The function may be called by the names: c06pwc or nag_sum_fft_hermitian_2d.
3Description
c06pwc 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 c06pvc followed by a call of c06pwc will restore the original data.
This function performs multiple one-dimensional discrete Fourier transforms by the fast Fourier transform (FFT) algorithm in Brigham (1974) and Temperton (1983).
4References
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
5Arguments
1: – IntegerInput
On entry: , the first dimension of the transform.
Constraint:
.
2: – IntegerInput
On entry: , the second dimension of the transform.
Constraint:
.
3: – const ComplexInput
On entry: the Hermitian sequence of complex input dataset , where
is stored in , for and .
4: – doubleOutput
On exit: the real output dataset , where
is stored in , for and .
5: – NagError *Input/Output
The NAG error argument (see Section 7 in the Introduction to the NAG Library CL Interface).
6Error Indicators and Warnings
NE_ALLOC_FAIL
Dynamic memory allocation failed.
See Section 3.1.2 in the Introduction to the NAG Library CL Interface for further information.
NE_BAD_PARAM
On entry, argument had an illegal value.
NE_INT
On entry, .
Constraint: .
On entry, .
Constraint: .
NE_INTERNAL_ERROR
An internal error has occurred in this function.
Check the function call and any array sizes.
If the call is correct then please contact NAG for assistance.
See Section 7.5 in the Introduction to the NAG Library CL Interface for further information.
NE_NO_LICENCE
Your licence key may have expired or may not have been installed correctly.
See Section 8 in the Introduction to the NAG Library CL Interface for further information.
7Accuracy
Some indication of accuracy can be obtained by performing a forward transform using c06pvc and a backward transform using c06pwc, and comparing the results with the original sequence (in exact arithmetic they would be identical).
8Parallelism and Performance
c06pwc is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
c06pwc 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 function. Please also consult the Users' Note for your implementation for any additional implementation-specific information.
9Further Comments
The time taken by c06pwc is approximately proportional to , but also depends on the factors of and . c06pwc 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 c06pwc. The total size of these arrays is approximately proportional to .