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.
|39694D||001||Lecture||12:00-12:50pm||MWF||21 of 35||Chunming Wang||KAP147||PDF (72633 KB)|