Edit File: info.cpython-37.pyc
B ��Fd� � @ s" d Z ddlmZmZmZ dgZdS )aP 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 � )�division�absolute_import�print_function�coreN)�__doc__� __future__r r r �depends� r r �D/opt/alt/python37/lib64/python3.7/site-packages/numpy/linalg/info.py�<module>" s