ML-SGFEM User Guide

Catherine Powell, Georgios Papanikos

Research output: Other contribution


This is a User Guide for the MATLAB toolbox ML-SGFEM. The software can be used to investigate computational issues associated with multilevel stochastic Galerkin finite element approximation for elliptic PDEs with parameter-dependent coefficients. The distinctive feature of the software is the hierarchical a posteriori error estimation strategy it uses to drive the adaptive enrichment of the approximation space at each step. This document contains installation instructions, a brief mathematical description of the methodology, a sample session and a description of the directory structure.
Original languageEnglish
TypeML-SGFEM User Guide
Publication statusPublished - 9 Jun 2022


  • Software
  • Multilevel
  • Stochastic Galerkin
  • Adaptivity
  • Finite Element Methods


Dive into the research topics of 'ML-SGFEM User Guide'. Together they form a unique fingerprint.

Cite this