Computational Physics

Software for UB's Computational Physics class.

This updates the now-deprecated project of PHY410.

This software package is to demonstrate the example code in the UB Computational Physics class, PHY 410/505 and 411/506, developed by Prof. Richard Gonsalves (and updated by Prof. Salvatore Rappoccio, and Prof. Tim Thomay). This is now updated This also includes software from the following sources :

• Matrix class (Bjarne Stroustrup, Texas A&M University)
• FFT implementations (http://rosettacode.org/wiki/Fast_Fourier_transform)
• Numerical Recipes in C (http://apps.nrbook.com/c/index.html)

• ---> Also some translated to python
  

• http://pistol.googlecode.com/svn-history/r3/Pistol/ConjGrad.py

• ---> this translates NR routine "mnbrak" to python
  

• Numerical Methods for Physics (Alejandro L. Garcia) (http://www.algarcia.org/nummeth/Programs2E.html)

Docker:

• Install Docker: https://docs.docker.com/install/ (execute once)
• Open your Terminal application.
• Find a preferred directory somewhere and make a "results" folder:

mkdir results

• Get the runDocker.sh script via your preferred method (either download from web browser, or use wget or curl... here we will demonstrate with wget)

wget https://raw.githubusercontent.com/ubsuny/CompPhys/master/runDocker.sh

• Change the permission:

chmod a+x runDocker.sh

• Get the code for CompPhys:

cd results/
git clone https://github.com/ubsuny/CompPhys.git
cd ../

• Execute docker image (execute every time you log in):
  • With jupyter:./runDocker.sh srappoccio/compphys:latest 0
  • With terminal:./runDocker.sh srappoccio/compphys:latest 1
• Your homework should go into the "results" directory you already created or it will be overwritten when the Docker image quits.