NAG FL Interface
c06fpf (withdraw_​fft_​real_​1d_​multi_​rfmt)

Note: this routine is deprecated and will be withdrawn at Mark 30.2. Replaced by c06ppf or c06pqf.
c06pqf provides a simpler interface for both forward and backward transforms. c06ppf retains original input ordering at the expense of efficiency.
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1 Purpose

c06fpf computes the discrete Fourier transforms of m sequences, each containing n real data values. This routine is designed to be particularly efficient on vector processors.

2 Specification

Fortran Interface
Subroutine c06fpf ( m, n, x, init, trig, work, ifail)
Integer, Intent (In) :: m, n
Integer, Intent (Inout) :: ifail
Real (Kind=nag_wp), Intent (Inout) :: x(m*n), trig(2*n)
Real (Kind=nag_wp), Intent (Out) :: work(m*n)
Character (1), Intent (In) :: init
C Header Interface
#include <nag.h>
void  c06fpf_ (const Integer *m, const Integer *n, double x[], const char *init, double trig[], double work[], Integer *ifail, const Charlen length_init)
The routine may be called by the names c06fpf or nagf_sum_withdraw_fft_real_1d_multi_rfmt.

3 Description

Given m sequences of n real data values xjp , for j=0,1,,n-1 and p=1,2,,m, c06fpf simultaneously calculates the Fourier transforms of all the sequences defined by
z^ k p = 1n j=0 n-1 xjp × exp(-i2πjkn) ,   k= 0, 1, , n-1 ​ and ​ p= 1,2,,m .  
(Note the scale factor 1n in this definition.)
The transformed values z^kp are complex, but for each value of p the z^kp form a Hermitian sequence (i.e., z^n-kp is the complex conjugate of z^kp ), so they are completely determined by mn real numbers (see also the C06 Chapter Introduction).
The discrete Fourier transform is sometimes defined using a positive sign in the exponential term:
z^kp = 1n j=0 n-1 xjp × exp(+i2πjkn) .  
To compute this form, this routine should be followed by forming the complex conjugates of the z^kp ; that is x(k)=-x(k), for k=(n/2+1)×m+1,,m×n.
The routine uses a variant of the fast Fourier transform (FFT) algorithm (see Brigham (1974)) known as the Stockham self-sorting algorithm, which is described in Temperton (1983). Special coding is provided for the factors 2, 3, 4, 5 and 6. This routine is designed to be particularly efficient on vector processors, and it becomes especially fast as m, the number of transforms to be computed in parallel, increases.

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: m Integer Input
On entry: m, the number of sequences to be transformed.
Constraint: m1.
2: n Integer Input
On entry: n, the number of real values in each sequence.
Constraint: n1.
3: x( m×n ) Real (Kind=nag_wp) array Input/Output
On entry: the data must be stored in x as if in a two-dimensional array of dimension (1:m,0:n-1); each of the m sequences is stored in a row of the array. In other words, if the data values of the pth sequence to be transformed are denoted by xjp, for j=0,1,,n-1, the mn elements of the array x must contain the values
x01 , x02 ,, x0m , x11 , x12 ,, x1m ,, x n-1 1 , x n-1 2 ,, x n-1 m .  
On exit: the m discrete Fourier transforms stored as if in a two-dimensional array of dimension (1:m,0:n-1). Each of the m transforms is stored in a row of the array in Hermitian form, overwriting the corresponding original sequence. If the n components of the discrete Fourier transform z^ k p are written as akp + i bkp, then for 0 k n/2, akp is contained in x(p,k), and for 1 k (n-1) / 2, bkp is contained in x(p,n-k). (See also Section 2.1.2 in the C06 Chapter Introduction.)
4: init Character(1) Input
On entry: indicates whether trigonometric coefficients are to be calculated.
Calculate the required trigonometric coefficients for the given value of n, and store in the array trig.
init='S' or 'R'
The required trigonometric coefficients are assumed to have been calculated and stored in the array trig in a prior call to one of c06fpf or c06fqf. The routine performs a simple check that the current value of n is consistent with the values stored in trig.
Constraint: init='I', 'S' or 'R'.
5: trig( 2×n ) Real (Kind=nag_wp) array Input/Output
On entry: if init='S' or 'R', trig must contain the required trigonometric coefficients that have been previously calculated. Otherwise trig need not be set.
On exit: contains the required coefficients (computed by the routine if init='I').
6: work( m×n ) Real (Kind=nag_wp) array Workspace
7: ifail Integer Input/Output
On entry: ifail must be set to 0, −1 or 1 to set behaviour on detection of an error; these values have no effect when no error is detected.
A value of 0 causes the printing of an error message and program execution will be halted; otherwise program execution continues. A value of −1 means that an error message is printed while a value of 1 means that it is not.
If halting is not appropriate, the value −1 or 1 is recommended. If message printing is undesirable, then the value 1 is recommended. Otherwise, the value 0 is recommended. When the value -1 or 1 is used it is essential to test the value of ifail on exit.
On exit: ifail=0 unless the routine detects an error or a warning has been flagged (see Section 6).

6 Error Indicators and Warnings

If on entry ifail=0 or −1, explanatory error messages are output on the current error message unit (as defined by x04aaf).
Errors or warnings detected by the routine:
On entry, m=value.
Constraint: m1.
On entry, n=value.
Constraint: n1.
On entry, init=value.
Constraint: init='I', 'S' or 'R'.
On entry, init=value but n and trig array incompatible.
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 subsequent inverse transform and comparing the results with the original sequence (in exact arithmetic they would be identical).

8 Parallelism and Performance

Background information to multithreading can be found in the Multithreading documentation.
c06fpf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
c06fpf 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 time taken by c06fpf is approximately proportional to nm log(n), but also depends on the factors of n. c06fpf is fastest if the only prime factors of n are 2, 3 and 5, and is particularly slow if n is a large prime, or has large prime factors.

10 Example

This example reads in sequences of real data values and prints their discrete Fourier transforms (as computed by c06fpf). The Fourier transforms are expanded into full complex form using and printed. Inverse transforms are then calculated by conjugating and calling c06fqf showing that the original sequences are restored.

10.1 Program Text

Program Text (c06fpfe.f90)

10.2 Program Data

Program Data (c06fpfe.d)

10.3 Program Results

Program Results (c06fpfe.r)