Hi all I'm trying to re-implement numpy's np.fft.fft2 in C++ by using GSL. Currently I'm using gsl_fft_complex_radix2_forward for first computing a row-based and then a column-based transform.
When using a small dataset (eg 4x4) the results from numpy and GSL are exactly the same. However, the bigger the matrix gets, the greater the difference in results. With a 256x256 matrix the results of numpy are totally different (sometimes even more than twice as big). Does anyone have an explanation for this? I first thought that Python's and C++ decimal rounding are different,, but would this have such a huge different on the result? Thanks for any help! Chris _______________________________________________ Help-gsl mailing list Help-gsl@gnu.org https://lists.gnu.org/mailman/listinfo/help-gsl
