peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/scipy
/linalg
/__init__.py
""" | |
==================================== | |
Linear algebra (:mod:`scipy.linalg`) | |
==================================== | |
.. currentmodule:: scipy.linalg | |
.. toctree:: | |
:hidden: | |
linalg.blas | |
linalg.cython_blas | |
linalg.cython_lapack | |
linalg.interpolative | |
linalg.lapack | |
Linear algebra functions. | |
.. eventually, we should replace the numpy.linalg HTML link with just `numpy.linalg` | |
.. seealso:: | |
`numpy.linalg <https://www.numpy.org/devdocs/reference/routines.linalg.html>`__ | |
for more linear algebra functions. Note that | |
although `scipy.linalg` imports most of them, identically named | |
functions from `scipy.linalg` may offer more or slightly differing | |
functionality. | |
Basics | |
====== | |
.. autosummary:: | |
:toctree: generated/ | |
inv - Find the inverse of a square matrix | |
solve - Solve a linear system of equations | |
solve_banded - Solve a banded linear system | |
solveh_banded - Solve a Hermitian or symmetric banded system | |
solve_circulant - Solve a circulant system | |
solve_triangular - Solve a triangular matrix | |
solve_toeplitz - Solve a toeplitz matrix | |
matmul_toeplitz - Multiply a Toeplitz matrix with an array. | |
det - Find the determinant of a square matrix | |
norm - Matrix and vector norm | |
lstsq - Solve a linear least-squares problem | |
pinv - Pseudo-inverse (Moore-Penrose) using lstsq | |
pinvh - Pseudo-inverse of hermitian matrix | |
kron - Kronecker product of two arrays | |
khatri_rao - Khatri-Rao product of two arrays | |
orthogonal_procrustes - Solve an orthogonal Procrustes problem | |
matrix_balance - Balance matrix entries with a similarity transformation | |
subspace_angles - Compute the subspace angles between two matrices | |
bandwidth - Return the lower and upper bandwidth of an array | |
issymmetric - Check if a square 2D array is symmetric | |
ishermitian - Check if a square 2D array is Hermitian | |
LinAlgError | |
LinAlgWarning | |
Eigenvalue Problems | |
=================== | |
.. autosummary:: | |
:toctree: generated/ | |
eig - Find the eigenvalues and eigenvectors of a square matrix | |
eigvals - Find just the eigenvalues of a square matrix | |
eigh - Find the e-vals and e-vectors of a Hermitian or symmetric matrix | |
eigvalsh - Find just the eigenvalues of a Hermitian or symmetric matrix | |
eig_banded - Find the eigenvalues and eigenvectors of a banded matrix | |
eigvals_banded - Find just the eigenvalues of a banded matrix | |
eigh_tridiagonal - Find the eigenvalues and eigenvectors of a tridiagonal matrix | |
eigvalsh_tridiagonal - Find just the eigenvalues of a tridiagonal matrix | |
Decompositions | |
============== | |
.. autosummary:: | |
:toctree: generated/ | |
lu - LU decomposition of a matrix | |
lu_factor - LU decomposition returning unordered matrix and pivots | |
lu_solve - Solve Ax=b using back substitution with output of lu_factor | |
svd - Singular value decomposition of a matrix | |
svdvals - Singular values of a matrix | |
diagsvd - Construct matrix of singular values from output of svd | |
orth - Construct orthonormal basis for the range of A using svd | |
null_space - Construct orthonormal basis for the null space of A using svd | |
ldl - LDL.T decomposition of a Hermitian or a symmetric matrix. | |
cholesky - Cholesky decomposition of a matrix | |
cholesky_banded - Cholesky decomp. of a sym. or Hermitian banded matrix | |
cho_factor - Cholesky decomposition for use in solving a linear system | |
cho_solve - Solve previously factored linear system | |
cho_solve_banded - Solve previously factored banded linear system | |
polar - Compute the polar decomposition. | |
qr - QR decomposition of a matrix | |
qr_multiply - QR decomposition and multiplication by Q | |
qr_update - Rank k QR update | |
qr_delete - QR downdate on row or column deletion | |
qr_insert - QR update on row or column insertion | |
rq - RQ decomposition of a matrix | |
qz - QZ decomposition of a pair of matrices | |
ordqz - QZ decomposition of a pair of matrices with reordering | |
schur - Schur decomposition of a matrix | |
rsf2csf - Real to complex Schur form | |
hessenberg - Hessenberg form of a matrix | |
cdf2rdf - Complex diagonal form to real diagonal block form | |
cossin - Cosine sine decomposition of a unitary or orthogonal matrix | |
.. seealso:: | |
`scipy.linalg.interpolative` -- Interpolative matrix decompositions | |
Matrix Functions | |
================ | |
.. autosummary:: | |
:toctree: generated/ | |
expm - Matrix exponential | |
logm - Matrix logarithm | |
cosm - Matrix cosine | |
sinm - Matrix sine | |
tanm - Matrix tangent | |
coshm - Matrix hyperbolic cosine | |
sinhm - Matrix hyperbolic sine | |
tanhm - Matrix hyperbolic tangent | |
signm - Matrix sign | |
sqrtm - Matrix square root | |
funm - Evaluating an arbitrary matrix function | |
expm_frechet - Frechet derivative of the matrix exponential | |
expm_cond - Relative condition number of expm in the Frobenius norm | |
fractional_matrix_power - Fractional matrix power | |
Matrix Equation Solvers | |
======================= | |
.. autosummary:: | |
:toctree: generated/ | |
solve_sylvester - Solve the Sylvester matrix equation | |
solve_continuous_are - Solve the continuous-time algebraic Riccati equation | |
solve_discrete_are - Solve the discrete-time algebraic Riccati equation | |
solve_continuous_lyapunov - Solve the continuous-time Lyapunov equation | |
solve_discrete_lyapunov - Solve the discrete-time Lyapunov equation | |
Sketches and Random Projections | |
=============================== | |
.. autosummary:: | |
:toctree: generated/ | |
clarkson_woodruff_transform - Applies the Clarkson Woodruff Sketch (a.k.a CountMin Sketch) | |
Special Matrices | |
================ | |
.. autosummary:: | |
:toctree: generated/ | |
block_diag - Construct a block diagonal matrix from submatrices | |
circulant - Circulant matrix | |
companion - Companion matrix | |
convolution_matrix - Convolution matrix | |
dft - Discrete Fourier transform matrix | |
fiedler - Fiedler matrix | |
fiedler_companion - Fiedler companion matrix | |
hadamard - Hadamard matrix of order 2**n | |
hankel - Hankel matrix | |
helmert - Helmert matrix | |
hilbert - Hilbert matrix | |
invhilbert - Inverse Hilbert matrix | |
leslie - Leslie matrix | |
pascal - Pascal matrix | |
invpascal - Inverse Pascal matrix | |
toeplitz - Toeplitz matrix | |
Low-level routines | |
================== | |
.. autosummary:: | |
:toctree: generated/ | |
get_blas_funcs | |
get_lapack_funcs | |
find_best_blas_type | |
.. seealso:: | |
`scipy.linalg.blas` -- Low-level BLAS functions | |
`scipy.linalg.lapack` -- Low-level LAPACK functions | |
`scipy.linalg.cython_blas` -- Low-level BLAS functions for Cython | |
`scipy.linalg.cython_lapack` -- Low-level LAPACK functions for Cython | |
""" # noqa: E501 | |
from ._misc import * | |
from ._cythonized_array_utils import * | |
from ._basic import * | |
from ._decomp import * | |
from ._decomp_lu import * | |
from ._decomp_ldl import * | |
from ._decomp_cholesky import * | |
from ._decomp_qr import * | |
from ._decomp_qz import * | |
from ._decomp_svd import * | |
from ._decomp_schur import * | |
from ._decomp_polar import * | |
from ._matfuncs import * | |
from .blas import * | |
from .lapack import * | |
from ._special_matrices import * | |
from ._solvers import * | |
from ._procrustes import * | |
from ._decomp_update import * | |
from ._sketches import * | |
from ._decomp_cossin import * | |
# Deprecated namespaces, to be removed in v2.0.0 | |
from . import ( | |
decomp, decomp_cholesky, decomp_lu, decomp_qr, decomp_svd, decomp_schur, | |
basic, misc, special_matrices, matfuncs, | |
) | |
__all__ = [s for s in dir() if not s.startswith('_')] | |
from scipy._lib._testutils import PytestTester | |
test = PytestTester(__name__) | |
del PytestTester | |