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 |
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39440R | 054 | Lecture | 11:00-1:00pm | MWF | 12 of 30 | Gary Rosen | ONLINE | PDF (127181 KB) |