Condensed Table of Contents without subsections

• Contents of class notes for AMath 483/583
  • Course materials
    • About these notes – important disclaimers
    • Overview and syllabus
    • Slides from lectures
    • Homework
    • Downloading and installing software for this class
    • Virtual Machine for this class
    • Bibliography and further reading
  • Technical Topics
    • Shells
    • Unix, Linux, and OS X
    • Unix top command
    • Using ssh to connect to remote computers
    • Text editors
    • Version Control Software
    • Mercurial (hg)
    • More commands in hg
    • Bitbucket repositories: viewing changesets, issue tracking
    • Mercurial examples
    • Sphinx documentation
    • Binary/metric prefixes for computer size, speed, etc.
    • Computer Architecture
    • Computer Memory and Storage
    • Punch cards
    • Machine code and assembly language
    • Programming languages
    • Python and Fortran
    • Makefiles
  • Fortran
    • Fortran
    • Useful gfortran flags
    • Fortran subroutines and functions
    • Fortran examples: Taylor series
    • Array storage in Fortran
    • Fortran modules
    • Fortran Input / Output
    • Optimizing code
    • Optimizing Fortran
    • Debugging and debuggers
    • Fortran debugging
    • Fortran Software Packages
    • Linear Algebra software
    • Installing LAPACK and BLAS
    • LAPACK examples
  • Parallel Computing
    • Parallel Computing
    • OpenMP
    • MPI
    • MPI with subroutine calls
    • Installing MPI on a Mac
  • Python
    • Python
    • Numerics in Python
    • Python functions
    • Python Namespaces
    • Python scripts and modules
    • Python strings
    • Python dictionaries
    • Allocating memory in Python
    • Python vectorization
    • Python debugging
    • Timing and profiling computer codes
  • Visualization
    • Visualization and graphics
    • Plotting with Python
  • Applications
    • Special functions
    • Particle methods
    • Rotating particles and Python efficiency
    • Rotating particles and Fortran efficiency
    • Jacobi iteration using OpenMP with parallel do constructs
    • Jacobi iteration using OpenMP with coarse-grain parallel block
    • Jacobi iteration using MPI
  • References
    • Bibliography and further reading