/GeneralizedSparsitySolvers

Code for the paper "Generalized sparsity-promoting solvers for Bayesian inverse problems".

Primary LanguageJupyter NotebookMIT LicenseMIT

GeneralizedSparsitySolvers

Code for the paper "Generalized sparsity-promoting solvers for Bayesian inverse problems".

We provide the code for experiments as Python Jupyter notebooks. To set up your environment prior to running the code, the steps are:

  1. Create a new conda environment with conda create --name gensparse python=3.11.
  2. Install the submodule jlinops with cd jlinops and then pip install -e ..
  3. Install other dependencies with pip install requirements.txt.