13 Nov
2022
13 Nov
'22
5:59 p.m.
I was lucky and ran into these functions: - np.linalg.pinv - np.linalg.solve - np.linalg.lstsq The .solve and .lstsq functions are faster and more accurate than the .inv and .pinv functions. The .pinv and .lstsq functions compute the minimal least squares solutions to equations involving noninvertible matrices, falling back to exact solutions for invertible matrices. -- I was thinking a little of streaming, and how rows of a matrix could be processed in chunks, and summed into the output, for the exact same result. fourier.py still at https://lists.cpunks.org/pipermail/cypherpunks/2022-November/106719.html