We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hey there! I was reading the MFEM implementation of AMR in https://docs.mfem.org/html/classmfem_1_1ThresholdRefiner.html#a38c1c7e70aa4854dac52e5a076c220e7 and I noticed you were sequentially traversing all the elements in the mesh each time you were going to refine it, so I was wondering if it was possible to refine the mesh in a more efficient way. For instance, I know that Paramesh(https://ntrs.nasa.gov/api/citations/19990110710/downloads/19990110710.pdf) used some sort of hierarchical approach dividing the mesh into half's (similarly to a binary search). Additionally, I was wondering if there were plans to implement AMR with reinforcement learning in MFEM, as shown in this paper from LLNL scientists (https://proceedings.mlr.press/v206/yang23e/yang23e.pdf).
Best Regards,
The text was updated successfully, but these errors were encountered:
ping: @jakubcerveny, @rw-andersonm, @tarikdzanic
Sorry, something went wrong.
I don't think there are currently any plans to implement the RL for AMR approach in mainline MFEM.
tzanio
No branches or pull requests
Hey there! I was reading the MFEM implementation of AMR in https://docs.mfem.org/html/classmfem_1_1ThresholdRefiner.html#a38c1c7e70aa4854dac52e5a076c220e7 and I noticed you were sequentially traversing all the elements in the mesh each time you were going to refine it, so I was wondering if it was possible to refine the mesh in a more efficient way. For instance, I know that Paramesh(https://ntrs.nasa.gov/api/citations/19990110710/downloads/19990110710.pdf) used some sort of hierarchical approach dividing the mesh into half's (similarly to a binary search). Additionally, I was wondering if there were plans to implement AMR with reinforcement learning in MFEM, as shown in this paper from LLNL scientists (https://proceedings.mlr.press/v206/yang23e/yang23e.pdf).
Best Regards,
The text was updated successfully, but these errors were encountered: