Riemann Problems and Jupyter Solutions Theory and Approximate Solvers for Hyperbolic PDEs by David I. Ketcheson, Randall J. LeVeque, and Mauricio J. del Razo SIAM, 2020.   ISBN: 978-1-611976-20-5 ebook: DOI 10.1137/1.9781611976212    bibtex citation   SIAM bookstore page Contents, Preface, Index

Parts I and II have been published by SIAM (in June, 2020) in the Fundamentals of Algorithms series.
These notebooks and some additional ones still under development are available at the links below.

Please read about the License if you wish to use or modify this material.

Please check the Errata for possible corrections.

If you are interested in learning about the tools we used in creating this textbook, please see Writing a book with Jupyter notebooks from the Preface, and the Github repository wiki for more details. You may also be interested in our SIAM News article from January, 2021, Writing an Interactive Textbook.

Ways to view the notebooks:

• View the notebooks rendered as html (Note that interactive widgets do not work when viewed this way.)

• View the GitHub repository of notebooks
  Scroll to the bottom where the README is displayed for more information about this book and how to run the notebooks.
  Note that the FA16 branch of the repository contains the notebooks corresponding to the printed book, while the master branch may have been updated. (See also the Errata).

• Start up a notebook server on binder running these notebooks. (This may take several minutes to launch.)

These notebooks explore the solution of Riemann problems for hyperbolic PDEs in an interactive manner.

Here's a teaser.... See the Shallow water notebook for more details.