NAG FL Interface
f08nsf (zgehrd)
1
Purpose
f08nsf reduces a complex general matrix to Hessenberg form.
2
Specification
Fortran Interface
Integer, Intent (In) |
:: |
n, ilo, ihi, lda, lwork |
Integer, Intent (Out) |
:: |
info |
Complex (Kind=nag_wp), Intent (Inout) |
:: |
a(lda,*), tau(*) |
Complex (Kind=nag_wp), Intent (Out) |
:: |
work(max(1,lwork)) |
|
C Header Interface
#include <nag.h>
void |
f08nsf_ (const Integer *n, const Integer *ilo, const Integer *ihi, Complex a[], const Integer *lda, Complex tau[], Complex work[], const Integer *lwork, Integer *info) |
|
C++ Header Interface
#include <nag.h> extern "C" {
void |
f08nsf_ (const Integer &n, const Integer &ilo, const Integer &ihi, Complex a[], const Integer &lda, Complex tau[], Complex work[], const Integer &lwork, Integer &info) |
}
|
The routine may be called by the names f08nsf, nagf_lapackeig_zgehrd or its LAPACK name zgehrd.
3
Description
f08nsf reduces a complex general matrix to upper Hessenberg form by a unitary similarity transformation: . has real subdiagonal elements.
The matrix
is not formed explicitly, but is represented as a product of elementary reflectors (see the
F08 Chapter Introduction for details). Routines are provided to work with
in this representation (see
Section 9).
The routine can take advantage of a previous call to
f08nvf, which may produce a matrix with the structure:
where
and
are upper triangular. If so, only the central diagonal block
, in rows and columns
to
, needs to be reduced to Hessenberg form (the blocks
and
will also be affected by the reduction). Therefore the values of
and
determined by
f08nvf can be supplied to the routine directly. If
f08nvf has not previously been called however, then
must be set to
and
to
.
4
References
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore
5
Arguments
-
1:
– Integer
Input
-
On entry: , the order of the matrix .
Constraint:
.
-
2:
– Integer
Input
-
3:
– Integer
Input
-
On entry: if
has been output by
f08nvf,
ilo and
ihi must contain the values returned by that routine. Otherwise,
ilo must be set to
and
ihi to
n.
Constraints:
- if , ;
- if , and .
-
4:
– Complex (Kind=nag_wp) array
Input/Output
-
Note: the second dimension of the array
a
must be at least
.
On entry: the by general matrix .
On exit:
a is overwritten by the upper Hessenberg matrix
and details of the unitary matrix
. The subdiagonal elements of
are real.
-
5:
– Integer
Input
-
On entry: the first dimension of the array
a as declared in the (sub)program from which
f08nsf is called.
Constraint:
.
-
6:
– Complex (Kind=nag_wp) array
Output
-
Note: the dimension of the array
tau
must be at least
.
On exit: further details of the unitary matrix .
-
7:
– Complex (Kind=nag_wp) array
Workspace
-
On exit: if
, the real part of
contains the minimum value of
lwork required for optimal performance.
-
8:
– Integer
Input
-
On entry: the dimension of the array
work as declared in the (sub)program from which
f08nsf is called.
If
, 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, , where is the optimal block size.
Constraint:
or .
-
9:
– Integer
Output
-
On exit:
unless the routine detects an error (see
Section 6).
6
Error Indicators and Warnings
If , argument had an illegal value. An explanatory message is output, and execution of the program is terminated.
-
Dynamic memory allocation failed.
See
Section 9 in the Introduction to the NAG Library FL Interface for further information.
An explanatory message is output, and execution of the program is terminated.
7
Accuracy
The computed Hessenberg matrix
is exactly similar to a nearby matrix
, where
is a modestly increasing function of
, and
is the
machine precision.
The elements of themselves may be sensitive to small perturbations in or to rounding errors in the computation, but this does not affect the stability of the eigenvalues, eigenvectors or Schur factorization.
8
Parallelism and Performance
f08nsf 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.
The total number of real floating-point operations is approximately , where ; if and , the number is approximately .
To form the unitary matrix
f08nsf may be followed by a call to
f08ntf
:
Call zunghr(n,ilo,ihi,a,lda,tau,work,lwork,info)
To apply
to an
by
complex matrix
f08nsf may be followed by a call to
f08nuf.
For example,
Call zunmhr('Left','No Transpose',m,n,ilo,ihi,a,lda,tau,c,ldc, &
work,lwork,info)
forms the matrix product
.
The real analogue of this routine is
f08nef.
10
Example
This example computes the upper Hessenberg form of the matrix
, where
10.1
Program Text
10.2
Program Data
10.3
Program Results