dsytrd - reduce a real symmetric matrix A to real symmetric tridiagonal form T by an orthogonal similarity transformation
SUBROUTINE DSYTRD(UPLO, N, A, LDA, D, E, TAU, WORK, LWORK, INFO) CHARACTER*1 UPLO INTEGER N, LDA, LWORK, INFO DOUBLE PRECISION A(LDA,*), D(*), E(*), TAU(*), WORK(*) SUBROUTINE DSYTRD_64(UPLO, N, A, LDA, D, E, TAU, WORK, LWORK, INFO) CHARACTER*1 UPLO INTEGER*8 N, LDA, LWORK, INFO DOUBLE PRECISION A(LDA,*), D(*), E(*), TAU(*), WORK(*) F95 INTERFACE SUBROUTINE SYTRD(UPLO, N, A, LDA, D, E, TAU, WORK, LWORK, INFO) CHARACTER(LEN=1) :: UPLO INTEGER :: N, LDA, LWORK, INFO REAL(8), DIMENSION(:) :: D, E, TAU, WORK REAL(8), DIMENSION(:,:) :: A SUBROUTINE SYTRD_64(UPLO, N, A, LDA, D, E, TAU, WORK, LWORK, INFO) CHARACTER(LEN=1) :: UPLO INTEGER(8) :: N, LDA, LWORK, INFO REAL(8), DIMENSION(:) :: D, E, TAU, WORK REAL(8), DIMENSION(:,:) :: A C INTERFACE #include <sunperf.h> void dsytrd(char uplo, int n, double *a, int lda, double *d, double *e, double *tau, int *info); void dsytrd_64(char uplo, long n, double *a, long lda, double *d, dou- ble *e, double *tau, long *info);
Oracle Solaris Studio Performance Library dsytrd(3P) NAME dsytrd - reduce a real symmetric matrix A to real symmetric tridiagonal form T by an orthogonal similarity transformation SYNOPSIS SUBROUTINE DSYTRD(UPLO, N, A, LDA, D, E, TAU, WORK, LWORK, INFO) CHARACTER*1 UPLO INTEGER N, LDA, LWORK, INFO DOUBLE PRECISION A(LDA,*), D(*), E(*), TAU(*), WORK(*) SUBROUTINE DSYTRD_64(UPLO, N, A, LDA, D, E, TAU, WORK, LWORK, INFO) CHARACTER*1 UPLO INTEGER*8 N, LDA, LWORK, INFO DOUBLE PRECISION A(LDA,*), D(*), E(*), TAU(*), WORK(*) F95 INTERFACE SUBROUTINE SYTRD(UPLO, N, A, LDA, D, E, TAU, WORK, LWORK, INFO) CHARACTER(LEN=1) :: UPLO INTEGER :: N, LDA, LWORK, INFO REAL(8), DIMENSION(:) :: D, E, TAU, WORK REAL(8), DIMENSION(:,:) :: A SUBROUTINE SYTRD_64(UPLO, N, A, LDA, D, E, TAU, WORK, LWORK, INFO) CHARACTER(LEN=1) :: UPLO INTEGER(8) :: N, LDA, LWORK, INFO REAL(8), DIMENSION(:) :: D, E, TAU, WORK REAL(8), DIMENSION(:,:) :: A C INTERFACE #include <sunperf.h> void dsytrd(char uplo, int n, double *a, int lda, double *d, double *e, double *tau, int *info); void dsytrd_64(char uplo, long n, double *a, long lda, double *d, dou- ble *e, double *tau, long *info); PURPOSE dsytrd reduces a real symmetric matrix A to real symmetric tridiagonal form T by an orthogonal similarity transformation: Q**T * A * Q = T. ARGUMENTS UPLO (input) = 'U': Upper triangle of A is stored; = 'L': Lower triangle of A is stored. N (input) The order of the matrix A. N >= 0. A (input/output) On entry, the symmetric matrix A. If UPLO = 'U', the leading N-by-N upper triangular part of A contains the upper triangu- lar part of the matrix A, and the strictly lower triangular part of A is not referenced. If UPLO = 'L', the leading N- by-N lower triangular part of A contains the lower triangular part of the matrix A, and the strictly upper triangular part of A is not referenced. On exit, if UPLO = 'U', the diagonal and first superdiagonal of A are overwritten by the corre- sponding elements of the tridiagonal matrix T, and the ele- ments above the first superdiagonal, with the array TAU, rep- resent the orthogonal matrix Q as a product of elementary reflectors; if UPLO = 'L', the diagonal and first subdiagonal of A are over- written by the corresponding elements of the tridiagonal matrix T, and the elements below the first subdi- agonal, with the array TAU, represent the orthogonal matrix Q as a product of elementary reflectors. See Further Details. LDA (input) The leading dimension of the array A. LDA >= max(1,N). D (output) The diagonal elements of the tridiagonal matrix T: D(i) = A(i,i). E (output) The off-diagonal elements of the tridiagonal matrix T: E(i) = A(i,i+1) if UPLO = 'U', E(i) = A(i+1,i) if UPLO = 'L'. TAU (output) The scalar factors of the elementary reflectors (see Further Details). WORK (workspace) On exit, if INFO = 0, WORK(1) returns the optimal LWORK. LWORK (input) The dimension of the array WORK. LWORK >= 1. For optimum performance LWORK >= N*NB, where NB is the optimal blocksize. If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this value as the first entry of the WORK array, and no error message related to LWORK is issued by XERBLA. INFO (output) = 0: successful exit < 0: if INFO = -i, the i-th argument had an illegal value FURTHER DETAILS If UPLO = 'U', the matrix Q is represented as a product of elementary reflectors Q = H(n-1) . . . H(2) H(1). Each H(i) has the form H(i) = I - tau * v * v' where tau is a real scalar, and v is a real vector with v(i+1:n) = 0 and v(i) = 1; v(1:i-1) is stored on exit in A(1:i-1,i+1), and tau in TAU(i). If UPLO = 'L', the matrix Q is represented as a product of elementary reflectors Q = H(1) H(2) . . . H(n-1). Each H(i) has the form H(i) = I - tau * v * v' where tau is a real scalar, and v is a real vector with v(1:i) = 0 and v(i+1) = 1; v(i+2:n) is stored on exit in A(i+2:n,i), and tau in TAU(i). The contents of A on exit are illustrated by the following examples with n = 5: if UPLO = 'U': if UPLO = 'L': ( d e v2 v3 v4 ) ( d ) ( d e v3 v4 ) ( e d ) ( d e v4 ) ( v1 e d ) ( d e ) ( v1 v2 e d ) ( d ) ( v1 v2 v3 e d ) where d and e denote diagonal and off-diagonal elements of T, and vi denotes an element of the vector defining H(i). 7 Nov 2015 dsytrd(3P)