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Currently working on a finite field linalg library for some reseach and I'm looking to release it in the future. I wanted to compare and see the performance difference to the best python package, but my main use case is incredibly sparse matrices.
The text was updated successfully, but these errors were encountered:
To my understanding, Python supports sparse matrices with scipy.sparse. As far as I understand, there's no way to override those calls in np.ndarray, as I have done for other NumPy functions.
So at present, no, galois has no spare matrix support. If there is a technical roadmap, I'd be happy to support it in the future.
Currently working on a finite field linalg library for some reseach and I'm looking to release it in the future. I wanted to compare and see the performance difference to the best python package, but my main use case is incredibly sparse matrices.
The text was updated successfully, but these errors were encountered: