naginterfaces.library.lapackeig.zgemqrt

naginterfaces.library.lapackeig.zgemqrt(side, trans, v, t, c)[source]

zgemqrt multiplies an arbitrary complex matrix by the complex unitary matrix from a factorization computed by zgeqrt().

For full information please refer to the NAG Library document for f08aq

https://support.nag.com/numeric/nl/nagdoc_30.1/flhtml/f08/f08aqf.html

Parameters
sidestr, length 1

Indicates how or is to be applied to .

or is applied to from the left.

or is applied to from the right.

transstr, length 1

Indicates whether or is to be applied to .

is applied to .

is applied to .

vcomplex, array-like, shape

Note: the required extent for this argument in dimension 1 is determined as follows: if : ; if : ; otherwise: .

Details of the vectors which define the elementary reflectors, as returned by zgeqrt() in the first columns of its array argument .

tcomplex, array-like, shape

Further details of the unitary matrix as returned by zgeqrt(). The number of blocks is , where and each block is of order except for the last block, which is of order . For the blocks the upper triangular block reflector factors are stored in the matrix as .

ccomplex, array-like, shape

The matrix .

Returns
ccomplex, ndarray, shape

is overwritten by or or or as specified by and .

Raises
NagValueError
(errno )

On entry, error in parameter .

Constraint: or .

(errno )

On entry, error in parameter .

Constraint: or .

(errno )

On entry, error in parameter .

Constraint: .

(errno )

On entry, error in parameter .

Constraint: .

(errno )

On entry, error in parameter .

Constraint: .

(errno )

On entry, error in parameter .

Constraint: .

(errno )

On entry, error in parameter .

Constraint: .

(errno )

On entry, error in parameter .

Constraint: .

Notes

zgemqrt is intended to be used after a call to zgeqrt(), which performs a factorization of a complex matrix . The unitary matrix is represented as a product of elementary reflectors.

This function may be used to form one of the matrix products

overwriting the result on (which may be any complex rectangular matrix).

A common application of this function is in solving linear least squares problems, as described in the F08 Introduction.

References

Golub, G H and Van Loan, C F, 2012, Matrix Computations, (4th Edition), Johns Hopkins University Press, Baltimore