MTH303 Numerical Methods

[3–0, 3 cr.]

This course compares and contrasts various numerical analysis techniques, in addition to error definition, stability, the machine precision concepts, inexactness of computational approximations, the design, code, test, and debug programs that implement numerical methods, floating-point arithmetic, convergence, iterative solutions for finding roots (Newton’s Method), curve fitting, function approximation, numerical differentiation and integration, explicit and implicit methods, differential equations (Euler’s Method), and finite differences.

Prerequisite: MTH201 Calculus III