naginterfaces.library.lapackeig.zunmtr

naginterfaces.library.lapackeig.zunmtr(side, uplo, trans, a, tau, c)[source]

zunmtr multiplies an arbitrary complex matrix by the complex unitary matrix which was determined by zhetrd() when reducing a complex Hermitian matrix to tridiagonal form.

For full information please refer to the NAG Library document for f08fu

https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f08/f08fuf.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.

uplostr, length 1

This must be the same argument as supplied to zhetrd().

transstr, length 1

Indicates whether or is to be applied to .

is applied to .

is applied to .

acomplex, array-like, shape

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

Note: the required extent for this argument in dimension 2 is determined as follows: if : ; if : ; otherwise: .

Details of the vectors which define the elementary reflectors, as returned by zhetrd().

taucomplex, array-like, shape

Note: the required length for this argument is determined as follows: if : ; if : ; otherwise: .

Further details of the elementary reflectors, as returned by zhetrd().

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: or .

(errno )

On entry, error in parameter .

Constraint: .

(errno )

On entry, error in parameter .

Constraint: .

Notes

zunmtr is intended to be used after a call to zhetrd(), which reduces a complex Hermitian matrix to real symmetric tridiagonal form by a unitary similarity transformation: . zhetrd() represents the unitary matrix 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 to transform a matrix of eigenvectors of to the matrix of eigenvectors of .

References

Golub, G H and Van Loan, C F, 1996, Matrix Computations, (3rd Edition), Johns Hopkins University Press, Baltimore