no, back to CG; LSMR approach less robust

enzbus · Sep 10, 2024 · 4a3a008 · 4a3a008
1 parent 7c15d51
commit 4a3a008
Showing 1 changed file with 4 additions and 4 deletions.
diff --git a/project_euromir/solver_new.py b/project_euromir/solver_new.py
@@ -181,11 +181,11 @@ def _local_derivative_residual(xy):
     #     )
 
     # LSMR seems better than LSQR and CG, however need to count matrix evals
-    direction_calculator = LSMRLevenbergMarquardt(
-        residual_function=_local_residual,
-        derivative_residual_function=_local_derivative_residual,
+    # direction_calculator = LSMRLevenbergMarquardt(
+    #     residual_function=_local_residual,
+    #     derivative_residual_function=_local_derivative_residual,
         # warm_start=True, # also doesn't work with warm start
-        )
+    #     )
 
     # direction_calculator = DenseNewton( #WarmStartedCGNewton(
     #     hessian_function=_local_hessian,