This repository contains MATLAB files for large-scale uncertainty quantification. The codes accompany the paper:
"Efficient Krylov subspace methods for uncertainty quantification in large Bayesian linear inverse problems" - Saibaba, Chung, and Petroske, Numerical Linear Algebra with Applications, 2020.
These codes require the following toolboxes:
AIRTOOLS: https://github.com/jakobsj/AIRToolsII
IRTools: https://github.com/jnagy1/IRtools
genHyBR: https://github.com/juliannechung/genHyBR