Warm starting the projected Gauss-Seidel algorithm for granular matter simulation

2015/09/14 by Da Wang, Wang, Da, Martin Servin +3 · 1 citation
Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #physics.comp-ph

paper · pdf · doi:10.48550/arxiv.1509.04042

10 pages, 18 figures

arxiv created 2015/09/14 · arxiv updated 2015/09/15

Abstract

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.

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