Computer Science 501:
Numerical Analysis and Computation (3.0 units)
Linear equations and matrices, Gauss elimination, error estimates, iteration techniques; contractive mappings, Newton's method; matrix eigenvalue problems; least-squares approximation, Newton-Cotes and Gaussian quadratures; finite difference methods. Prerequisite: linear algebra and calculus.
- Crosslist: This course is offered by the MATH department but may qualify for major credit in CSCI. To register, enroll in MATH 501.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39694R | 001 | Lecture | 12:00-12:50pm | MWF | 11 of 35 | Neelesh Tiruviluamala | THH215 |  |