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38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
"""\
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Core Linear Algebra Tools
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Linear algebra basics:
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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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- 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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Eigenvalues and decompositions:
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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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Tensor operations:
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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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Exceptions:
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- LinAlgError Indicates a failed linear algebra operation
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"""
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from __future__ import division, absolute_import, print_function
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depends = ['core']
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