""" Core Linear Algebra Tools ========================= =============== ========================================================== Linear algebra basics ========================================================================== norm Vector or matrix norm inv Inverse of a square matrix solve Solve a linear system of equations det Determinant of a square matrix slogdet Logarithm of the determinant of a square matrix lstsq Solve linear least-squares problem pinv Pseudo-inverse (Moore-Penrose) calculated using a singular value decomposition matrix_power Integer power of a square matrix matrix_rank Calculate matrix rank using an SVD-based method =============== ========================================================== =============== ========================================================== Eigenvalues and decompositions ========================================================================== eig Eigenvalues and vectors of a square matrix eigh Eigenvalues and eigenvectors of a Hermitian matrix eigvals Eigenvalues of a square matrix eigvalsh Eigenvalues of a Hermitian matrix qr QR decomposition of a matrix svd Singular value decomposition of a matrix cholesky Cholesky decomposition of a matrix =============== ========================================================== =============== ========================================================== Tensor operations ========================================================================== tensorsolve Solve a linear tensor equation tensorinv Calculate an inverse of a tensor =============== ========================================================== =============== ========================================================== Exceptions ========================================================================== LinAlgError Indicates a failed linear algebra operation =============== ========================================================== """ from __future__ import division, absolute_import, print_function # To get sub-modules from .info import __doc__ from .linalg import * from numpy.testing import Tester test = Tester().test bench = Tester().test