Selected Decomposition Routines
Home Page: https://vincent-maillou.github.io/SDR/
License: BSD 3-Clause "New" or "Revised" License
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SerinV bundle implementations of several selected factorization, inversion and solver algorithms for severals types of block-structured sparse matrices.
# Recommended: Create a new conda environment with python version above 3.9
conda create --name serinv_env python=3.11
# Activate the created environment
conda activate serinv_env
# Move to the root of the repository
cd /path/to/serinv/
# Install the package in editable mode
pip install -e .
Some cholesky decomposition routines doesn't use the included transpose function of scipy.linalg.solve_triangular. This should be the case
For LU factorization the scipy.linalg.triangular_solve should be using the "unit diag" functions
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