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Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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Classes | |
| class | Matrix |
| class | SignedLogDet |
Functions | |
| Matrix | eye (int n) |
| Matrix | nearest_psd (Union[Matrix, NestedList] R, float thr=1e-12) |
| Matrix | cholesky_L (Union[Matrix, NestedList] R) |
Dense real-matrix utilities backed by the C++ ``RealMatrix`` type. This module provides a Python-friendly wrapper around the C++ dense matrix implementation used throughout the statistics and copula stack. Inputs and outputs are converted to native Python containers, while heavy linear-algebra operations are delegated to the C++ backend.
Compute the lower Cholesky factor of a matrix.
Args:
R: Input symmetric positive-semidefinite matrix.
Returns:
Matrix: Lower triangular Cholesky factor as returned by C++.
Definition at line 264 of file RealMatrix.py.
| Matrix RealMatrix.eye | ( | int | n | ) |
Create an identity matrix.
Args:
n: Matrix dimension.
Returns:
Matrix: ``n x n`` identity matrix.
Definition at line 231 of file RealMatrix.py.
Project a matrix to the nearest positive semidefinite matrix.
This helper is used by copula construction to regularize correlation
matrices before decomposition.
Args:
R: Input matrix or nested list.
thr: Numerical threshold used by the C++ routine.
Returns:
Matrix: Regularized positive-semidefinite matrix.
Definition at line 243 of file RealMatrix.py.