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

numpy.linalg.det(a)

numpy.linalg.tensorinv(a, ind=2)

numpy.matmul(a, b, out=None) Matrix product of two arrays. The behavior depends on the arguments in the following way.

numpy.linalg.cholesky(a)

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

numpy.linalg.eigvals(a)

numpy.linalg.eig(a)

numpy.linalg.matrix_rank(M, tol=None)

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