Kc@sLdZddklZddkTddklZeiZeiZdS(s 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 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 =============== ========================================================== =============== ========================================================== 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 =============== ========================================================== i(t__doc__(t*(tTesterN(Rtinfotlinalgt numpy.testingRttesttbench(((s;/usr/lib64/python2.6/site-packages/numpy/linalg/__init__.pyt+s