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projecten1/lib/python3.6/site-packages/numpy/linalg/info.py

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+"""\
+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
+
+"""
+from __future__ import division, absolute_import, print_function
+
+depends = ['core']