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Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

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Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications

This book is a compilation of lecture notes from the MIT Course 18.337J/6.338J: Parallel Computing and Scientific Machine Learning.Links to the old noteshttps://mitmath.github.io/18337 will redirect here.

This repository is meant to be a live document, updating to continuously add the latest details on methods from the field ofscientific machine learning and the latest techniques for high-performance computing.

To view this book, go tobook.sciml.ai.

Editing the SciML Book

This is aFranklin.jl site.Much of the material originated from Julia Markdown Documents (*.jmd).Each of these documents areWeave.jl-ed with a custom template,and the resulting HTML is inserted into a corresponding markdown file. Updatingthe files in_weave will automatically update the webpages.

The theme is adapted fromTufte CSS.