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The Newton's cradle example seems to gain energy over time with the TGS soft solver. The balls have a coefficient of restitution of 1.
2024-05-10.14-03-57.mp4
Increasing the number of iterations doesn't help much, as the same occurs when using 40 solver iterations. However, the legacy PGS solver behaves significantly better. So the new solver appears to have a restitution regression.
2024-05-10.14-19-59.mp4
This is on the master branch, with untouched default parameters.
Of course, it's worth noting that a Newton's cradle might not be the best stability or robustness test, and results can vary greatly depending on the setup and how large the gap between the balls is. But it might still be worth looking into considering they gain energy so easily here.
The text was updated successfully, but these errors were encountered:
The Newton's cradle example seems to gain energy over time with the TGS soft solver. The balls have a coefficient of restitution of 1.
2024-05-10.14-03-57.mp4
Increasing the number of iterations doesn't help much, as the same occurs when using 40 solver iterations. However, the legacy PGS solver behaves significantly better. So the new solver appears to have a restitution regression.
2024-05-10.14-19-59.mp4
This is on the master branch, with untouched default parameters.
Of course, it's worth noting that a Newton's cradle might not be the best stability or robustness test, and results can vary greatly depending on the setup and how large the gap between the balls is. But it might still be worth looking into considering they gain energy so easily here.
The text was updated successfully, but these errors were encountered: