Open hidmic opened 3 years ago
Worst case peak gain in ltitop is currently estimated by brute force:
ltitop
https://github.com/hidmic/ltitop/blob/d75f165117d108ba5496b29c9920de04fa282c3d/src/ltitop/models/analysis.py#L45-L56
Accuracy guarantees are thus quite loose, and the resulting performance is awful. It calls for a better approach.
I've attempted to use fixif.WCPG for this, but performance isn't great either and the requirement on the system matrix A to be diagonalizable is a bit limiting.
fixif.WCPG
Worst case peak gain in
ltitop
is currently estimated by brute force:https://github.com/hidmic/ltitop/blob/d75f165117d108ba5496b29c9920de04fa282c3d/src/ltitop/models/analysis.py#L45-L56
Accuracy guarantees are thus quite loose, and the resulting performance is awful. It calls for a better approach.