mlmc
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MLMC
Installation
Tutorials
Sampler creation
Samples scheduling
1. Prescribe the exact number of samples
2. Prescribe a target variance
Quantity tutorial
Mean estimates
Estimate moments and covariance matrix
Quantity selection
Binary operations
NumPy universal functions
Quantity selection by conditions
Results postprocessing
Probability density function approximation
MLMC package
Subpackages
Classes
Sampler
SamplingPool
SamplingPoolPBS
SampleStorage
SampleStorageHDF
Estimate
Moments
LevelSimulation
mlmc.plot
Submodules
mlmc.plot.plots module
mlmc.plot.violinplot module
Module contents
mlmc.quantity
Submodules
mlmc.quantity.quantity module
mlmc.quantity.quantity_estimate module
mlmc.quantity.quantity_spec module
mlmc.quantity.quantity_types module
Module contents
mlmc.random
Submodules
mlmc.random.correlated_field module
mlmc.random.frac_geom module
mlmc.random.gstools_wrapper module
Module contents
mlmc.sim
Submodules
mlmc.sim.simulation module
mlmc.sim.synth_simulation module
Module contents
mlmc.tool
Submodules
mlmc.tool.context_statprof module
mlmc.tool.distribution module
mlmc.tool.flow_mc module
mlmc.tool.gmsh_io module
mlmc.tool.hdf5 module
mlmc.tool.pbs_job module
mlmc.tool.process_base module
mlmc.tool.simple_distribution module
mlmc.tool.stats_tests module
Module contents
mlmc
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