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4.5.4 Guru Real-data DFTs

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     fftw_plan fftw_plan_guru_dft_r2c(
cannam@95:           int rank, const fftw_iodim *dims,
cannam@95:           int howmany_rank, const fftw_iodim *howmany_dims,
cannam@95:           double *in, fftw_complex *out,
cannam@95:           unsigned flags);
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cannam@95:      fftw_plan fftw_plan_guru_split_dft_r2c(
cannam@95:           int rank, const fftw_iodim *dims,
cannam@95:           int howmany_rank, const fftw_iodim *howmany_dims,
cannam@95:           double *in, double *ro, double *io,
cannam@95:           unsigned flags);
cannam@95:      
cannam@95:      fftw_plan fftw_plan_guru_dft_c2r(
cannam@95:           int rank, const fftw_iodim *dims,
cannam@95:           int howmany_rank, const fftw_iodim *howmany_dims,
cannam@95:           fftw_complex *in, double *out,
cannam@95:           unsigned flags);
cannam@95:      
cannam@95:      fftw_plan fftw_plan_guru_split_dft_c2r(
cannam@95:           int rank, const fftw_iodim *dims,
cannam@95:           int howmany_rank, const fftw_iodim *howmany_dims,
cannam@95:           double *ri, double *ii, double *out,
cannam@95:           unsigned flags);
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cannam@95: Plan a real-input (r2c) or real-output (c2r), multi-dimensional DFT with cannam@95: transform dimensions given by (rank, dims) over a cannam@95: multi-dimensional vector (loop) of dimensions (howmany_rank, cannam@95: howmany_dims). dims and howmany_dims should point cannam@95: to fftw_iodim arrays of length rank and cannam@95: howmany_rank, respectively. As for the basic and advanced cannam@95: interfaces, an r2c transform is FFTW_FORWARD and a c2r transform cannam@95: is FFTW_BACKWARD. cannam@95: cannam@95:

The last dimension of dims is interpreted specially: cannam@95: that dimension of the real array has size dims[rank-1].n, but cannam@95: that dimension of the complex array has size dims[rank-1].n/2+1 cannam@95: (division rounded down). The strides, on the other hand, are taken to cannam@95: be exactly as specified. It is up to the user to specify the strides cannam@95: appropriately for the peculiar dimensions of the data, and we do not cannam@95: guarantee that the planner will succeed (return non-NULL) for cannam@95: any dimensions other than those described in Real-data DFT Array Format and generalized in Advanced Real-data DFTs. (That is, cannam@95: for an in-place transform, each individual dimension should be able to cannam@95: operate in place.) cannam@95: cannam@95: cannam@95:

in and out point to the input and output arrays for r2c cannam@95: and c2r transforms, respectively. For split arrays, ri and cannam@95: ii point to the real and imaginary input arrays for a c2r cannam@95: transform, and ro and io point to the real and imaginary cannam@95: output arrays for an r2c transform. in and ro or cannam@95: ri and out may be the same, indicating an in-place cannam@95: transform. (In-place transforms where in and io or cannam@95: ii and out are the same are not currently supported.) cannam@95: cannam@95:

flags is a bitwise OR (‘|’) of zero or more planner flags, cannam@95: as defined in Planner Flags. cannam@95: cannam@95:

In-place transforms of rank greater than 1 are currently only cannam@95: supported for interleaved arrays. For split arrays, the planner will cannam@95: return NULL. cannam@95: cannam@95: cannam@95: cannam@95: cannam@95: