NAG FL Interface
f08ntf (zunghr)

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1 Purpose

f08ntf generates the complex unitary matrix Q which was determined by f08nsf when reducing a complex general matrix A to Hessenberg form.

2 Specification

Fortran Interface
Subroutine f08ntf ( n, ilo, ihi, a, lda, tau, work, lwork, info)
Integer, Intent (In) :: n, ilo, ihi, lda, lwork
Integer, Intent (Out) :: info
Complex (Kind=nag_wp), Intent (In) :: tau(*)
Complex (Kind=nag_wp), Intent (Inout) :: a(lda,*)
Complex (Kind=nag_wp), Intent (Out) :: work(max(1,lwork))
C Header Interface
#include <nag.h>
void  f08ntf_ (const Integer *n, const Integer *ilo, const Integer *ihi, Complex a[], const Integer *lda, const Complex tau[], Complex work[], const Integer *lwork, Integer *info)
The routine may be called by the names f08ntf, nagf_lapackeig_zunghr or its LAPACK name zunghr.

3 Description

f08ntf is intended to be used following a call to f08nsf, which reduces a complex general matrix A to upper Hessenberg form H by a unitary similarity transformation: A=QHQH. f08nsf represents the matrix Q as a product of ihi-ilo elementary reflectors. Here ilo and ihi are values determined by f08nvf when balancing the matrix; if the matrix has not been balanced, ilo=1 and ihi=n.
This routine may be used to generate Q explicitly as a square matrix. Q has the structure:
Q = ( I 0 0 0 Q22 0 0 0 I )  
where Q22 occupies rows and columns ilo to ihi.

4 References

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

5 Arguments

1: n Integer Input
On entry: n, the order of the matrix Q.
Constraint: n0.
2: ilo Integer Input
3: ihi Integer Input
On entry: these must be the same arguments ilo and ihi, respectively, as supplied to f08nsf.
Constraints:
  • if n>0, 1 ilo ihi n ;
  • if n=0, ilo=1 and ihi=0.
4: a(lda,*) Complex (Kind=nag_wp) array Input/Output
Note: the second dimension of the array a must be at least max(1,n).
On entry: details of the vectors which define the elementary reflectors, as returned by f08nsf.
On exit: the n×n unitary matrix Q.
5: lda Integer Input
On entry: the first dimension of the array a as declared in the (sub)program from which f08ntf is called.
Constraint: ldamax(1,n).
6: tau(*) Complex (Kind=nag_wp) array Input
Note: the dimension of the array tau must be at least max(1,n-1).
On entry: further details of the elementary reflectors, as returned by f08nsf.
7: work(max(1,lwork)) Complex (Kind=nag_wp) array Workspace
On exit: if info=0, the real part of work(1) contains the minimum value of lwork required for optimal performance.
8: lwork Integer Input
On entry: the dimension of the array work as declared in the (sub)program from which f08ntf is called, unless lwork=−1, in which case a workspace query is assumed and the routine only calculates the optimal dimension of work (using the formula given below).
Suggested value: for optimal performance lwork should be at least (ihi-ilo)×nb, where nb is the block size.
Constraint: lworkmax(1,ihi-ilo) or lwork=−1.
9: 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 matrix Q differs from an exactly unitary matrix by a matrix E such that
E2 = O(ε) ,  
where ε is the machine precision.

8 Parallelism and Performance

Background information to multithreading can be found in the Multithreading documentation.
f08ntf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f08ntf 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 real floating-point operations is approximately 163q3, where q=ihi-ilo.
The real analogue of this routine is f08nff.

10 Example

This example computes the Schur factorization of the matrix A, where
A = ( -3.97-5.04i -4.11+3.70i -0.34+1.01i 1.29-0.86i 0.34-1.50i 1.52-0.43i 1.88-5.38i 3.36+0.65i 3.31-3.85i 2.50+3.45i 0.88-1.08i 0.64-1.48i -1.10+0.82i 1.81-1.59i 3.25+1.33i 1.57-3.44i ) .  
Here A is general and must first be reduced to Hessenberg form by f08nsf. The program then calls f08ntf to form Q, and passes this matrix to f08psf which computes the Schur factorization of A.

10.1 Program Text

Program Text (f08ntfe.f90)

10.2 Program Data

Program Data (f08ntfe.d)

10.3 Program Results

Program Results (f08ntfe.r)