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Currently, the elliptic grid solver defaults to applying a successive line over relaxation for several iterations, then applying a full newton solve to converge the grid down to 1e-14.
The jacobian for the grid elliptic system is very sparse, so we should implement a sparse jacobian for the newton method.
It may also be faster than a full newton to apply a quasi-newton method. This could also be explored, though the sparse jacobian should be done first probably.
The text was updated successfully, but these errors were encountered:
This is perhaps unnecessary with the recent reduction in state size associated with fixing bugs related to ImplicitAD implementation. Though it may be still worth looking into a sparse jacobian down the line.
Currently, the elliptic grid solver defaults to applying a successive line over relaxation for several iterations, then applying a full newton solve to converge the grid down to 1e-14.
The jacobian for the grid elliptic system is very sparse, so we should implement a sparse jacobian for the newton method.
It may also be faster than a full newton to apply a quasi-newton method. This could also be explored, though the sparse jacobian should be done first probably.
The text was updated successfully, but these errors were encountered: