| Server IP : 192.158.238.246 / Your IP : 3.148.217.26 Web Server : LiteSpeed System : Linux uniform.iwebfusion.net 4.18.0-553.27.1.lve.1.el8.x86_64 #1 SMP Wed Nov 20 15:58:00 UTC 2024 x86_64 User : jenniferflocom ( 1321) PHP Version : 8.1.32 Disable Function : NONE MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : ON | Sudo : OFF | Pkexec : OFF Directory : /opt/alt/python37/lib64/python3.7/site-packages/numpy/linalg/__pycache__/ |
Upload File : |
B
��Fd� � @ s" d Z ddlmZmZmZ dgZdS )aP 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
� )�division�absolute_import�print_function�coreN)�__doc__�
__future__r r r �depends� r r �D/opt/alt/python37/lib64/python3.7/site-packages/numpy/linalg/info.py�<module>" s