Numerical Methods

Undergraduate

This course will cover iterative solution methods for nonlinear equations in one variable, Lagrange interpolation, cubic splines, Bezier curves, numerical differentiation and integration (quadrature), initial value problems, linear algebraic systems (direct methods) and Newton’s method for nonlinear systems. (Prerequisites: MATH-2780, MATH-2790, and one of MATH-1250, MATH-1260 or MATH-1270.) (3 lecture hours per week.)