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.
39440R054Lecture11:00-1:00pmMWF12 of 30Gary RosenONLINEPDF (127181 KB)session dates
Information accurate as of January 18, 2022 10:58 am.