Welcome to hippylib2muq’s documentation!¶
_ ___ ____ ______ ___ _ _ __ __ _ _ ___
| |__ |_ _| _ \| _ \ \ / / (_) |__ | \/ | | | |/ _ \
| '_ \ | || |_) | |_) \ V /| | | '_ \ _____| |\/| | | | | | | |
| | | || || __/| __/ | | | | | |_) |_____| | | | |_| | |_| |
|_| |_|___|_| |_| |_| |_|_|_.__/ |_| |_|\___/ \__\_\
Scalable Markov chain Monte Carlo Sampling Methods for Large-scale Bayesian
Inverse Problems Governed by PDEs
hIPPYlib-MUQ is a Python interface between two open source softwares, hIPPYlib
and MUQ, which have complementary capabilities. hIPPYlib
is an extensible software package aimed at solving deterministic and linearized Bayesian inverse
problems governed by PDEs.
MUQ is a collection of tools for solving uncertainty quantification problems.
hIPPYlib-MUQ integrates these two libraries into a unique software framework,
allowing users to implement the state-of-the-art Bayesian inversion algorithms
in a seamless way.
Please look into example notebook below to get to know what hIPPYlib-MUQ
does with step-by-step implementations.