Fall 2016

Numerical Analysis

Listed in: Mathematics and Statistics, as MATH-284

Faculty

Tanya L. Leise (Section 01)

Description

This course will study numerical techniques for a variety of problems, such as finding roots of polynomials, interpolation, numerical integration, numerical solutions of differential equations, and matrix computations. We will study the underlying theory behind the algorithms, including error analysis, and the algorithms will be implemented using mathematical software to facilitate numerical experimentation.

Requisite:  MATH 211 and either 271 or 272, or permission of the instructor. Limited to 24 students.  Fall semester.  Professor Leise. 

If Overenrolled: Priority to pre-registered students, math majors, and juniors and seniors.

Keywords

Quantitative Reasoning

Offerings

2022-23: Not offered
Other years: Offered in Fall 2016, Fall 2018, Spring 2020, Spring 2021