Course Websites
CS 450 - Numerical Analysis
Last offered Spring 2025
Official Description
Related Faculty
Course Director
Text(s)
Scientific Computing : An Introductory Survey, 2nd E, by Michael T. Heath
Learning Goals
Analyze the conditioning of common numerical problems such as solving a linear system, finding eigenvalues, numerical differentiation and integration, etc. (1)
Calculate numerical approximations to solutions to linear and nonlinear systems, eigenvalues/eigenvectors, optimization problems, integrals, derivatives, and solutions to differential equations.(6)
Compare the accuracy and cost of different numerical methods for solving a numerical problem. (1)(6)
Estimate the accuracy and efficiency of numerical approximations.(6)
Write code to solve numerical problems.(2)(6)
Design and carry out numerical experiments to test various numerical methods. (2)(6)
Topic List
Approximations, Error Analysis, and Floating-Point Arithmetic
Systems of Linear Equations
Linear Least Squares
Eigenvalue Problems
Nonlinear Equations
Optimization
Interpolation
Numerical Integration and Differentiation
Initial Value Problems for ODEs
Boundary Value Problems for ODEs
Partial Differential Equations
Fast Fourier Transform
Required, Elective, or Selected Elective
Selected Elective.
Schedule and Instructors
Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
---|---|---|---|---|---|---|---|---|
Numerical Analysis | B3 | 31427 | LCD | 3 | 1100 - 1215 | T R | 1404 Siebel Center for Comp Sci | Paul Fischer |
Numerical Analysis | B4 | 31430 | LCD | 3 | 1100 - 1215 | T R | 1404 Siebel Center for Comp Sci | Paul Fischer |