NAG FL Interface
c06pwf (fft_hermitian_2d)
1
Purpose
c06pwf computes the two-dimensional inverse discrete Fourier transform of a bivariate Hermitian sequence of complex data values.
2
Specification
Fortran Interface
Integer, Intent (In) |
:: |
m, n |
Integer, Intent (Inout) |
:: |
ifail |
Real (Kind=nag_wp), Intent (Out) |
:: |
x(m*n) |
Complex (Kind=nag_wp), Intent (In) |
:: |
y((m/2+1)*n) |
|
C Header Interface
#include <nag.h>
void |
c06pwf_ (const Integer *m, const Integer *n, const Complex y[], double x[], Integer *ifail) |
|
C++ Header Interface
#include <nag.h> extern "C" {
void |
c06pwf_ (const Integer &m, const Integer &n, const Complex y[], double x[], Integer &ifail) |
}
|
The routine may be called by the names c06pwf or nagf_sum_fft_hermitian_2d.
3
Description
c06pwf computes the two-dimensional inverse discrete Fourier transform of a bivariate Hermitian sequence of complex data values , for and .
The discrete Fourier transform is here defined by
where
and
. (Note the scale factor of
in this definition.)
Because the input data satisfies conjugate symmetry (i.e., is the complex conjugate of , the transformed values are real.
A call of
c06pvf followed by a call of
c06pwf will restore the original data.
This routine calls
c06pqf and
c06prf to perform multiple one-dimensional discrete Fourier transforms by the fast Fourier transform (FFT) algorithm in
Brigham (1974) and
Temperton (1983).
4
References
Brigham E O (1974) The Fast Fourier Transform Prentice–Hall
Temperton C (1983) Fast mixed-radix real Fourier transforms J. Comput. Phys. 52 340–350
5
Arguments
-
1:
– Integer
Input
-
On entry: , the first dimension of the transform.
Constraint:
.
-
2:
– Integer
Input
-
On entry: , the second dimension of the transform.
Constraint:
.
-
3:
– Complex (Kind=nag_wp) array
Input
-
On entry: the Hermitian sequence of complex input dataset
, where
is stored in
, for
and
.
That is, if
y is regarded as a two-dimensional array of dimension
,
must contain
.
-
4:
– Real (Kind=nag_wp) array
Output
-
On exit: the real output dataset
, where
is stored in
, for
and
. That is, if
x is regarded as a two-dimensional array of dimension
,
contains
.
-
5:
– Integer
Input/Output
-
On entry:
ifail must be set to
,
. If you are unfamiliar with this argument you should refer to
Section 4 in the Introduction to the NAG Library FL Interface for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value
is recommended. If the output of error messages is undesirable, then the value
is recommended. Otherwise, if you are not familiar with this argument, the recommended value is
.
When the value is used it is essential to test the value of ifail on exit.
On exit:
unless the routine detects an error or a warning has been flagged (see
Section 6).
6
Error Indicators and Warnings
If on entry
or
, explanatory error messages are output on the current error message unit (as defined by
x04aaf).
Errors or warnings detected by the routine:
-
On entry, .
Constraint: .
-
On entry, .
Constraint: .
-
An internal error has occurred in this routine.
Check the routine call and any array sizes.
If the call is correct then please contact
NAG for assistance.
An unexpected error has been triggered by this routine. Please
contact
NAG.
See
Section 7 in the Introduction to the NAG Library FL Interface for further information.
Your licence key may have expired or may not have been installed correctly.
See
Section 8 in the Introduction to the NAG Library FL Interface for further information.
Dynamic memory allocation failed.
See
Section 9 in the Introduction to the NAG Library FL Interface for further information.
7
Accuracy
Some indication of accuracy can be obtained by performing a forward transform using
c06pvf and a backward transform using
c06pwf, and comparing the results with the original sequence (in exact arithmetic they would be identical).
8
Parallelism and Performance
c06pwf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
c06pwf 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 time taken by c06pwf is approximately proportional to , but also depends on the factors of and . c06pwf is fastest if the only prime factors of and are , and , and is particularly slow if or is a large prime, or has large prime factors.
Workspace is internally allocated by c06pwf. The total size of these arrays is approximately proportional to .
10
Example
See
Section 10 in
c06pvf.