Provided by: liblapack-doc_3.12.0-3build1_all bug

NAME

       latsqr - latsqr: tall-skinny QR factor

SYNOPSIS

   Functions
       subroutine clatsqr (m, n, mb, nb, a, lda, t, ldt, work, lwork, info)
           CLATSQR
       subroutine dlatsqr (m, n, mb, nb, a, lda, t, ldt, work, lwork, info)
           DLATSQR
       subroutine slatsqr (m, n, mb, nb, a, lda, t, ldt, work, lwork, info)
           SLATSQR
       subroutine zlatsqr (m, n, mb, nb, a, lda, t, ldt, work, lwork, info)
           ZLATSQR

Detailed Description

Function Documentation

   subroutine clatsqr (integer m, integer n, integer mb, integer nb, complex, dimension( lda, * )
       a, integer lda, complex, dimension(ldt, *) t, integer ldt, complex, dimension( * ) work,
       integer lwork, integer info)
       CLATSQR

       Purpose:

            CLATSQR computes a blocked Tall-Skinny QR factorization of
            a complex M-by-N matrix A for M >= N:

               A = Q * ( R ),
                       ( 0 )

            where:

               Q is a M-by-M orthogonal matrix, stored on exit in an implicit
               form in the elements below the diagonal of the array A and in
               the elements of the array T;

               R is an upper-triangular N-by-N matrix, stored on exit in
               the elements on and above the diagonal of the array A.

               0 is a (M-N)-by-N zero matrix, and is not stored.

       Parameters
           M

                     M is INTEGER
                     The number of rows of the matrix A.  M >= 0.

           N

                     N is INTEGER
                     The number of columns of the matrix A. M >= N >= 0.

           MB

                     MB is INTEGER
                     The row block size to be used in the blocked QR.
                     MB > N.

           NB

                     NB is INTEGER
                     The column block size to be used in the blocked QR.
                     N >= NB >= 1.

           A

                     A is COMPLEX array, dimension (LDA,N)
                     On entry, the M-by-N matrix A.
                     On exit, the elements on and above the diagonal
                     of the array contain the N-by-N upper triangular matrix R;
                     the elements below the diagonal represent Q by the columns
                     of blocked V (see Further Details).

           LDA

                     LDA is INTEGER
                     The leading dimension of the array A.  LDA >= max(1,M).

           T

                     T is COMPLEX array,
                     dimension (LDT, N * Number_of_row_blocks)
                     where Number_of_row_blocks = CEIL((M-N)/(MB-N))
                     The blocked upper triangular block reflectors stored in compact form
                     as a sequence of upper triangular blocks.
                     See Further Details below.

           LDT

                     LDT is INTEGER
                     The leading dimension of the array T.  LDT >= NB.

           WORK

                    (workspace) COMPLEX array, dimension (MAX(1,LWORK))

           LWORK

                     LWORK is INTEGER
                     The dimension of the array WORK.  LWORK >= NB*N.
                     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

                     INFO is INTEGER
                     = 0:  successful exit
                     < 0:  if INFO = -i, the i-th argument had an illegal value

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

       Further Details:

            Tall-Skinny QR (TSQR) performs QR by a sequence of orthogonal transformations,
            representing Q as a product of other orthogonal matrices
              Q = Q(1) * Q(2) * . . . * Q(k)
            where each Q(i) zeros out subdiagonal entries of a block of MB rows of A:
              Q(1) zeros out the subdiagonal entries of rows 1:MB of A
              Q(2) zeros out the bottom MB-N rows of rows [1:N,MB+1:2*MB-N] of A
              Q(3) zeros out the bottom MB-N rows of rows [1:N,2*MB-N+1:3*MB-2*N] of A
              . . .

            Q(1) is computed by GEQRT, which represents Q(1) by Householder vectors
            stored under the diagonal of rows 1:MB of A, and by upper triangular
            block reflectors, stored in array T(1:LDT,1:N).
            For more information see Further Details in GEQRT.

            Q(i) for i>1 is computed by TPQRT, which represents Q(i) by Householder vectors
            stored in rows [(i-1)*(MB-N)+N+1:i*(MB-N)+N] of A, and by upper triangular
            block reflectors, stored in array T(1:LDT,(i-1)*N+1:i*N).
            The last Q(k) may use fewer rows.
            For more information see Further Details in TPQRT.

            For more details of the overall algorithm, see the description of
            Sequential TSQR in Section 2.2 of [1].

            [1] “Communication-Optimal Parallel and Sequential QR and LU Factorizations,”
                J. Demmel, L. Grigori, M. Hoemmen, J. Langou,
                SIAM J. Sci. Comput, vol. 34, no. 1, 2012

   subroutine dlatsqr (integer m, integer n, integer mb, integer nb, double precision, dimension(
       lda, * ) a, integer lda, double precision, dimension(ldt, *) t, integer ldt, double
       precision, dimension( * ) work, integer lwork, integer info)
       DLATSQR

       Purpose:

            DLATSQR computes a blocked Tall-Skinny QR factorization of
            a real M-by-N matrix A for M >= N:

               A = Q * ( R ),
                       ( 0 )

            where:

               Q is a M-by-M orthogonal matrix, stored on exit in an implicit
               form in the elements below the diagonal of the array A and in
               the elements of the array T;

               R is an upper-triangular N-by-N matrix, stored on exit in
               the elements on and above the diagonal of the array A.

               0 is a (M-N)-by-N zero matrix, and is not stored.

       Parameters
           M

                     M is INTEGER
                     The number of rows of the matrix A.  M >= 0.

           N

                     N is INTEGER
                     The number of columns of the matrix A. M >= N >= 0.

           MB

                     MB is INTEGER
                     The row block size to be used in the blocked QR.
                     MB > 0.

           NB

                     NB is INTEGER
                     The column block size to be used in the blocked QR.
                     N >= NB >= 1.

           A

                     A is DOUBLE PRECISION array, dimension (LDA,N)
                     On entry, the M-by-N matrix A.
                     On exit, the elements on and above the diagonal
                     of the array contain the N-by-N upper triangular matrix R;
                     the elements below the diagonal represent Q by the columns
                     of blocked V (see Further Details).

           LDA

                     LDA is INTEGER
                     The leading dimension of the array A.  LDA >= max(1,M).

           T

                     T is DOUBLE PRECISION array,
                     dimension (LDT, N * Number_of_row_blocks)
                     where Number_of_row_blocks = CEIL((M-N)/(MB-N))
                     The blocked upper triangular block reflectors stored in compact form
                     as a sequence of upper triangular blocks.
                     See Further Details below.

           LDT

                     LDT is INTEGER
                     The leading dimension of the array T.  LDT >= NB.

           WORK

                    (workspace) DOUBLE PRECISION array, dimension (MAX(1,LWORK))

           LWORK

                     LWORK is INTEGER
                     The dimension of the array WORK.  LWORK >= NB*N.
                     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

                     INFO is INTEGER
                     = 0:  successful exit
                     < 0:  if INFO = -i, the i-th argument had an illegal value

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

       Further Details:

            Tall-Skinny QR (TSQR) performs QR by a sequence of orthogonal transformations,
            representing Q as a product of other orthogonal matrices
              Q = Q(1) * Q(2) * . . . * Q(k)
            where each Q(i) zeros out subdiagonal entries of a block of MB rows of A:
              Q(1) zeros out the subdiagonal entries of rows 1:MB of A
              Q(2) zeros out the bottom MB-N rows of rows [1:N,MB+1:2*MB-N] of A
              Q(3) zeros out the bottom MB-N rows of rows [1:N,2*MB-N+1:3*MB-2*N] of A
              . . .

            Q(1) is computed by GEQRT, which represents Q(1) by Householder vectors
            stored under the diagonal of rows 1:MB of A, and by upper triangular
            block reflectors, stored in array T(1:LDT,1:N).
            For more information see Further Details in GEQRT.

            Q(i) for i>1 is computed by TPQRT, which represents Q(i) by Householder vectors
            stored in rows [(i-1)*(MB-N)+N+1:i*(MB-N)+N] of A, and by upper triangular
            block reflectors, stored in array T(1:LDT,(i-1)*N+1:i*N).
            The last Q(k) may use fewer rows.
            For more information see Further Details in TPQRT.

            For more details of the overall algorithm, see the description of
            Sequential TSQR in Section 2.2 of [1].

            [1] “Communication-Optimal Parallel and Sequential QR and LU Factorizations,”
                J. Demmel, L. Grigori, M. Hoemmen, J. Langou,
                SIAM J. Sci. Comput, vol. 34, no. 1, 2012

   subroutine slatsqr (integer m, integer n, integer mb, integer nb, real, dimension( lda, * ) a,
       integer lda, real, dimension(ldt, *) t, integer ldt, real, dimension( * ) work, integer
       lwork, integer info)
       SLATSQR

       Purpose:

            SLATSQR computes a blocked Tall-Skinny QR factorization of
            a real M-by-N matrix A for M >= N:

               A = Q * ( R ),
                       ( 0 )

            where:

               Q is a M-by-M orthogonal matrix, stored on exit in an implicit
               form in the elements below the diagonal of the array A and in
               the elements of the array T;

               R is an upper-triangular N-by-N matrix, stored on exit in
               the elements on and above the diagonal of the array A.

               0 is a (M-N)-by-N zero matrix, and is not stored.

       Parameters
           M

                     M is INTEGER
                     The number of rows of the matrix A.  M >= 0.

           N

                     N is INTEGER
                     The number of columns of the matrix A. M >= N >= 0.

           MB

                     MB is INTEGER
                     The row block size to be used in the blocked QR.
                     MB > N.

           NB

                     NB is INTEGER
                     The column block size to be used in the blocked QR.
                     N >= NB >= 1.

           A

                     A is REAL array, dimension (LDA,N)
                     On entry, the M-by-N matrix A.
                     On exit, the elements on and above the diagonal
                     of the array contain the N-by-N upper triangular matrix R;
                     the elements below the diagonal represent Q by the columns
                     of blocked V (see Further Details).

           LDA

                     LDA is INTEGER
                     The leading dimension of the array A.  LDA >= max(1,M).

           T

                     T is REAL array,
                     dimension (LDT, N * Number_of_row_blocks)
                     where Number_of_row_blocks = CEIL((M-N)/(MB-N))
                     The blocked upper triangular block reflectors stored in compact form
                     as a sequence of upper triangular blocks.
                     See Further Details below.

           LDT

                     LDT is INTEGER
                     The leading dimension of the array T.  LDT >= NB.

           WORK

                    (workspace) REAL array, dimension (MAX(1,LWORK))

           LWORK

                     LWORK is INTEGER
                     The dimension of the array WORK.  LWORK >= NB*N.
                     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

                     INFO is INTEGER
                     = 0:  successful exit
                     < 0:  if INFO = -i, the i-th argument had an illegal value

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

       Further Details:

            Tall-Skinny QR (TSQR) performs QR by a sequence of orthogonal transformations,
            representing Q as a product of other orthogonal matrices
              Q = Q(1) * Q(2) * . . . * Q(k)
            where each Q(i) zeros out subdiagonal entries of a block of MB rows of A:
              Q(1) zeros out the subdiagonal entries of rows 1:MB of A
              Q(2) zeros out the bottom MB-N rows of rows [1:N,MB+1:2*MB-N] of A
              Q(3) zeros out the bottom MB-N rows of rows [1:N,2*MB-N+1:3*MB-2*N] of A
              . . .

            Q(1) is computed by GEQRT, which represents Q(1) by Householder vectors
            stored under the diagonal of rows 1:MB of A, and by upper triangular
            block reflectors, stored in array T(1:LDT,1:N).
            For more information see Further Details in GEQRT.

            Q(i) for i>1 is computed by TPQRT, which represents Q(i) by Householder vectors
            stored in rows [(i-1)*(MB-N)+N+1:i*(MB-N)+N] of A, and by upper triangular
            block reflectors, stored in array T(1:LDT,(i-1)*N+1:i*N).
            The last Q(k) may use fewer rows.
            For more information see Further Details in TPQRT.

            For more details of the overall algorithm, see the description of
            Sequential TSQR in Section 2.2 of [1].

            [1] “Communication-Optimal Parallel and Sequential QR and LU Factorizations,”
                J. Demmel, L. Grigori, M. Hoemmen, J. Langou,
                SIAM J. Sci. Comput, vol. 34, no. 1, 2012

   subroutine zlatsqr (integer m, integer n, integer mb, integer nb, complex*16, dimension( lda,
       * ) a, integer lda, complex*16, dimension(ldt, *) t, integer ldt, complex*16, dimension( *
       ) work, integer lwork, integer info)
       ZLATSQR

       Purpose:

            ZLATSQR computes a blocked Tall-Skinny QR factorization of
            a complex M-by-N matrix A for M >= N:

               A = Q * ( R ),
                       ( 0 )

            where:

               Q is a M-by-M orthogonal matrix, stored on exit in an implicit
               form in the elements below the diagonal of the array A and in
               the elements of the array T;

               R is an upper-triangular N-by-N matrix, stored on exit in
               the elements on and above the diagonal of the array A.

               0 is a (M-N)-by-N zero matrix, and is not stored.

       Parameters
           M

                     M is INTEGER
                     The number of rows of the matrix A.  M >= 0.

           N

                     N is INTEGER
                     The number of columns of the matrix A. M >= N >= 0.

           MB

                     MB is INTEGER
                     The row block size to be used in the blocked QR.
                     MB > N.

           NB

                     NB is INTEGER
                     The column block size to be used in the blocked QR.
                     N >= NB >= 1.

           A

                     A is COMPLEX*16 array, dimension (LDA,N)
                     On entry, the M-by-N matrix A.
                     On exit, the elements on and above the diagonal
                     of the array contain the N-by-N upper triangular matrix R;
                     the elements below the diagonal represent Q by the columns
                     of blocked V (see Further Details).

           LDA

                     LDA is INTEGER
                     The leading dimension of the array A.  LDA >= max(1,M).

           T

                     T is COMPLEX*16 array,
                     dimension (LDT, N * Number_of_row_blocks)
                     where Number_of_row_blocks = CEIL((M-N)/(MB-N))
                     The blocked upper triangular block reflectors stored in compact form
                     as a sequence of upper triangular blocks.
                     See Further Details below.

           LDT

                     LDT is INTEGER
                     The leading dimension of the array T.  LDT >= NB.

           WORK

                    (workspace) COMPLEX*16 array, dimension (MAX(1,LWORK))

           LWORK

                     LWORK is INTEGER
                     The dimension of the array WORK.  LWORK >= NB*N.
                     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

                     INFO is INTEGER
                     = 0:  successful exit
                     < 0:  if INFO = -i, the i-th argument had an illegal value

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

       Further Details:

            Tall-Skinny QR (TSQR) performs QR by a sequence of orthogonal transformations,
            representing Q as a product of other orthogonal matrices
              Q = Q(1) * Q(2) * . . . * Q(k)
            where each Q(i) zeros out subdiagonal entries of a block of MB rows of A:
              Q(1) zeros out the subdiagonal entries of rows 1:MB of A
              Q(2) zeros out the bottom MB-N rows of rows [1:N,MB+1:2*MB-N] of A
              Q(3) zeros out the bottom MB-N rows of rows [1:N,2*MB-N+1:3*MB-2*N] of A
              . . .

            Q(1) is computed by GEQRT, which represents Q(1) by Householder vectors
            stored under the diagonal of rows 1:MB of A, and by upper triangular
            block reflectors, stored in array T(1:LDT,1:N).
            For more information see Further Details in GEQRT.

            Q(i) for i>1 is computed by TPQRT, which represents Q(i) by Householder vectors
            stored in rows [(i-1)*(MB-N)+N+1:i*(MB-N)+N] of A, and by upper triangular
            block reflectors, stored in array T(1:LDT,(i-1)*N+1:i*N).
            The last Q(k) may use fewer rows.
            For more information see Further Details in TPQRT.

            For more details of the overall algorithm, see the description of
            Sequential TSQR in Section 2.2 of [1].

            [1] “Communication-Optimal Parallel and Sequential QR and LU Factorizations,”
                J. Demmel, L. Grigori, M. Hoemmen, J. Langou,
                SIAM J. Sci. Comput, vol. 34, no. 1, 2012

Author

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