Commit 69c43e35 authored by niklas.baumgarten's avatar niklas.baumgarten
Browse files

new default config

parent 8ae6e497
# ----- 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
degree = 2
Degree = 2
# Streamline diffusion parameter
#Problem = StochasticPollution1D
#Problem = DeterministicPollution1D
#Problem = StochasticPollutionCosHat1D
#Problem = DeterministicPollutionCosHat1D
degree = 2
plevel = 2
#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
initSampleAmount = 12, 6, 2
uniformSampleAmount = 100
epsilon = 0.003
mcOnly = false
epsilonList = 0.01, 0.005, 0.003, 0.001
# ----- Multilevel Monte Carlo -----
maxLevel = 9
plevel = 3
MainVerbose = 2
MCVerbose = 2
MLMCVerbose = 2
PDEVerbose = 1
GeneratorVerbose = 0
AssembleVerbose = 1
GeneratorPlotting = 4
MCPlotting = 3
MLMCPlotting = 2
epsilon = 0.01
mcOnly = false
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 = 2
TimeLevel = -1
# ----- Plotting -----
GeneratorPlotting = 1
MCPlotting = 1
# ----- Verbose -----
MCVerbose = 1
PDEVerbose = 1
MainVerbose = 1
MLMCVerbose = 1
ConfigVerbose = -1
LinearVerbose = -1
MuteLevel = -1
NewtonVerbose = -1
DebugLevel = -1
GeneratorVerbose = -1
# ----- Logging -----
TimeLevel = -1
MuteLevel = -1
DebugLevel = -1
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