pyNFFT3.fastsum - fastsum Class¶
fastsum Methods¶
fastsum Attributes¶
- plan <fastsum_plan>
fastsum plan (C pointer)
- N <int>
The number of source nodes. Must be a positive integer.
- M <int>
The number of target nodes. Must be a positive integer.
- n <int>
The expansion degree. Must be a positive integer.
- p <int>
The degree of smoothness. Must be a positive integer.
- kernel <str>
Name of kernel function K.
- c <numpy.ndarray>
Kernel parameters; length depends on value of kernel.
- eps_I <float>
The inner boundary.
- eps_B <float>
The outer boundary. Value must be ∈ (0.0, 0.5)
- nn_x <int>
The oversampled nn in x.
- nn_y <int>
The oversampled nn in y.
- m_x <int>
The NFFT-cutoff in x.
- m_y <int>
The NFFT-cutoff in y.
- x <numpy.ndarray>
Float array for source nodes.
- y <numpy.ndarray>
Float array for target nodes.
- alpha <numpy.ndarray>
Complex array for source coefficients.
- f <numpy.ndarray>
Complex array for targer evalutations.
- d <int>
The number of dimensions.
- init_done <boolean>
Boolean to indicate if the fastsum plan is initialized.
- finalized <boolean>
Boolean to indicate if the fastsum plan is finalized.