gelqf#

Functions

void sgelqf(
    const INT           m,
    const INT           n,
          f32* restrict A,
    const INT           lda,
          f32* restrict tau,
          f32* restrict work,
    const INT           lwork,
          INT*          info
);
void sgelqf(const INT m, const INT n, f32 *restrict A, const INT lda, f32 *restrict tau, f32 *restrict work, const INT lwork, INT *info)#

SGELQF computes an LQ factorization of a real m by n matrix A: A = L * Q.

This is the blocked Level 3 BLAS version of the algorithm.

Parameters

in
m

The number of rows of A. m >= 0.

in
n

The number of columns of A. n >= 0.

inout
A

On entry, the m-by-n matrix A. On exit, the elements on and below the diagonal contain the m-by-min(m,n) lower trapezoidal matrix L; the elements above the diagonal, with TAU, represent Q.

in
lda

The leading dimension of A. lda >= max(1, m).

out
tau

Array of dimension min(m, n).

out
work

Workspace, dimension (max(1, lwork)). On exit, work[0] contains the optimal lwork.

in
lwork

Dimension of work. lwork >= max(1, m). For optimal performance, lwork >= m*nb. If lwork == -1, workspace query only.

out
info

  • = 0: success; < 0: -i means i-th argument was illegal.

Functions

void dgelqf(
    const INT           m,
    const INT           n,
          f64* restrict A,
    const INT           lda,
          f64* restrict tau,
          f64* restrict work,
    const INT           lwork,
          INT*          info
);
void dgelqf(const INT m, const INT n, f64 *restrict A, const INT lda, f64 *restrict tau, f64 *restrict work, const INT lwork, INT *info)#

DGELQF computes an LQ factorization of a real m by n matrix A: A = L * Q.

This is the blocked Level 3 BLAS version of the algorithm.

Parameters

in
m

The number of rows of A. m >= 0.

in
n

The number of columns of A. n >= 0.

inout
A

On entry, the m-by-n matrix A. On exit, the elements on and below the diagonal contain the m-by-min(m,n) lower trapezoidal matrix L; the elements above the diagonal, with TAU, represent Q.

in
lda

The leading dimension of A. lda >= max(1, m).

out
tau

Array of dimension min(m, n).

out
work

Workspace, dimension (max(1, lwork)). On exit, work[0] contains the optimal lwork.

in
lwork

Dimension of work. lwork >= max(1, m). For optimal performance, lwork >= m*nb. If lwork == -1, workspace query only.

out
info

  • = 0: success; < 0: -i means i-th argument was illegal.

Functions

void cgelqf(
    const INT           m,
    const INT           n,
          c64* restrict A,
    const INT           lda,
          c64* restrict tau,
          c64* restrict work,
    const INT           lwork,
          INT*          info
);
void cgelqf(const INT m, const INT n, c64 *restrict A, const INT lda, c64 *restrict tau, c64 *restrict work, const INT lwork, INT *info)#

CGELQF computes an LQ factorization of a complex m by n matrix A: A = L * Q.

This is the blocked Level 3 BLAS version of the algorithm.

Parameters

in
m

The number of rows of A. m >= 0.

in
n

The number of columns of A. n >= 0.

inout
A

On entry, the m-by-n matrix A. On exit, the elements on and below the diagonal contain the m-by-min(m,n) lower trapezoidal matrix L; the elements above the diagonal, with TAU, represent Q.

in
lda

The leading dimension of A. lda >= max(1, m).

out
tau

Array of dimension min(m, n).

out
work

Workspace, dimension (max(1, lwork)). On exit, work[0] contains the optimal lwork.

in
lwork

Dimension of work. lwork >= max(1, m). For optimal performance, lwork >= m*nb. If lwork == -1, workspace query only.

out
info

  • = 0: success; < 0: -i means i-th argument was illegal.

Functions

void zgelqf(
    const INT            m,
    const INT            n,
          c128* restrict A,
    const INT            lda,
          c128* restrict tau,
          c128* restrict work,
    const INT            lwork,
          INT*           info
);
void zgelqf(const INT m, const INT n, c128 *restrict A, const INT lda, c128 *restrict tau, c128 *restrict work, const INT lwork, INT *info)#

ZGELQF computes an LQ factorization of a complex m by n matrix A: A = L * Q.

This is the blocked Level 3 BLAS version of the algorithm.

Parameters

in
m

The number of rows of A. m >= 0.

in
n

The number of columns of A. n >= 0.

inout
A

On entry, the m-by-n matrix A. On exit, the elements on and below the diagonal contain the m-by-min(m,n) lower trapezoidal matrix L; the elements above the diagonal, with TAU, represent Q.

in
lda

The leading dimension of A. lda >= max(1, m).

out
tau

Array of dimension min(m, n).

out
work

Workspace, dimension (max(1, lwork)). On exit, work[0] contains the optimal lwork.

in
lwork

Dimension of work. lwork >= max(1, m). For optimal performance, lwork >= m*nb. If lwork == -1, workspace query only.

out
info

  • = 0: success; < 0: -i means i-th argument was illegal.

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