Spectral Methods – Theory¶
Welcome to this Jupyter Book on Spectral Methods. This is a short introduction to some of the basic concepts, and correspond to a lecture series of about six hours, with one larger homework at the end. The book’s sources are on github and any feedback is welcome.
This book is based on some older lectures notes by Philipp Schlatter, and were extended by together with Saleh Rezaeiravesh for the SESE course on Nek5000 – Theory, Implementation and Optimisation.
February 2021 Saleh Rezaeiravesh and Philipp Schlatter.
Note
These lecture notes were built using the new Sphinx-based Jupyter Book 2.0 tool set, as part of the ExecutableBookProject. They are intended mainly as a demonstration of these tools. Instructions for how to build them from source can be found in the Jupyter Book documentation.