# Yanlai Chen

## Course Description

Numerical mathematics is the branch of mathematics that proposes, develops, analyzes and applies algorithms to obtain approximate solutions to a wide variety of problems in practice. Exact answers to many such problems are impossible to obtain thus making approximate solutions essential. This field of mathematics naturally finds itself in high demand in other disciplines such as physics, the natural and biological sciences, engineering, economics and the financial sciences, and even arts.

With the continual development of hardware from super-computers to handheld devices, it is entirely possible nowadays to use numerical algorithms to study problems of a huge size that model real-life phenomena, and provide accurate responses at affordable computational cost in an efficient manner.

This course will start by trying to answer a few basic questions, then digging deeper into this field of mathematics, and end by empowering you with the motivation and skill sets to learn more numerical mathematics.

## Files and links for Julia

## Links to some Matlab tutorials and resources

- Matlab Primer, 3rd edition, by Kermit Sigmond, University of Florida
- An Introduction to Matlab by David F. Griffiths
- A two-day tutorial from MIT: Day 1, Day 2
- Matlab basics and a little beyond, David Eyre, University of Utah
- A Matlab plotting tutorial, Bohe Wang, West Virginia University
- Debugging Matlab m-Files, Purdue University
- The Matlab ODE Suite, by L.S. Shampine and M.W. Reichelt
- ODE software for Matlab, from Rice University
- The Mathworks "Student Center"
- Matlab Documentation, The Mathworks
- Matlab Central File Exchange