This course will cover basic numerical analysis and particularly
issues
such as roundoff error (i.e., you can't store infinitely many digits
in a computer), approximating functions (you can't store
for all values of
), how to solve equations, integrate
functions
(numerically), and even solve some differential equations.
| Instructor: | Dr. David Stewart |
|---|---|
| Phone: | 335-3832 |
| Email: | dstewart(at)math(dot)uiowa(dot)edu |
| WWW URL: | http://www.math.uiowa.edu/~dstewart/ |
| Office hours: | TBA |
| Class hours: | 2:30-3:20pm MWF |
| Class location: | 214 MLH |
You can see me outside the office hours provided it is mutually convenient.
This class will use ICON: https://icon.uiowa.edu/.
Elementary Numerical Analysis by K. Atkinson and W. Han. (3rd edition)
Numerical analysis is about how to design and analyze algorithms that work with real numbers. In this course you will be introduced to some surprising things about the way computers perform these kinds of computations (the computer is almost always wrong). In spite of this, it is usually not wrong by a lot. Of course, to be sure, we need to know how much error is in the answers computed. The other side of the question is how do you compute something, or solve an equation? Some algorithms are more accurate than others, and some perform faster than others. Knowing which is which is vitally important if you have to do numerical computations.
There will be two in-class exams (20% each), some sets of homework (30%), and a final exam (30%).
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The translation was initiated by David Stewart on 2007-01-08