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FriesischScott
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UncertaintyQuantification.jl
Uncertainty Quantification in Julia
MIT License
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julia
metamodeling
monte-carlo-simulation
reliability-analysis
sensitivity-analysis
uncertainty-quantification
readme
UncertaintyQuantification.jl
A Julia package for uncertainty quantification. Current functionality includes:
Simulation-based reliability analysis
Monte Carlo simulation
Quasi Monte Carlo simulation (Sobol, Halton, Latin Hypercube, Lattice Rule)
Line Sampling
Subset Simulation
Sensitivity analysis
Gradients
Sobol indices
Metamodeling
Polyharmonic splines
Polynomial Chaos Expansion
Response Surface Methodology
Third-party solvers
Connect to any solver by injecting random samples into source files
HPC interfacing with slurm