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