Numerical Analysis

Catalog description

The course will include numerical methods for derivatives approximation; will teach data approximation and interpolation by Fourier series; Euler's and Runge-Kutta methods for solving ordinary differential equations (ODE) and systems of ODE. Also, the students will study methods for approximate solution of partial differential equations (PDE), including parabolic PDE. Further, the students will learn how to generalize methods for their computer implementation, and will program the basic methods in MatLab. Prerequisites: CSCI 515 and MATH 2414 . Crosslisted with: MATH 546 .