On 2/11/2015 2:25 PM, cjw wrote: > I think of the matrix as a numeric object. What would the case be for having > a Boolean matrix?
It's one of my primary uses: https://en.wikipedia.org/wiki/Adjacency_matrix Numpy alread provides SVD: http://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.svd.html A lot of core linear algebra is in `numpy.linalg`, and SciPy has much more. Remember for matrix `M` you can always apply any numpy function to `M.A`. I think gains could be in lazy evaluation structures (e.g., a KroneckerProduct object that never actually produces the product unless forced to.) Cheers, Alan _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
