numpy.linalg.slogdet(a)

numpy.linalg.det(a)

numpy.linalg.eigh(a, UPLO='L')

numpy.linalg.lstsq(a, b, rcond=-1)

numpy.linalg.cholesky(a)

numpy.outer(a, b, out=None)

exception numpy.linalg.LinAlgError

numpy.linalg.eigvals(a)

numpy.linalg.eig(a)

numpy.dot(a, b, out=None) Dot product of two arrays. For 2-D arrays it is equivalent to matrix multiplication, and for 1-D