NAG FL Interface
f08kgf (dormbr)

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1 Purpose

f08kgf multiplies an arbitrary real m×n matrix C by one of the real orthogonal matrices Q or P which were determined by f08kef when reducing a real matrix to bidiagonal form.

2 Specification

Fortran Interface
Subroutine f08kgf ( vect, side, trans, m, n, k, a, lda, tau, c, ldc, work, lwork, info)
Integer, Intent (In) :: m, n, k, lda, ldc, lwork
Integer, Intent (Out) :: info
Real (Kind=nag_wp), Intent (In) :: tau(*)
Real (Kind=nag_wp), Intent (Inout) :: a(lda,*), c(ldc,*)
Real (Kind=nag_wp), Intent (Out) :: work(max(1,lwork))
Character (1), Intent (In) :: vect, side, trans
C Header Interface
#include <nag.h>
void  f08kgf_ (const char *vect, const char *side, const char *trans, const Integer *m, const Integer *n, const Integer *k, double a[], const Integer *lda, const double tau[], double c[], const Integer *ldc, double work[], const Integer *lwork, Integer *info, const Charlen length_vect, const Charlen length_side, const Charlen length_trans)
The routine may be called by the names f08kgf, nagf_lapackeig_dormbr or its LAPACK name dormbr.

3 Description

f08kgf is intended to be used after a call to f08kef, which reduces a real rectangular matrix A to bidiagonal form B by an orthogonal transformation: A=QBPT. f08kef represents the matrices Q and PT as products of elementary reflectors.
This routine may be used to form one of the matrix products
QC , QTC , CQ , CQT , PC , PTC , CP ​ or ​ CPT ,  
overwriting the result on C (which may be any real rectangular matrix).

4 References

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

5 Arguments

Note: in the descriptions below, r denotes the order of Q or PT: if side='L', r=m and if side='R', r=n.
1: vect Character(1) Input
On entry: indicates whether Q or QT or P or PT is to be applied to C.
vect='Q'
Q or QT is applied to C.
vect='P'
P or PT is applied to C.
Constraint: vect='Q' or 'P'.
2: side Character(1) Input
On entry: indicates how Q or QT or P or PT is to be applied to C.
side='L'
Q or QT or P or PT is applied to C from the left.
side='R'
Q or QT or P or PT is applied to C from the right.
Constraint: side='L' or 'R'.
3: trans Character(1) Input
On entry: indicates whether Q or P or QT or PT is to be applied to C.
trans='N'
Q or P is applied to C.
trans='T'
QT or PT is applied to C.
Constraint: trans='N' or 'T'.
4: m Integer Input
On entry: m, the number of rows of the matrix C.
Constraint: m0.
5: n Integer Input
On entry: n, the number of columns of the matrix C.
Constraint: n0.
6: k Integer Input
On entry: if vect='Q', the number of columns in the original matrix A.
If vect='P', the number of rows in the original matrix A.
Constraint: k0.
7: a(lda,*) Real (Kind=nag_wp) array Input
Note: the second dimension of the array a must be at least max(1,min(r,k)) if vect='Q' and at least max(1,r) if vect='P'.
On entry: details of the vectors which define the elementary reflectors, as returned by f08kef.
8: lda Integer Input
On entry: the first dimension of the array a as declared in the (sub)program from which f08kgf is called.
Constraints:
  • if vect='Q', lda max(1,r) ;
  • if vect='P', lda max(1,min(r,k)) .
9: tau(*) Real (Kind=nag_wp) array Input
Note: the dimension of the array tau must be at least max(1,min(r,k)).
On entry: further details of the elementary reflectors, as returned by f08kef in its argument tauq if vect='Q', or in its argument taup if vect='P'.
10: c(ldc,*) Real (Kind=nag_wp) array Input/Output
Note: the second dimension of the array c must be at least max(1,n).
On entry: the matrix C.
On exit: c is overwritten by QC or QTC or CQ or CTQ or PC or PTC or CP or CTP as specified by vect, side and trans.
11: ldc Integer Input
On entry: the first dimension of the array c as declared in the (sub)program from which f08kgf is called.
Constraint: ldcmax(1,m).
12: work(max(1,lwork)) Real (Kind=nag_wp) array Workspace
On exit: if info=0, work(1) contains the minimum value of lwork required for optimal performance.
13: lwork Integer Input
On entry: the dimension of the array work as declared in the (sub)program from which f08kgf 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.
Suggested value: for optimal performance, lworkn×nb if side='L' and at least m×nb if side='R', where nb is the optimal block size.
Constraints:
  • if side='L', lworkmax(1,n) or lwork=−1;
  • if side='R', lworkmax(1,m) or lwork=−1.
14: info Integer Output
On exit: info=0 unless the routine detects an error (see Section 6).

6 Error Indicators and Warnings

info<0
If info=-i, argument i had an illegal value. An explanatory message is output, and execution of the program is terminated.

7 Accuracy

The computed result differs from the exact result by a matrix E such that
E2 = O(ε) C2 ,  
where ε is the machine precision.

8 Parallelism and Performance

Background information to multithreading can be found in the Multithreading documentation.
f08kgf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f08kgf makes calls to BLAS and/or LAPACK routines, which may be threaded within the vendor library used by this implementation. Consult the documentation for the vendor library for further information.
Please consult the X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this routine. Please also consult the Users' Note for your implementation for any additional implementation-specific information.

9 Further Comments

The total number of floating-point operations is approximately where k is the value of the argument k.
The complex analogue of this routine is f08kuf.

10 Example

For this routine two examples are presented. Both illustrate how the reduction to bidiagonal form of a matrix A may be preceded by a QR or LQ factorization of A.
In the first example, m>n, and
A = ( -0.57 -1.28 -0.39 0.25 -1.93 1.08 -0.31 -2.14 2.30 0.24 0.40 -0.35 -1.93 0.64 -0.66 0.08 0.15 0.30 0.15 -2.13 -0.02 1.03 -1.43 0.50 ) .  
The routine first performs a QR factorization of A as A=QaR and then reduces the factor R to bidiagonal form B: R=QbBPT. Finally it forms Qa and calls f08kgf to form Q=QaQb.
In the second example, m<n, and
A = ( -5.42 3.28 -3.68 0.27 2.06 0.46 -1.65 -3.40 -3.20 -1.03 -4.06 -0.01 -0.37 2.35 1.90 4.31 -1.76 1.13 -3.15 -0.11 1.99 -2.70 0.26 4.50 ) .  
The routine first performs an LQ factorization of A as A=LPaT and then reduces the factor L to bidiagonal form B: L=QBPbT. Finally it forms PbT and calls f08kgf to form PT=PbTPaT.

10.1 Program Text

Program Text (f08kgfe.f90)

10.2 Program Data

Program Data (f08kgfe.d)

10.3 Program Results

Program Results (f08kgfe.r)