A self-study/reading course in numerical analysis. This course is fairly organized as it will be following the official course syllabus of UC Berkeley's first semester course on numerical analysis, Math 128.
- no lectures added
Minimally linear algebra and multivariate calculus. It will help to be familiar with some matlab, maple, or some other mathematical scripting language. (I will be using matlab and can give pointers in python).
Please refer to this link for the specifics. http://math.berkeley.edu/~persson/128A/
Due dates and such will be posted on the associated subreddit accordingly.
I will be using: R. L. Burden and J. D. Faires, Numerical Analysis, 9th edition, Brooks-Cole, 2010. ISBN-13: 978-0-538-73351-9; ISBN-10: 0-538-73351-9 That is, the 9th edition. However, using the 8th edition (or older as far as I know) should not cause any major problems.
Pursuing undergraduate in Applied Mathematics.