NAG FL Interface
c06pzf (fft_​hermitian_​3d)

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1 Purpose

c06pzf computes the three-dimensional inverse discrete Fourier transform of a trivariate Hermitian sequence of complex data values.

2 Specification

Fortran Interface
Subroutine c06pzf ( n1, n2, n3, y, x, ifail)
Integer, Intent (In) :: n1, n2, n3
Integer, Intent (Inout) :: ifail
Real (Kind=nag_wp), Intent (Out) :: x(n1*n2*n3)
Complex (Kind=nag_wp), Intent (In) :: y((n1/2+1)*n2*n3)
C Header Interface
#include <nag.h>
void  c06pzf_ (const Integer *n1, const Integer *n2, const Integer *n3, const Complex y[], double x[], Integer *ifail)
The routine may be called by the names c06pzf or nagf_sum_fft_hermitian_3d.

3 Description

c06pzf computes the three-dimensional inverse discrete Fourier transform of a trivariate Hermitian sequence of complex data values z j1 j2 j3 , for j1=0,1,,n1-1, j2=0,1,,n2-1 and j3=0,1,,n3-1.
The discrete Fourier transform is here defined by
x^ k1 k2 k3 = 1 n1 n2 n3 j1=0 n1-1 j2=0 n2-1 j3=0 n3-1 z j1 j2 j3 × exp(2πi( j1 k1 n1 + j2 k2 n2 + j3 k3 n3 )) ,  
where k1 = 0,1,, n1-1 , k2 = 0,1,, n2-1 and k3 = 0,1,, n3-1 . (Note the scale factor of 1 n1 n2 n3 in this definition.)
Because the input data satisfies conjugate symmetry (i.e., z j1 j2 j3 is the complex conjugate of z (n1-j1) (n2-j2) (n3-j3) ), the transformed values x^ k1 k2 k3 are real.
A call of c06pyf followed by a call of c06pzf 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: n1 Integer Input
On entry: n1, the first dimension of the transform.
Constraint: n11.
2: n2 Integer Input
On entry: n2, the second dimension of the transform.
Constraint: n21.
3: n3 Integer Input
On entry: n3, the third dimension of the transform.
Constraint: n31.
4: y( (n1/2+1)×n2×n3 ) Complex (Kind=nag_wp) array Input
On entry: the Hermitian sequence of complex input dataset z, where z j1 j2 j3 is stored in y( j3 × (n1/2+1) n2 + j2 × (n1/2+1) + j1 +1 ) , for j1=0,1,,n1/2, j2=0,1,,n2-1 and j3=0,1,,n3-1. That is, if y is regarded as a three-dimensional array of dimension (0:n1/2,0:n2-1,0:n3-1) , y(j1,j2,j3) must contain z j1 j2 j3 .
5: x( n1×n2×n3 ) Real (Kind=nag_wp) array Output
On exit: the real output dataset x^, where x^ k1 k2 k3 is stored in x( k3 × n1 n2 + k2 × n1 + k1 +1 ), for k1=0,1,,n1-1, k2=0,1,,n2-1 and k3=0,1,,n3-1. That is, if x is regarded as a three-dimensional array of dimension (0:n1-1,0:n2-1,0:n3-1) , x(k1,k2,k3) contains x^ k1 k2 k3 .
6: 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:
ifail=1
On entry, n1=value.
Constraint: n11.
ifail=2
On entry, n2=value.
Constraint: n21.
ifail=3
On entry, n3=value.
Constraint: n31.
ifail=4
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.
ifail=-99
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.
ifail=-399
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.
ifail=-999
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 c06pyf and a backward transform using c06pzf, 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.
c06pzf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
c06pzf 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 c06pzf is approximately proportional to n1 n2 n3 log(n1n2n3) , but also depends on the factors of n1, n2 and n3. c06pzf is fastest if the only prime factors of n1, n2 and n3 are 2, 3 and 5, and is particularly slow if one of the dimensions is a large prime, or has large prime factors.
Workspace is internally allocated by c06pzf. The total size of these arrays is approximately proportional to n1 n2 n3 .

10 Example

See c06pyf.