Closed dlkarnitz closed 5 years ago
I'm not sure what exactly is happening here, but maybe just set coarse: max size
to something like 1000? Also, you could look into rebalancing and setting aggregation: drop tol
to something bigger than 0.
@dlkarnit I agree with @cgcgcg, you should enable rebalancing. This option requires coordinates. A long time ago, the team discussed adding an option to stop coarsening if the rate dropped below some threshold, but I don't recall now if said option was ever implemented.
@dlkarnit it seems that @cgcgcg and @jhux2 answered your question so I will close this issue. Feel free to reopen it if you want more explanations or open another issue if you have further unrelated questions.
Question
@trilinos/muelu
How do I avoid this scenario documented by the MueLu output where the aggregation appears to no longer coarsen the problem? It seems to me that the higher numbered levels won't contribute to accelerating the convergence. It would be okay if I can provide settings that allow the coarsening to stop once the c ratio does not change or hits a threshold, or provide settings that allow the coarsening to successfully continue down to the max level.
This is generated by using the default settings for MueLu like this:
Number of levels = 10 Operator complexity = 1.19 Cycle type = V