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UQSA and Polynomial Chaos with chaospy Tutorial

This project contains the jupyter notebooks and slides for the Berkeley-NTNU UQSA Workshop on June 27th, 2017.

The repository contains: a number of ipython notebooks to present concepts and code examples for UQSA. The notebook index.ipynb serves as a table of contents and suggested order for the content.

How to run the code:

Step 1 Go to: http://beta.mybinder.org/

Step 2 In the GitHub repo or URL field enter: https://github.com/utsekaj42/uqsa_tutorials

Step 3 Click launch and wait for the Dockerfile to build and then it will launch a Jupyter Notebook

Step 4 navigate to the index.ipynb python notebookin the Jupyter interface.

Contact

For questions about the tutorial content

Contact: Jacob Sturdy jacob.t.sturdy@ntnu.no or Leif Rune Hellevik leif.r.hellevik@ntnu.no

Name		Name	Last commit message	Last commit date
Latest commit History 45 Commits
chaospy		chaospy
figs		figs
README.md		README.md
TutorialPresentation.pdf		TutorialPresentation.pdf
example_wall_models.py		example_wall_models.py
example_wall_models_2.py		example_wall_models_2.py
exercises.ipynb		exercises.ipynb
exercises_with_solutions.ipynb		exercises_with_solutions.ipynb
external_evaluations.csv		external_evaluations.csv
gpc_convergence_check.py		gpc_convergence_check.py
index.ipynb		index.ipynb
introduction_chaospy.py		introduction_chaospy.py
introduction_gpc.ipynb		introduction_gpc.ipynb
ishigami_example.ipynb		ishigami_example.ipynb
ishigami_example.py		ishigami_example.py
kt8302_env.yaml		kt8302_env.yaml
local_vs_global.ipynb		local_vs_global.ipynb
monte_carlo.ipynb		monte_carlo.ipynb
monte_carlo.py		monte_carlo.py
preliminaries.ipynb		preliminaries.ipynb
preliminaries.py		preliminaries.py
requirements.txt		requirements.txt
sensitivity_examples.py		sensitivity_examples.py
sensitivity_examples_nonlinear.py		sensitivity_examples_nonlinear.py
sensitivity_higher_order.ipynb		sensitivity_higher_order.ipynb
sensitivity_introduction.ipynb		sensitivity_introduction.ipynb
wall_models.ipynb		wall_models.ipynb

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