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