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"""
Core Linear Algebra Tools
=========================
=============== ==========================================================
Linear algebra basics
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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
=============== ==========================================================
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Eigenvalues and decompositions
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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
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Tensor operations
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tensorsolve Solve a linear tensor equation
tensorinv Calculate an inverse of a tensor
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Exceptions
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LinAlgError Indicates a failed linear algebra operation
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"""
from __future__ import division, absolute_import, print_function
# To get sub-modules
from .info import __doc__
from .linalg import *
from numpy.testing.nosetester import _numpy_tester
test = _numpy_tester().test
bench = _numpy_tester().bench
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