README

Material has been collected by

• F. Moreno-Insertis (2018).
  Course on numerical simulation techniques for fluid dynamics.
  Universidad de La Laguna (Tenerife, Spain).

• V. H. Hansteen (2018).
  AST 5110 Numerical modeling.
  University of Oslo (Oslo, Norway).

• W. H. Press et al..
  Numerical recipes.
  Cambridge University Press.
  http://numerical.recipes

• Culbert B. Laney.
  Computational Gasdynamics.
  University of Colorado, Cambridge University Press

• K. W. Morton and D. F. Mayers.
  Numerical Solution of Partial Differential Equations: And introduction.
  Computing Laboratory, University of Oxford, Cambridge University Press.

Dependencies

• Anaconda 3 includes most of the required libraries.

• We will have tests to run in CI/CD, so pytest will be convenient.

• For good practices and clean the code pre-commit. Run pre-commit run -a to clean the code.

• In addition, you will create your own python library. As a starting point, fork the numerical methods repository for AST5110.

Download

In order to solve the excersices, it is highly recommended to create a private fork and provide access to jumasy1980@gmail.com. This will allow me interactively to follow the progress of each of the students (fork info).

Get jupyter-book

If interested to have a notebook of the exersices and wiki, you can download from (jupyter-book).