gelsy(3)

NAME
gelsy - gelsy: least squares using complete orthogonal factor

SYNOPSIS

  Functions
subroutine cgelsy (m, n, nrhs, a, lda, b, ldb, jpvt, rcond, rank, work, lwork, rwork, info)
CGELSY solves overdetermined or underdetermined systems for GE matrices
subroutine dgelsy (m, n, nrhs, a, lda, b, ldb, jpvt, rcond, rank, work, lwork, info)
DGELSY solves overdetermined or underdetermined systems for GE matrices
subroutine sgelsy (m, n, nrhs, a, lda, b, ldb, jpvt, rcond, rank, work, lwork, info)
SGELSY solves overdetermined or underdetermined systems for GE matrices
subroutine zgelsy (m, n, nrhs, a, lda, b, ldb, jpvt, rcond, rank, work, lwork, rwork, info)
ZGELSY solves overdetermined or underdetermined systems for GE matrices

Detailed Description

Function Documentation

  subroutine cgelsy (integer m, integer n, integer nrhs, complex, dimension( lda, * ) a, integer lda, complex, dimension( ldb, * ) b, integer ldb, integer, dimension( * ) jpvt, real rcond, integer rank, complex, dimension( * ) work, integer lwork, real, dimension( * ) rwork, integer info)

CGELSY solves overdetermined or underdetermined systems for GE matrices

Purpose:

    !>
    !> CGELSY computes the minimum-norm solution to a complex linear least
    !> squares problem:
    !>     minimize || A * X - B ||
    !> using a complete orthogonal factorization of A.  A is an M-by-N
    !> matrix which may be rank-deficient.
    !>
    !> Several right hand side vectors b and solution vectors x can be
    !> handled in a single call; they are stored as the columns of the
    !> M-by-NRHS right hand side matrix B and the N-by-NRHS solution
    !> matrix X.
    !>
    !> The routine first computes a QR factorization with column pivoting:
    !>     A * P = Q * [ R11 R12 ]
    !>                 [  0  R22 ]
    !> with R11 defined as the largest leading submatrix whose estimated
    !> condition number is less than 1/RCOND.  The order of R11, RANK,
    !> is the effective rank of A.
    !>
    !> Then, R22 is considered to be negligible, and R12 is annihilated
    !> by unitary transformations from the right, arriving at the
    !> complete orthogonal factorization:
    !>    A * P = Q * [ T11 0 ] * Z
    !>                [  0  0 ]
    !> The minimum-norm solution is then
    !>    X = P * Z**H [ inv(T11)*Q1**H*B ]
    !>                 [        0         ]
    !> where Q1 consists of the first RANK columns of Q.
    !>
    !> This routine is basically identical to the original xGELSX except
    !> three differences:
    !>   o The permutation of matrix B (the right hand side) is faster and
    !>     more simple.
    !>   o The call to the subroutine xGEQPF has been substituted by the
    !>     the call to the subroutine xGEQP3. This subroutine is a Blas-3
    !>     version of the QR factorization with column pivoting.
    !>   o Matrix B (the right hand side) is updated with Blas-3.
    !>

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.
    !>

    NRHS

    !>          NRHS is INTEGER
    !>          The number of right hand sides, i.e., the number of
    !>          columns of matrices B and X. NRHS >= 0.
    !>

    A

    !>          A is COMPLEX array, dimension (LDA,N)
    !>          On entry, the M-by-N matrix A.
    !>          On exit, A has been overwritten by details of its
    !>          complete orthogonal factorization.
    !>

    LDA

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

    B

    !>          B is COMPLEX array, dimension (LDB,NRHS)
    !>          On entry, the M-by-NRHS right hand side matrix B.
    !>          On exit, the N-by-NRHS solution matrix X.
    !>          If M = 0 or N = 0, B is not referenced.
    !>

    LDB

    !>          LDB is INTEGER
    !>          The leading dimension of the array B. LDB >= max(1,M,N).
    !>

    JPVT

    !>          JPVT is INTEGER array, dimension (N)
    !>          On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted
    !>          to the front of AP, otherwise column i is a free column.
    !>          On exit, if JPVT(i) = k, then the i-th column of A*P
    !>          was the k-th column of A.
    !>

    RCOND

    !>          RCOND is REAL
    !>          RCOND is used to determine the effective rank of A, which
    !>          is defined as the order of the largest leading triangular
    !>          submatrix R11 in the QR factorization with pivoting of A,
    !>          whose estimated condition number < 1/RCOND.
    !>

    RANK

    !>          RANK is INTEGER
    !>          The effective rank of A, i.e., the order of the submatrix
    !>          R11.  This is the same as the order of the submatrix T11
    !>          in the complete orthogonal factorization of A.
    !>          If NRHS = 0, RANK = 0 on output.
    !>

    WORK

    !>          WORK is COMPLEX array, dimension (MAX(1,LWORK))
    !>          On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
    !>

    LWORK

    !>          LWORK is INTEGER
    !>          The dimension of the array WORK.
    !>          The unblocked strategy requires that:
    !>            LWORK >= MN + MAX( 2*MN, N+1, MN+NRHS )
    !>          where MN = min(M,N).
    !>          The block algorithm requires that:
    !>            LWORK >= MN + MAX( 2*MN, NB*(N+1), MN+MN*NB, MN+NB*NRHS )
    !>          where NB is an upper bound on the blocksize returned
    !>          by ILAENV for the routines CGEQP3, CTZRZF, CTZRQF, CUNMQR,
    !>          and CUNMRZ.
    !>
    !>          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.
    !>

    RWORK

    !>          RWORK is REAL array, dimension (2*N)
    !>

    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.

Contributors:
    A. Petitet, Computer Science Dept., Univ. of Tenn., Knoxville, USA
    E. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain

Definition at line 210 of file cgelsy.f.

  subroutine dgelsy (integer m, integer n, integer nrhs, double precision, dimension( lda, * ) a, integer lda, double precision, dimension( ldb, * ) b, integer ldb, integer, dimension( * ) jpvt, double precision rcond, integer rank, double precision, dimension( * ) work, integer lwork, integer info)

DGELSY solves overdetermined or underdetermined systems for GE matrices

Purpose:

    !>
    !> DGELSY computes the minimum-norm solution to a real linear least
    !> squares problem:
    !>     minimize || A * X - B ||
    !> using a complete orthogonal factorization of A.  A is an M-by-N
    !> matrix which may be rank-deficient.
    !>
    !> Several right hand side vectors b and solution vectors x can be
    !> handled in a single call; they are stored as the columns of the
    !> M-by-NRHS right hand side matrix B and the N-by-NRHS solution
    !> matrix X.
    !>
    !> The routine first computes a QR factorization with column pivoting:
    !>     A * P = Q * [ R11 R12 ]
    !>                 [  0  R22 ]
    !> with R11 defined as the largest leading submatrix whose estimated
    !> condition number is less than 1/RCOND.  The order of R11, RANK,
    !> is the effective rank of A.
    !>
    !> Then, R22 is considered to be negligible, and R12 is annihilated
    !> by orthogonal transformations from the right, arriving at the
    !> complete orthogonal factorization:
    !>    A * P = Q * [ T11 0 ] * Z
    !>                [  0  0 ]
    !> The minimum-norm solution is then
    !>    X = P * Z**T [ inv(T11)*Q1**T*B ]
    !>                 [        0         ]
    !> where Q1 consists of the first RANK columns of Q.
    !>
    !> This routine is basically identical to the original xGELSX except
    !> three differences:
    !>   o The call to the subroutine xGEQPF has been substituted by the
    !>     the call to the subroutine xGEQP3. This subroutine is a Blas-3
    !>     version of the QR factorization with column pivoting.
    !>   o Matrix B (the right hand side) is updated with Blas-3.
    !>   o The permutation of matrix B (the right hand side) is faster and
    !>     more simple.
    !>

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.
    !>

    NRHS

    !>          NRHS is INTEGER
    !>          The number of right hand sides, i.e., the number of
    !>          columns of matrices B and X. NRHS >= 0.
    !>

    A

    !>          A is DOUBLE PRECISION array, dimension (LDA,N)
    !>          On entry, the M-by-N matrix A.
    !>          On exit, A has been overwritten by details of its
    !>          complete orthogonal factorization.
    !>

    LDA

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

    B

    !>          B is DOUBLE PRECISION array, dimension (LDB,NRHS)
    !>          On entry, the M-by-NRHS right hand side matrix B.
    !>          On exit, the N-by-NRHS solution matrix X.
    !>          If M = 0 or N = 0, B is not referenced.
    !>

    LDB

    !>          LDB is INTEGER
    !>          The leading dimension of the array B. LDB >= max(1,M,N).
    !>

    JPVT

    !>          JPVT is INTEGER array, dimension (N)
    !>          On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted
    !>          to the front of AP, otherwise column i is a free column.
    !>          On exit, if JPVT(i) = k, then the i-th column of AP
    !>          was the k-th column of A.
    !>

    RCOND

    !>          RCOND is DOUBLE PRECISION
    !>          RCOND is used to determine the effective rank of A, which
    !>          is defined as the order of the largest leading triangular
    !>          submatrix R11 in the QR factorization with pivoting of A,
    !>          whose estimated condition number < 1/RCOND.
    !>

    RANK

    !>          RANK is INTEGER
    !>          The effective rank of A, i.e., the order of the submatrix
    !>          R11.  This is the same as the order of the submatrix T11
    !>          in the complete orthogonal factorization of A.
    !>          If NRHS = 0, RANK = 0 on output.
    !>

    WORK

    !>          WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK))
    !>          On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
    !>

    LWORK

    !>          LWORK is INTEGER
    !>          The dimension of the array WORK.
    !>          The unblocked strategy requires that:
    !>             LWORK >= MAX( MN+3*N+1, 2*MN+NRHS ),
    !>          where MN = min( M, N ).
    !>          The block algorithm requires that:
    !>             LWORK >= MAX( MN+2*N+NB*(N+1), 2*MN+NB*NRHS ),
    !>          where NB is an upper bound on the blocksize returned
    !>          by ILAENV for the routines DGEQP3, DTZRZF, STZRQF, DORMQR,
    !>          and DORMRZ.
    !>
    !>          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.

Contributors:
    A. Petitet, Computer Science Dept., Univ. of Tenn., Knoxville, USA
    E. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain

Definition at line 204 of file dgelsy.f.

  subroutine sgelsy (integer m, integer n, integer nrhs, real, dimension( lda, * ) a, integer lda, real, dimension( ldb, * ) b, integer ldb, integer, dimension( * ) jpvt, real rcond, integer rank, real, dimension( * ) work, integer lwork, integer info)

SGELSY solves overdetermined or underdetermined systems for GE matrices

Purpose:

    !>
    !> SGELSY computes the minimum-norm solution to a real linear least
    !> squares problem:
    !>     minimize || A * X - B ||
    !> using a complete orthogonal factorization of A.  A is an M-by-N
    !> matrix which may be rank-deficient.
    !>
    !> Several right hand side vectors b and solution vectors x can be
    !> handled in a single call; they are stored as the columns of the
    !> M-by-NRHS right hand side matrix B and the N-by-NRHS solution
    !> matrix X.
    !>
    !> The routine first computes a QR factorization with column pivoting:
    !>     A * P = Q * [ R11 R12 ]
    !>                 [  0  R22 ]
    !> with R11 defined as the largest leading submatrix whose estimated
    !> condition number is less than 1/RCOND.  The order of R11, RANK,
    !> is the effective rank of A.
    !>
    !> Then, R22 is considered to be negligible, and R12 is annihilated
    !> by orthogonal transformations from the right, arriving at the
    !> complete orthogonal factorization:
    !>    A * P = Q * [ T11 0 ] * Z
    !>                [  0  0 ]
    !> The minimum-norm solution is then
    !>    X = P * Z**T [ inv(T11)*Q1**T*B ]
    !>                 [        0         ]
    !> where Q1 consists of the first RANK columns of Q.
    !>
    !> This routine is basically identical to the original xGELSX except
    !> three differences:
    !>   o The call to the subroutine xGEQPF has been substituted by the
    !>     the call to the subroutine xGEQP3. This subroutine is a Blas-3
    !>     version of the QR factorization with column pivoting.
    !>   o Matrix B (the right hand side) is updated with Blas-3.
    !>   o The permutation of matrix B (the right hand side) is faster and
    !>     more simple.
    !>

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.
    !>

    NRHS

    !>          NRHS is INTEGER
    !>          The number of right hand sides, i.e., the number of
    !>          columns of matrices B and X. NRHS >= 0.
    !>

    A

    !>          A is REAL array, dimension (LDA,N)
    !>          On entry, the M-by-N matrix A.
    !>          On exit, A has been overwritten by details of its
    !>          complete orthogonal factorization.
    !>

    LDA

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

    B

    !>          B is REAL array, dimension (LDB,NRHS)
    !>          On entry, the M-by-NRHS right hand side matrix B.
    !>          On exit, the N-by-NRHS solution matrix X.
    !>          If M = 0 or N = 0, B is not referenced.
    !>

    LDB

    !>          LDB is INTEGER
    !>          The leading dimension of the array B. LDB >= max(1,M,N).
    !>

    JPVT

    !>          JPVT is INTEGER array, dimension (N)
    !>          On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted
    !>          to the front of AP, otherwise column i is a free column.
    !>          On exit, if JPVT(i) = k, then the i-th column of AP
    !>          was the k-th column of A.
    !>

    RCOND

    !>          RCOND is REAL
    !>          RCOND is used to determine the effective rank of A, which
    !>          is defined as the order of the largest leading triangular
    !>          submatrix R11 in the QR factorization with pivoting of A,
    !>          whose estimated condition number < 1/RCOND.
    !>

    RANK

    !>          RANK is INTEGER
    !>          The effective rank of A, i.e., the order of the submatrix
    !>          R11.  This is the same as the order of the submatrix T11
    !>          in the complete orthogonal factorization of A.
    !>          If NRHS = 0, RANK = 0 on output.
    !>

    WORK

    !>          WORK is REAL array, dimension (MAX(1,LWORK))
    !>          On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
    !>

    LWORK

    !>          LWORK is INTEGER
    !>          The dimension of the array WORK.
    !>          The unblocked strategy requires that:
    !>             LWORK >= MAX( MN+3*N+1, 2*MN+NRHS ),
    !>          where MN = min( M, N ).
    !>          The block algorithm requires that:
    !>             LWORK >= MAX( MN+2*N+NB*(N+1), 2*MN+NB*NRHS ),
    !>          where NB is an upper bound on the blocksize returned
    !>          by ILAENV for the routines SGEQP3, STZRZF, STZRQF, SORMQR,
    !>          and SORMRZ.
    !>
    !>          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.

Contributors:
    A. Petitet, Computer Science Dept., Univ. of Tenn., Knoxville, USA
    E. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain

Definition at line 204 of file sgelsy.f.

  subroutine zgelsy (integer m, integer n, integer nrhs, complex*16, dimension( lda, * ) a, integer lda, complex*16, dimension( ldb, * ) b, integer ldb, integer, dimension( * ) jpvt, double precision rcond, integer rank, complex*16, dimension( * ) work, integer lwork, double precision, dimension( * ) rwork, integer info)

ZGELSY solves overdetermined or underdetermined systems for GE matrices

Purpose:

    !>
    !> ZGELSY computes the minimum-norm solution to a complex linear least
    !> squares problem:
    !>     minimize || A * X - B ||
    !> using a complete orthogonal factorization of A.  A is an M-by-N
    !> matrix which may be rank-deficient.
    !>
    !> Several right hand side vectors b and solution vectors x can be
    !> handled in a single call; they are stored as the columns of the
    !> M-by-NRHS right hand side matrix B and the N-by-NRHS solution
    !> matrix X.
    !>
    !> The routine first computes a QR factorization with column pivoting:
    !>     A * P = Q * [ R11 R12 ]
    !>                 [  0  R22 ]
    !> with R11 defined as the largest leading submatrix whose estimated
    !> condition number is less than 1/RCOND.  The order of R11, RANK,
    !> is the effective rank of A.
    !>
    !> Then, R22 is considered to be negligible, and R12 is annihilated
    !> by unitary transformations from the right, arriving at the
    !> complete orthogonal factorization:
    !>    A * P = Q * [ T11 0 ] * Z
    !>                [  0  0 ]
    !> The minimum-norm solution is then
    !>    X = P * Z**H [ inv(T11)*Q1**H*B ]
    !>                 [        0         ]
    !> where Q1 consists of the first RANK columns of Q.
    !>
    !> This routine is basically identical to the original xGELSX except
    !> three differences:
    !>   o The permutation of matrix B (the right hand side) is faster and
    !>     more simple.
    !>   o The call to the subroutine xGEQPF has been substituted by the
    !>     the call to the subroutine xGEQP3. This subroutine is a Blas-3
    !>     version of the QR factorization with column pivoting.
    !>   o Matrix B (the right hand side) is updated with Blas-3.
    !>

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.
    !>

    NRHS

    !>          NRHS is INTEGER
    !>          The number of right hand sides, i.e., the number of
    !>          columns of matrices B and X. NRHS >= 0.
    !>

    A

    !>          A is COMPLEX*16 array, dimension (LDA,N)
    !>          On entry, the M-by-N matrix A.
    !>          On exit, A has been overwritten by details of its
    !>          complete orthogonal factorization.
    !>

    LDA

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

    B

    !>          B is COMPLEX*16 array, dimension (LDB,NRHS)
    !>          On entry, the M-by-NRHS right hand side matrix B.
    !>          On exit, the N-by-NRHS solution matrix X.
    !>          If M = 0 or N = 0, B is not referenced.
    !>

    LDB

    !>          LDB is INTEGER
    !>          The leading dimension of the array B. LDB >= max(1,M,N).
    !>

    JPVT

    !>          JPVT is INTEGER array, dimension (N)
    !>          On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted
    !>          to the front of AP, otherwise column i is a free column.
    !>          On exit, if JPVT(i) = k, then the i-th column of A*P
    !>          was the k-th column of A.
    !>

    RCOND

    !>          RCOND is DOUBLE PRECISION
    !>          RCOND is used to determine the effective rank of A, which
    !>          is defined as the order of the largest leading triangular
    !>          submatrix R11 in the QR factorization with pivoting of A,
    !>          whose estimated condition number < 1/RCOND.
    !>

    RANK

    !>          RANK is INTEGER
    !>          The effective rank of A, i.e., the order of the submatrix
    !>          R11.  This is the same as the order of the submatrix T11
    !>          in the complete orthogonal factorization of A.
    !>          If NRHS = 0, RANK = 0 on output.
    !>

    WORK

    !>          WORK is COMPLEX*16 array, dimension (MAX(1,LWORK))
    !>          On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
    !>

    LWORK

    !>          LWORK is INTEGER
    !>          The dimension of the array WORK.
    !>          The unblocked strategy requires that:
    !>            LWORK >= MN + MAX( 2*MN, N+1, MN+NRHS )
    !>          where MN = min(M,N).
    !>          The block algorithm requires that:
    !>            LWORK >= MN + MAX( 2*MN, NB*(N+1), MN+MN*NB, MN+NB*NRHS )
    !>          where NB is an upper bound on the blocksize returned
    !>          by ILAENV for the routines ZGEQP3, ZTZRZF, CTZRQF, ZUNMQR,
    !>          and ZUNMRZ.
    !>
    !>          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.
    !>

    RWORK

    !>          RWORK is DOUBLE PRECISION array, dimension (2*N)
    !>

    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.

Contributors:
    A. Petitet, Computer Science Dept., Univ. of Tenn., Knoxville, USA
    E. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain

Definition at line 210 of file zgelsy.f.

Author

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