Optional textbooks
==================


The labs in this course are meant to be self-contained.  If you'd like additional information/greater depth here are
some texts that we have found useful:

- `Computational Physics with Python <http://www-personal.umich.edu/~mejn/computational-physics/>`_
  `Amazon.ca link <http://www.amazon.ca/Computational-Physics-Mark-Newman/dp/1480145513>`_

  * Comprehensive treatment of our course topics using physics-examples (but obviously the techniques and equations apply
    to all disciplines).  Good python intro material in Chapters 2 and 3 can be downloaded at the author's website.


- `Introduction to applied mathematics, Gilbert Strang <http://webcat1.library.ubc.ca/vwebv/holdingsInfo?bibId=1062079>`_
  Compact chapters on ordinary differential equations and linear algebra

- `Numerical analysis -- Burden and Faires <http://webcat1.library.ubc.ca/vwebv/holdingsInfo?searchId=221651&recCount=10&recPointer=1&bibId=2437826>`_

- `Elemenatary differential equations -- Boyce and de Prima <http://webcat1.library.ubc.ca/vwebv/holdingsInfo?searchId=221672&recCount=10&recPointer=1&bibId=491733>`_

  
- `Numerical recipes free online edition <http://apps.nrbook.com/fortran/index.html>`_
  
- `Schaum's outline of Numerical Analysis <http://www.amazon.ca/Schaums-Outline-Numerical-Analysis-Francis/dp/0070552215>`_


- `Schaum's outline of Differential Equations <http://www.amazon.ca/Schaums-Outline-Differential-Equations-Edition/dp/0071824855/ref=pd_sim_14_7?ie=UTF8&refRID=00K1TCAPNXMD652MYV6N>`_