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 notes https://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 of scientific machine learning and the latest techniques for high-performance computing.

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

Editing the SciML Book

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

The theme is adapted from Tufte CSS.