    Public access repository, The University of Tennessee at
           Knoxville and Bell Laboratories
 
Precision: Double. (Single: SSPEVD)
 
You may access components from NETLIB outside GAMS as follows.
 
   Source       : See LAPACK Web Page
   Fullsource   : See LAPACK Web Page