# naginterfaces.library.lapackeig.dormtr¶

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

dormtr multiplies an arbitrary real matrix by the real orthogonal matrix which was determined by dsytrd() when reducing a real symmetric matrix to tridiagonal form.

For full information please refer to the NAG Library document for f08fg

https://www.nag.com/numeric/nl/nagdoc_29/flhtml/f08/f08fgf.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 dsytrd().

transstr, length 1

Indicates whether or is to be applied to .

is applied to .

is applied to .

afloat, 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 dsytrd().

taufloat, 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 dsytrd().

cfloat, array-like, shape

The matrix .

Returns
cfloat, 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

dormtr is intended to be used after a call to dsytrd(), which reduces a real symmetric matrix to symmetric tridiagonal form by an orthogonal similarity transformation: . dsytrd() represents the orthogonal 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 real 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