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 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)

Github Codespaces:

Examples in this repository can be run inside a GitHub codespace directly in your browser. For a general pupose codespace just click on the green Code button.

For specific environments you can lauch a customized codespace (New with options ...). Currently available for:

• Machine Learning (ML)
• C++ (Cpp)
• Python
• QisKit

Docker:

• Install Docker: https://docs.docker.com/install/ (execute once)
• Open your Terminal application.
• Get the code for CompPhys:

git clone https://github.com/ubsuny/CompPhys.git
chmod a+w CompPhys
cd CompPhys

• Execute docker image (execute every time you log in):
  • Linux/Unix/Mac: ./runDocker.sh ubsuny/compphys:latest
  • Windows: ./runDockerWindows.sh ubsuny/compphys:latest
• To run a jupyter notebook, when in the container:
  • jupyter notebook --ip 0.0.0.0 --no-browser

For some reason, Windows often is removing the interactive portion from the script above, so copy and paste this into your PowerShell by hand:

docker run --rm -it -v ${PWD}:/home/users/compphys/CompPhys -w /home/users/compphys --entrypoint "/bin/bash" -p 8888:8888 ubsuny/compphys:latest