This short pull request changes from Numpy SVD function to Scipy SVD function. See issue #69 for more info as to why this choose was made.
These changes were made to orthogonal, permutation, rotational, and symmetric. I was thinking of adding a function variable "lapack_driver" to each of these functions with docstring
"lapack_driver : {"gesvd", "gesdd"}, optional Used in the singular value decomposition function from SciPy. Only allowed two options, with "gesvd" being less-efficient than "gesdd" but is more robust. Default is "gesvd".
Any thoughts @FarnazH
This short pull request changes from Numpy SVD function to Scipy SVD function. See issue #69 for more info as to why this choose was made.
These changes were made to orthogonal, permutation, rotational, and symmetric. I was thinking of adding a function variable "lapack_driver" to each of these functions with docstring
"lapack_driver : {"gesvd", "gesdd"}, optional Used in the singular value decomposition function from SciPy. Only allowed two options, with "gesvd" being less-efficient than "gesdd" but is more robust. Default is "gesvd".
Any thoughts @FarnazH