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.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
39694D001Lecture12:00-12:50pmMWF21 of 35Chunming WangKAP147PDF (72633 KB)session datesbook list
Information accurate as of May 20, 2019 5:01 pm.