Software for UB's PHY410 class
This software package is to demonstrate the example code in the UB Computational Physics class, PHY 410, developed by Prof. Richard Gonsalves (and updated by Prof. Salvatore Rappoccio). 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)
The examples are typically provided in both python and C++ with a few exceptions. These have been tested with :
- Mac OS 10.8 : python 2.7.2 and GCC 4.7.3_0. Mac OS 10.10: python 2.7.9 and clang-700.1.81 (g++ points to this now)
- Windows 7 + cygwin : python 2.7.5 and GCC 4.8.1
- Ubuntu 12.04 LTS : python 2.7.3 and GCC 4.6.3
Additional installation instructions :
- Mac OS >= 10.8 :
Install XCode from the App Store, enable command line tools (xcode-select --install)
- Windows 7 + cygwin
During installation, change the "Interpreters" and "Devel" installations from "Default" to "Install".
- Ubuntu 12.04 :
Install g++ and make on the command line via: sudo apt-get install build-essential
The examples include several instances where matplotlib is used. There are also hooks to use gnuplot. Both are often commented out. To get started with these, try these links :
http://fonnesbeck.github.io/ScipySuperpack/
Via wget :
wget http://peak.telecommunity.com/dist/ez_setup.py
python ez_setup.py
easy_install -U scipy
- With apt-get:
sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose
Make sure it installse version 0.13.0. If it doesn't, use the tarball :
- With tarball :
wget https://pypi.python.org/packages/source/s/scipy/scipy-0.13.0.tar.gz
tar -zxvf scipy-0.13.0.tar.gz
cd scipy-0.13.0
sudo python setuppy.py install
gnuplot :
All :
http://gnuplot.sourceforge.net
Compile the library
cd PHY410
source setup.csh (or setup.sh for bash)
cd cpt
make
Compile and run the executables
cd $CPT_PATH/LectureXXX
make
./program_name
Example:
cd $CPT_PATH/Lecture14
make
./wheatstone
If you want to make new executable file called "filename.cpp", edit the Makefile:
- add your new exe name "filename" to the "all" target list
- make a "rule" for your "filename" executable
- add your new exe name "filename" to the "clean" string Example:
filename: filename.cpp
$(CC) $^ $(LIBS) -o filename
If you broke something, to revert your git repository:
git checkout -- .
If you want to compile EVERYTHING at once, go to PHY410 directory, do NOT cd to any Lecture, and type "make"
cd PHY410
source setup.csh (or setup.sh for bash)
make