ReducedComplexityModeling
Documentation for ReducedComplexityModeling.
ReducedComplexityModeling.AutoEncoderModelReducedComplexityModeling.CartesianParameterSamplerReducedComplexityModeling.ParameterReducedComplexityModeling.ParameterSamplerReducedComplexityModeling.ParameterSpaceReducedComplexityModeling.ReducedBasisModelReducedComplexityModeling.h5loadReducedComplexityModeling.h5saveReducedComplexityModeling.learnReducedComplexityModeling.read_parametersReducedComplexityModeling.sampleReducedComplexityModeling.save_parameters
ReducedComplexityModeling.AutoEncoderModel — TypeAutoencodersUses Variational Autoencoders to represent the data in its reduced state.
ReducedComplexityModeling.CartesianParameterSampler — TypeReducedComplexityModeling.Parameter — TypeReducedComplexityModeling.ParameterSampler — TypeReducedComplexityModeling.ParameterSpace — TypeParameterSpace collects all parameters of a system as well as samples in the parameter space.
ReducedComplexityModeling.ReducedBasisModel — TypeReduced Basis
Uses ModelOrderReduction methods from ReducedBasisMethods.jl to represent the data in latent space.
ReducedComplexityModeling.h5load — MethodLoad ParameterSpace
ReducedComplexityModeling.h5save — Methodsave ParameterSpace
ReducedComplexityModeling.learn — Methodlearn(prob)Uses data from high-fidelity simulations/experiments and learns the latent representation of the problem.
ReducedComplexityModeling.read_parameters — Functionread parameters
ReducedComplexityModeling.sample — MethodReducedComplexityModeling.save_parameters — Methodsave parameters