Harvard Applied Math 205: Code examples

Harvard AM205 is a graduate course the provides a broad overview of scientific computing. This Git repository contains example codes from the course taught by Chris H. Rycroft from 2014 to 2021, and the main website is now located here:

https://people.math.wisc.edu/~chr/am205

The codes are primarily written in Python, and make use of several commonly-used libraries:

• NumPy for numerical linear algebra
• SciPy for scientific routines and algorithms
• Matplotlib for graphing and visualization

In addition, a number of programs output data to text in a format that can be read by the freeware plotting program Gnuplot.

Organization

The course is divided into six units:

• Unit 0 – Overview of Scientific Computing
• Unit 1 – Data Fitting
• Unit 2 – Numerical Linear Algebra
• Unit 3 – Numerical Calculus and Differential Equations
• Unit 4 – Nonlinear Equations and Optimization
• Unit 5 – Eigenvalue Problems

Example codes from each unit are provided in separate directories.