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:

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.