tulip Tutorial

This project contains the jupyter notebooks and slides for the Berkeley-NTNU UQSA Workshop on June 28th, 2017.

The tutorial folder contains:

• 01_sparseRegression: Using RVM regression in tulip to build a surrogate of pressure/flow interface.
• 02_runOptimizeModel: Optimize an 0D circuit model of adult physiology under mild to severe heart failure conditions.
• 03_multiResolutionChaos: Use the multiresolution basis in tulip to perform regression of an analytic function with gradient discontinuity.

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/aculich/berkeleytutorial

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

Step 4 In the Jupyter notebook that opens, create a New >> Terminal and type git clone https://github.com/aculich/berkeleytutorial

Step 5 Close the terminal and navigate to the berkeleytutorial/tutorial directory in the Jupyter interface.

Contact

For questions about the tutorial content

Contact: Daniele Schiavazzi dschiavazzi@nd.edu

For questions about the Dockerfile or beta.mybinder.org

Contact: Aaron Culich brc+aculich@berkeley.edu

Please feel free to contact Berkeley Research Computing (BRC) if you have questions or if you want dedicated computational infrastructure if http://beta.mybinder.org/ does not provide enough power or if you need a dedicated resource for your own research or workshop.

• http://research-it.berkeley.edu/brc
• http://research-it.berkeley.edu/services/cloud-computing-support