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name = " UncertaintyQuantification"
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uuid = " 7183a548-a887-11e9-15ce-a56ab60bad7a"
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authors = [" Jasper Behrensdorf <behrensdorf@irz.uni-hannover.de>" ]
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- version = " 0.1 .0"
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+ version = " 0.2 .0"
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[deps ]
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Accessors = " 7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"
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[ ![ Coverage Status] ( https://codecov.io/gh/FriesischScott/UncertaintyQuantification.jl/branch/master/graph/badge.svg?token=LfslMAoWvA )] ( https://codecov.io/gh/FriesischScott/UncertaintyQuantification.jl )
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[ ![ DOI] ( https://zenodo.org/badge/DOI/10.5281/zenodo.3993817.svg )] ( https://doi.org/10.5281/zenodo.3993817 )
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- A Julia package for uncertainty quantification. Current (very limited) functionality includes:
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+ A Julia package for uncertainty quantification. Current functionality includes:
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- * Simulation-based Reliability Analysis (Monte Carlo, Line Sampling)
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- * Sensitivity Analysis (local)
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+ * Simulation-based reliability analysis
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+ * Monte Carlo simulation
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+ * Quasi Monte Carlo simulation (Sobol, Halton)
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+ * Line Sampling
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+ * Subset Simulation
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+ * Sensitivity analysis
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+ * Gradients
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+ * Sobol indices
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+ * Metamodeling
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+ * Polyharmonic splines
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+ * Third-party solvers
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+ * Connect to any solver by injecting random samples into source files
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* Sobol indices
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* Metamodeling
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* Polyharmonic splines
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+ * Third-party solvers
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+ * Connect to any solver by injecting random samples into source files
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---
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## Installation
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