NAG Library Routine Document

F08CKF (DORMRQ)

+− Contents

1 Purpose

2 Specification

3 Description

4 References

5 Parameters

6 Error Indicators and Warnings

7 Accuracy

8 Further Comments

9 Example

1 Purpose

F08CKF (DORMRQ) multiplies a general real m by n matrix C by the real orthogonal matrix Q from an RQ factorization computed by F08CHF (DGERQF).

2 Specification

SUBROUTINE F08CKF (

SIDE, TRANS, M, N, K, A, LDA, TAU, C, LDC, WORK, LWORK, INFO)

INTEGER	M, N, K, LDA, LDC, LWORK, INFO
REAL (KIND=nag_wp)	A(LDA,), TAU(), C(LDC,*), WORK(max(1,LWORK))
CHARACTER(1)	SIDE, TRANS

The routine may be called by its LAPACK name dormrq.

3 Description

F08CKF (DORMRQ) is intended to be used following a call to F08CHF (DGERQF), which performs an RQ factorization of a real matrix A and represents the orthogonal matrix Q as a product of elementary reflectors.

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

QC , QTC , CQ , CQT ,

overwriting the result on C, which may be any real rectangular m by n matrix.

A common application of this routine is in solving underdetermined linear least squares problems, as described in the F08 Chapter Introduction, and illustrated in Section 9 in F08CHF (DGERQF).

4 References

Anderson E, Bai Z, Bischof C, Blackford S, Demmel J, Dongarra J J, Du Croz J J, Greenbaum A, Hammarling S, McKenney A and Sorensen D (1999) LAPACK Users' Guide (3rd Edition) SIAM, Philadelphia http://www.netlib.org/lapack/lug

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

5 Parameters

1: SIDE – CHARACTER(1)Input

On entry: indicates how Q or QT is to be applied to C.

SIDE='L': Q or QT is applied to C from the left.
SIDE='R': Q or QT is applied to C from the right.

Constraint: SIDE='L' or 'R'.

2: TRANS – CHARACTER(1)Input

On entry: indicates whether Q or QT is to be applied to C.

TRANS='N': Q is applied to C.
TRANS='T': QT is applied to C.

Constraint: TRANS='N' or 'T'.

3: M – INTEGERInput

On entry: m, the number of rows of the matrix C.

Constraint: M≥0.

4: N – INTEGERInput

On entry: n, the number of columns of the matrix C.

Constraint: N≥0.

5: K – INTEGERInput

On entry: k, the number of elementary reflectors whose product defines the matrix Q.

Constraints:

if SIDE='L', M≥K≥0;
if SIDE='R', N≥K≥0.

6: A(LDA,*) – REAL (KIND=nag_wp) arrayInput/Output

Note: the second dimension of the array A must be at least max1,M if SIDE='L' and at least max1,N if SIDE='R'.

On entry: the ith row of A must contain the vector which defines the elementary reflector Hi, for i=1,2,…,k, as returned by F08CHF (DGERQF).

On exit: is modified by F08CKF (DORMRQ) but restored on exit.

7: LDA – INTEGERInput

On entry: the first dimension of the array A as declared in the (sub)program from which F08CKF (DORMRQ) is called.

Constraint: LDA≥max1,K.

8: TAU(*) – REAL (KIND=nag_wp) arrayInput

Note: the dimension of the array TAU must be at least max1,K.

On entry: TAUi must contain the scalar factor of the elementary reflector Hi, as returned by F08CHF (DGERQF).

9: C(LDC,*) – REAL (KIND=nag_wp) arrayInput/Output

Note: the second dimension of the array C must be at least max1,N.

On entry: the m by n matrix C.

On exit: C is overwritten by QC or QTC or CQ or CQT as specified by SIDE and TRANS.

10: LDC – INTEGERInput

On entry: the first dimension of the array C as declared in the (sub)program from which F08CKF (DORMRQ) is called.

Constraint: LDC≥max1,M.

11: WORK(max1,LWORK) – REAL (KIND=nag_wp) arrayWorkspace

On exit: if INFO=0, WORK1 contains the minimum value of LWORK required for optimal performance.

12: LWORK – INTEGERInput

On entry: the dimension of the array WORK as declared in the (sub)program from which F08CKF (DORMRQ) is called.

If LWORK=-1, 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.