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
39694R001Lecture12:00-12:50pmMWF11 of 35Neelesh TiruviluamalaTHH215session dates
Information accurate as of September 13, 2022 5:00 pm.
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