NAG Library Routine Document

c06fjf  (fft_complex_multid_sep)

 Contents

    1  Purpose
    7  Accuracy

1
Purpose

c06fjf computes the multidimensional discrete Fourier transform of a multivariate sequence of complex data values.

2
Specification

Fortran Interface
Subroutine c06fjf ( ndim, nd, n, x, y, work, lwork, ifail)
Integer, Intent (In):: ndim, nd(ndim), n, lwork
Integer, Intent (Inout):: ifail
Real (Kind=nag_wp), Intent (Inout):: x(n), y(n)
Real (Kind=nag_wp), Intent (Out):: work(lwork)
C Header Interface
#include nagmk26.h
void  c06fjf_ ( const Integer *ndim, const Integer nd[], const Integer *n, double x[], double y[], double work[], const Integer *lwork, Integer *ifail)

3
Description

c06fjf computes the multidimensional discrete Fourier transform of a multidimensional sequence of complex data values z j1 j2 jm , where j1 = 0 , 1 ,, n1-1 ,   j2 = 0 , 1 ,, n2-1 , and so on. Thus the individual dimensions are n1 , n2 ,, nm , and the total number of data values is n = n1 × n2 ×× nm .
The discrete Fourier transform is here defined (e.g., for m=2 ) by:
z^ k1 , k2 = 1n j1=0 n1-1 j2=0 n2-1 z j1j2 × exp -2πi j1k1 n1 + j2k2 n2 ,  
where k1 = 0 , 1 ,, n1-1 , k2 = 0 , 1 ,, n2-1 .
The extension to higher dimensions is obvious. (Note the scale factor of 1n  in this definition.)
To compute the inverse discrete Fourier transform, defined with exp + 2 π i  in the above formula instead of exp - 2 π i , this routine should be preceded and followed by the complex conjugation of the data values and the transform (by negating the imaginary parts stored in y).
The data values must be supplied in a pair of one-dimensional arrays (real and imaginary parts separately), in accordance with the Fortran convention for storing multidimensional data (i.e., with the first subscript j1  varying most rapidly).
This routine calls c06fcf to perform one-dimensional discrete Fourier transforms by the fast Fourier transform (FFT) algorithm in Brigham (1974), and hence there are some restrictions on the values of the ni  (see Section 5).

4
References

Brigham E O (1974) The Fast Fourier Transform Prentice–Hall

5
Arguments

1:     ndim – IntegerInput
On entry: m, the number of dimensions (or variables) in the multivariate data.
Constraint: ndim1.
2:     ndndim – Integer arrayInput
On entry: ndi must contain ni (the dimension of the ith variable), for i=1,2,,m. The largest prime factor of each ndi must not exceed 19, and the total number of prime factors of ndi, counting repetitions, must not exceed 20.
Constraint: ndi1, for i=1,2,,ndim.
3:     n – IntegerInput
On entry: n, the total number of data values.
Constraint: n = nd1 × nd2 ×× ndndim.
4:     xn – Real (Kind=nag_wp) arrayInput/Output
On entry: x 1 + j1 + n1 j2 + n1 n2 j3 +  must contain the real part of the complex data value z j1 j2 jm , for 0 j1 n1 -1 , 0 j2 n2-1 , ; i.e., the values are stored in consecutive elements of the array according to the Fortran convention for storing multidimensional arrays.
On exit: the real parts of the corresponding elements of the computed transform.
5:     yn – Real (Kind=nag_wp) arrayInput/Output
On entry: the imaginary parts of the complex data values, stored in the same way as the real parts in the array x.
On exit: the imaginary parts of the corresponding elements of the computed transform.
6:     worklwork – Real (Kind=nag_wp) arrayWorkspace
7:     lwork – IntegerInput
On entry: the dimension of the array work as declared in the (sub)program from which c06fjf is called.
Constraint: lwork 3 × maxndi .
8:     ifail – IntegerInput/Output
On entry: ifail must be set to 0, -1​ or ​1. If you are unfamiliar with this argument you should refer to Section 3.4 in How to Use the NAG Library and its Documentation for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value -1​ or ​1 is recommended. If the output of error messages is undesirable, then the value 1 is recommended. Otherwise, if you are not familiar with this argument, the recommended value is 0. 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:
ifail=1
On entry,ndim<1.
ifail=2
On entry,n nd1× nd2×× ndndim.
ifail=10×l+1
At least one of the prime factors of ndl is greater than 19.
ifail=10×l+2
ndl has more than 20 prime factors.
ifail=10×l+3
On entry,ndl<1.
ifail=10×l+4
On entry,lwork<3×ndl.
ifail=-99
An unexpected error has been triggered by this routine. Please contact NAG.
See Section 3.9 in How to Use the NAG Library and its Documentation for further information.
ifail=-399
Your licence key may have expired or may not have been installed correctly.
See Section 3.8 in How to Use the NAG Library and its Documentation for further information.
ifail=-999
Dynamic memory allocation failed.
See Section 3.7 in How to Use the NAG Library and its Documentation 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

c06fjf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
c06fjf 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 is approximately proportional to n×logn , but also depends on the factorization of the individual dimensions ndi . c06fjf is faster if the only prime factors are 2, 3 or 5; and fastest of all if they are powers of 2.

10
Example

This example reads in a bivariate sequence of complex data values and prints the two-dimensional Fourier transform. It then performs an inverse transform and prints the sequence so obtained, which may be compared to the original data values.

10.1
Program Text

Program Text (c06fjfe.f90)

10.2
Program Data

Program Data (c06fjfe.d)

10.3
Program Results

Program Results (c06fjfe.r)

© The Numerical Algorithms Group Ltd, Oxford, UK. 2017