   Next: Divide and Conquer Driver Up: Index of LAPACK95 Routines Previous: Driver Routines for generalized

# Driver Routines for Standard Eigenvalue and Singular Value Problems

• CALL LA_SYEV / LA_HEEV ( A, W, JOBZ=jobz, UPLO=uplo, INFO=info )
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric or Hermitian matrix A.
• CALL LA_SPEV / LA_HPEV ( AP, W, UPLO=uplo, Z=z, INFO=info )
Computes all the eigenvalues and, optionally, all eigenvectors of a real symmetric / complex Hermitian matrix A in packed storage.
• CALL LA_SBEV / LA_HBEV ( AB, W, UPLO=uplo, Z=z, INFO=info )
Computes all the eigenvalues and, optionally, all eigenvectors of a real symmetric / complex Hermitian band matrix A.
• CALL LA_STEV ( D, E, Z=z, INFO=info )
Computes all eigenvalues and, optionally, all eigenvectors of a real symmetric tridiagonal matrix A.
• CALL LA_GEES ( A, <w>, VS=vs, SELECT=select, SDIM=sdim, INFO=info )
Computes for a non-symmetric matrix A, the eigenvalues, the Schur form T, and, optionally, the matrix of Schur vectors Z. <w> is either WR, WI or W.
• CALL LA_GEEV ( A, <w>, VL=vl, VR=vr, INFO=info )
Computes for a non-symmetric matrix A, the eigenvalues and, optionally, the left and/or right eigenvectors. <w> is either WR, WI or W.
• CALL LA_GESVD ( A, S, U=u, VT=vt, WW=ww, JOB=job, INFO=job )
Compute the singular values and, optionally, the left and/or right singular vectors from the singular value decomposition (SVD) of a real or complex m by n matrix A.

Back to LAPACK95 Homepage   Next: Divide and Conquer Driver Up: Index of LAPACK95 Routines Previous: Driver Routines for generalized
Minka Marinova 2000-09-07