new config

mlmc/conf/mlmc_tpconvergencetest.conf → mlmc/conf/mlmc_vs_sg.conf

+# ----- Problem Settings -----
+Experiment = MLMCExperiment
+#Experiment = ConvergenceTest
+
+#Problem = StochasticPollution1D
+#Problem = StochasticPollutionCosHat1D
+#Problem = StochasticPollution2D
+#Problem = StochasticPollutionCosHat2D
+Problem = StochasticPollutionMollifiedBar2D
+
 Model = DGTransport
+#Model = PGTransport
 
 Overlap = dG1
 flux_alpha = 1  #Upwind: 1, Central: 0
-deg = 2 #DG
+# Streamline diffusion parameter
+
 degree = 2
-Degree = 2
+plevel = 2
 
-#Problem = StochasticPollution1D
-#Problem = DeterministicPollution1D
-#Problem = StochasticPollution2D
-#Problem = DeterministicPollution2D
-#Problem = StochasticPollutionCosHat2D
-#Problem = DeterministicPollutionCosHat2D
-#Problem = DeterministicPollutionCosHatSquare500
-Problem = StochasticPollutionMollifiedBar2D
+Functional = Mass
+#Funcitonal = Energy
+#Functional = Outflow
 
-scaling = 8
+# ----- Time Series -----
 TimeSeries = uniform
+rkorder = -2
 startTime = 0.0
 endTime = 1.0
+scaling = 8
 Kmax = 250
-Keps = 1e-5
-
-functional = Mass
-#funcitonal = Energy
-#functional = Outflow
-
-#rkorder = 0  #Exponential integrator
-#rkorder = 1  #Explicit Euler
-#rkorder = 2  #Heun
-#rkorder = 2  #Runge
-rkorder = -2  #Implicit MP-rule
-#rkorder = 1000  #Polynomial Krylov-Arnoldi method
-
 gamma = 0.01
+Keps = 1e-5
 
-StochasticField = LogNormal
-#StochasticField = Gaussian
-
-Experiment = ConvergenceTest
-#Experiment = MLMCExperiment
-#Experiment = MLMCOverEpsilon
-
-initLevels = 4, 5, 6, 7, 8
-initSampleAmount = 100, 100, 100, 100, 100
-uniformSampleAmount = 100
-
+# ----- Multilevel Monte Carlo -----
+maxLevel = 7
 epsilon = 0.01
 mcOnly = false
-epsilonList = 0.01, 0.005, 0.003, 0.001
-
-maxLevel = 9
-plevel = 3
-
-MainVerbose = 1
-MCVerbose = 0
-MLMCVerbose = 1
-PDEVerbose = 0
-GeneratorVerbose = 0
-AssembleVerbose = 0
-
-GeneratorPlotting = 0
-MCPlotting = 0
-MLMCPlotting = 0
+initLevels = [4, 5, 6]
+initSampleAmount = [8, 4, 2]
+uniformSampleAmount = 100
 
-# Stochastic Field
+# ----- Stochastic Field -----
+StochasticField = LogNormal
 mean = 1.0
 sigma = 1.0
 norm_p = 2
-lambda1 = 0.1
-lambda2 = 0.1
+lambda1 = 0.10
+lambda2 = 0.10
 smoothing = 1.9
 evtol = 1e-10
 
-# Other
-Distribution = RCB
-LinearSolver = GMRES
-Preconditioner = LIB_PS
-#Preconditioner = SGS
-#Preconditioner = GaussSeidel
-#Preconditioner = Jacobi
-
+# ----- Solver -----
 LinearReduction = 1e-12
 LinearEpsilon = 1e-10
 LinearSteps = 3000
-
 NewtonSteps = 1
 NewtonLineSearchSteps = 0
 
-ConfigVerbose = 3
-TimeLevel = -1
+# ----- Plotting -----
+GeneratorPlotting = 1
+MCPlotting = 1
+
+# ----- Verbose -----
+MCVerbose = 1
+PDEVerbose = 1
+MainVerbose = 1
+MLMCVerbose = 1
+ConfigVerbose = 0
 LinearVerbose = -1
+NewtonVerbose = 1
+GeneratorVerbose = 1
+TimeIntegratorVerbose = 1
+
+# ----- Logging -----
+TimeLevel = -1
 MuteLevel = -1
-NewtonVerbose = -1
-DebugLevel = -1
+DebugLevel = -1
\ No newline at end of file