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