The effect on the convergence of warm starting the projected Gauss-Seidel solver for nonsmooth discrete element simulation of granular matter are investigated. It is found that the computational performance can be increased by a factor 2 to 5.
Cite
@article{arxiv.1509.04042,
title = {Warm starting the projected Gauss-Seidel algorithm for granular matter simulation},
author = {Da Wang and Martin Servin and Tomas Berglund},
journal= {arXiv preprint arXiv:1509.04042},
year = {2015}
}