laqps(3)

NAME
laqps - laqps: step of geqp3

SYNOPSIS

  Functions

subroutine claqps (m, n, offset, nb, kb, a, lda, jpvt, tau, vn1, vn2, auxv, f, ldf)
CLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.
subroutine dlaqps (m, n, offset, nb, kb, a, lda, jpvt, tau, vn1, vn2, auxv, f, ldf)
DLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.
subroutine slaqps (m, n, offset, nb, kb, a, lda, jpvt, tau, vn1, vn2, auxv, f, ldf)
SLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.
subroutine zlaqps (m, n, offset, nb, kb, a, lda, jpvt, tau, vn1, vn2, auxv, f, ldf)
ZLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.

Detailed Description

Function Documentation

  subroutine claqps (integer m, integer n, integer offset, integer nb, integer kb, complex, dimension( lda, * ) a, integer lda, integer, dimension( * ) jpvt, complex, dimension( * ) tau, real, dimension( * ) vn1, real, dimension( * ) vn2, complex, dimension( * ) auxv, complex, dimension( ldf, * ) f, integer ldf)

CLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.

Purpose:

    !>
    !> CLAQPS computes a step of QR factorization with column pivoting
    !> of a complex M-by-N matrix A by using Blas-3.  It tries to factorize
    !> NB columns from A starting from the row OFFSET+1, and updates all
    !> of the matrix with Blas-3 xGEMM.
    !>
    !> In some cases, due to catastrophic cancellations, it cannot
    !> factorize NB columns.  Hence, the actual number of factorized
    !> columns is returned in KB.
    !>
    !> Block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.
    !>

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. N >= 0
    !>

    OFFSET

    !>          OFFSET is INTEGER
    !>          The number of rows of A that have been factorized in
    !>          previous steps.
    !>

    NB

    !>          NB is INTEGER
    !>          The number of columns to factorize.
    !>

    KB

    !>          KB is INTEGER
    !>          The number of columns actually factorized.
    !>

    A

    !>          A is COMPLEX array, dimension (LDA,N)
    !>          On entry, the M-by-N matrix A.
    !>          On exit, block A(OFFSET+1:M,1:KB) is the triangular
    !>          factor obtained and block A(1:OFFSET,1:N) has been
    !>          accordingly pivoted, but no factorized.
    !>          The rest of the matrix, block A(OFFSET+1:M,KB+1:N) has
    !>          been updated.
    !>

    LDA

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

    JPVT

    !>          JPVT is INTEGER array, dimension (N)
    !>          JPVT(I) = K <==> Column K of the full matrix A has been
    !>          permuted into position I in AP.
    !>

    TAU

    !>          TAU is COMPLEX array, dimension (KB)
    !>          The scalar factors of the elementary reflectors.
    !>

    VN1

    !>          VN1 is REAL array, dimension (N)
    !>          The vector with the partial column norms.
    !>

    VN2

    !>          VN2 is REAL array, dimension (N)
    !>          The vector with the exact column norms.
    !>

    AUXV

    !>          AUXV is COMPLEX array, dimension (NB)
    !>          Auxiliary vector.
    !>

    F

    !>          F is COMPLEX array, dimension (LDF,NB)
    !>          Matrix  F**H = L * Y**H * A.
    !>

    LDF

    !>          LDF is INTEGER
    !>          The leading dimension of the array F. LDF >= max(1,N).
    !>

Author
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Contributors:
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain X. Sun, Computer Science Dept., Duke University, USA

 Partial column norm updating strategy modified on April 2011 Z. Drmac and Z. Bujanovic, Dept. of Mathematics, University of Zagreb, Croatia.

References:
    LAPACK Working Note 176

  subroutine dlaqps (integer m, integer n, integer offset, integer nb, integer kb, double precision, dimension( lda, * ) a, integer lda, integer, dimension( * ) jpvt, double precision, dimension( * ) tau, double precision, dimension( * ) vn1, double precision, dimension( * ) vn2, double precision, dimension( * ) auxv, double precision, dimension( ldf, * ) f, integer ldf)

DLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.

Purpose:

    !>
    !> DLAQPS computes a step of QR factorization with column pivoting
    !> of a real M-by-N matrix A by using Blas-3.  It tries to factorize
    !> NB columns from A starting from the row OFFSET+1, and updates all
    !> of the matrix with Blas-3 xGEMM.
    !>
    !> In some cases, due to catastrophic cancellations, it cannot
    !> factorize NB columns.  Hence, the actual number of factorized
    !> columns is returned in KB.
    !>
    !> Block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.
    !>

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. N >= 0
    !>

    OFFSET

    !>          OFFSET is INTEGER
    !>          The number of rows of A that have been factorized in
    !>          previous steps.
    !>

    NB

    !>          NB is INTEGER
    !>          The number of columns to factorize.
    !>

    KB

    !>          KB is INTEGER
    !>          The number of columns actually factorized.
    !>

    A

    !>          A is DOUBLE PRECISION array, dimension (LDA,N)
    !>          On entry, the M-by-N matrix A.
    !>          On exit, block A(OFFSET+1:M,1:KB) is the triangular
    !>          factor obtained and block A(1:OFFSET,1:N) has been
    !>          accordingly pivoted, but no factorized.
    !>          The rest of the matrix, block A(OFFSET+1:M,KB+1:N) has
    !>          been updated.
    !>

    LDA

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

    JPVT

    !>          JPVT is INTEGER array, dimension (N)
    !>          JPVT(I) = K <==> Column K of the full matrix A has been
    !>          permuted into position I in AP.
    !>

    TAU

    !>          TAU is DOUBLE PRECISION array, dimension (KB)
    !>          The scalar factors of the elementary reflectors.
    !>

    VN1

    !>          VN1 is DOUBLE PRECISION array, dimension (N)
    !>          The vector with the partial column norms.
    !>

    VN2

    !>          VN2 is DOUBLE PRECISION array, dimension (N)
    !>          The vector with the exact column norms.
    !>

    AUXV

    !>          AUXV is DOUBLE PRECISION array, dimension (NB)
    !>          Auxiliary vector.
    !>

    F

    !>          F is DOUBLE PRECISION array, dimension (LDF,NB)
    !>          Matrix F**T = L*Y**T*A.
    !>

    LDF

    !>          LDF is INTEGER
    !>          The leading dimension of the array F. LDF >= max(1,N).
    !>

Author
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Contributors:
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain X. Sun, Computer Science Dept., Duke University, USA
     Partial column norm updating strategy modified on April 2011 Z. Drmac and Z. Bujanovic, Dept. of Mathematics, University of Zagreb, Croatia.

References:
    LAPACK Working Note 176

  subroutine slaqps (integer m, integer n, integer offset, integer nb, integer kb, real, dimension( lda, * ) a, integer lda, integer, dimension( * ) jpvt, real, dimension( * ) tau, real, dimension( * ) vn1, real, dimension( * ) vn2, real, dimension( * ) auxv, real, dimension( ldf, * ) f, integer ldf)

SLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.

Purpose:

    !>
    !> SLAQPS computes a step of QR factorization with column pivoting
    !> of a real M-by-N matrix A by using Blas-3.  It tries to factorize
    !> NB columns from A starting from the row OFFSET+1, and updates all
    !> of the matrix with Blas-3 xGEMM.
    !>
    !> In some cases, due to catastrophic cancellations, it cannot
    !> factorize NB columns.  Hence, the actual number of factorized
    !> columns is returned in KB.
    !>
    !> Block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.
    !>

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. N >= 0
    !>

    OFFSET

    !>          OFFSET is INTEGER
    !>          The number of rows of A that have been factorized in
    !>          previous steps.
    !>

    NB

    !>          NB is INTEGER
    !>          The number of columns to factorize.
    !>

    KB

    !>          KB is INTEGER
    !>          The number of columns actually factorized.
    !>

    A

    !>          A is REAL array, dimension (LDA,N)
    !>          On entry, the M-by-N matrix A.
    !>          On exit, block A(OFFSET+1:M,1:KB) is the triangular
    !>          factor obtained and block A(1:OFFSET,1:N) has been
    !>          accordingly pivoted, but no factorized.
    !>          The rest of the matrix, block A(OFFSET+1:M,KB+1:N) has
    !>          been updated.
    !>

    LDA

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

    JPVT

    !>          JPVT is INTEGER array, dimension (N)
    !>          JPVT(I) = K <==> Column K of the full matrix A has been
    !>          permuted into position I in AP.
    !>

    TAU

    !>          TAU is REAL array, dimension (KB)
    !>          The scalar factors of the elementary reflectors.
    !>

    VN1

    !>          VN1 is REAL array, dimension (N)
    !>          The vector with the partial column norms.
    !>

    VN2

    !>          VN2 is REAL array, dimension (N)
    !>          The vector with the exact column norms.
    !>

    AUXV

    !>          AUXV is REAL array, dimension (NB)
    !>          Auxiliary vector.
    !>

    F

    !>          F is REAL array, dimension (LDF,NB)
    !>          Matrix F**T = L*Y**T*A.
    !>

    LDF

    !>          LDF is INTEGER
    !>          The leading dimension of the array F. LDF >= max(1,N).
    !>

Author
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Contributors:
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain X. Sun, Computer Science Dept., Duke University, USA

 Partial column norm updating strategy modified on April 2011 Z. Drmac and Z. Bujanovic, Dept. of Mathematics, University of Zagreb, Croatia.

References:
    LAPACK Working Note 176

  subroutine zlaqps (integer m, integer n, integer offset, integer nb, integer kb, complex*16, dimension( lda, * ) a, integer lda, integer, dimension( * ) jpvt, complex*16, dimension( * ) tau, double precision, dimension( * ) vn1, double precision, dimension( * ) vn2, complex*16, dimension( * ) auxv, complex*16, dimension( ldf, * ) f, integer ldf)

ZLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.

Purpose:

    !>
    !> ZLAQPS computes a step of QR factorization with column pivoting
    !> of a complex M-by-N matrix A by using Blas-3.  It tries to factorize
    !> NB columns from A starting from the row OFFSET+1, and updates all
    !> of the matrix with Blas-3 xGEMM.
    !>
    !> In some cases, due to catastrophic cancellations, it cannot
    !> factorize NB columns.  Hence, the actual number of factorized
    !> columns is returned in KB.
    !>
    !> Block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.
    !>

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. N >= 0
    !>

    OFFSET

    !>          OFFSET is INTEGER
    !>          The number of rows of A that have been factorized in
    !>          previous steps.
    !>

    NB

    !>          NB is INTEGER
    !>          The number of columns to factorize.
    !>

    KB

    !>          KB is INTEGER
    !>          The number of columns actually factorized.
    !>

    A

    !>          A is COMPLEX*16 array, dimension (LDA,N)
    !>          On entry, the M-by-N matrix A.
    !>          On exit, block A(OFFSET+1:M,1:KB) is the triangular
    !>          factor obtained and block A(1:OFFSET,1:N) has been
    !>          accordingly pivoted, but no factorized.
    !>          The rest of the matrix, block A(OFFSET+1:M,KB+1:N) has
    !>          been updated.
    !>

    LDA

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

    JPVT

    !>          JPVT is INTEGER array, dimension (N)
    !>          JPVT(I) = K <==> Column K of the full matrix A has been
    !>          permuted into position I in AP.
    !>

    TAU

    !>          TAU is COMPLEX*16 array, dimension (KB)
    !>          The scalar factors of the elementary reflectors.
    !>

    VN1

    !>          VN1 is DOUBLE PRECISION array, dimension (N)
    !>          The vector with the partial column norms.
    !>

    VN2

    !>          VN2 is DOUBLE PRECISION array, dimension (N)
    !>          The vector with the exact column norms.
    !>

    AUXV

    !>          AUXV is COMPLEX*16 array, dimension (NB)
    !>          Auxiliary vector.
    !>

    F

    !>          F is COMPLEX*16 array, dimension (LDF,NB)
    !>          Matrix F**H = L * Y**H * A.
    !>

    LDF

    !>          LDF is INTEGER
    !>          The leading dimension of the array F. LDF >= max(1,N).
    !>

Author
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Contributors:
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain X. Sun, Computer Science Dept., Duke University, USA
     Partial column norm updating strategy modified on April 2011 Z. Drmac and Z. Bujanovic, Dept. of Mathematics, University of Zagreb, Croatia.

References:
    LAPACK Working Note 176

Author

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