Commit 93e7c704 authored by Martin Reinecke's avatar Martin Reinecke


parent d92adfa3
Pipeline #26709 passed with stage
in 8 minutes and 29 seconds
......@@ -52,8 +52,7 @@ if __name__ == "__main__":
inverter = ift.ConjugateGradient(controller=IC)
D = (ift.SandwichOperator(R, N.inverse) + Sh.inverse).inverse
# MR FIXME: we can/should provide a preconditioner here as well!
D = ift.InversionEnabler(D, inverter)
D = ift.InversionEnabler(D, inverter, approximation=Sh)
m = D(j)
# Plotting
......@@ -10,7 +10,7 @@ from .steepest_descent import SteepestDescent
from .vl_bfgs import VL_BFGS
from .l_bfgs import L_BFGS
from .relaxed_newton import RelaxedNewton
from .scipy_minimizer import ScipyMinimizer, NewtonCG, L_BFGS_B
from .scipy_minimizer import ScipyMinimizer, NewtonCG, L_BFGS_B, ScipyCG
from .energy import Energy
from .quadratic_energy import QuadraticEnergy
from .line_energy import LineEnergy
......@@ -19,5 +19,5 @@ __all__ = ["LineSearch", "LineSearchStrongWolfe",
"IterationController", "GradientNormController",
"Minimizer", "ConjugateGradient", "NonlinearCG", "DescentMinimizer",
"SteepestDescent", "VL_BFGS", "RelaxedNewton", "ScipyMinimizer",
"NewtonCG", "L_BFGS_B", "Energy", "QuadraticEnergy", "LineEnergy",
"NewtonCG", "L_BFGS_B", "ScipyCG", "Energy", "QuadraticEnergy",
"LineEnergy", "L_BFGS"]
......@@ -38,7 +38,8 @@ minimizers = ['ift.VL_BFGS(IC)',
newton_minimizers = ['ift.RelaxedNewton(IC)']
quadratic_only_minimizers = ['ift.ConjugateGradient(IC)']
quadratic_only_minimizers = ['ift.ConjugateGradient(IC)',
'ift.ScipyCG(tol=1e-5, maxiter=300)']
slow_minimizers = ['ift.SteepestDescent(IC)']
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment