Numerical Analysis I

Methods for finding approximate numerical solutions to a variety of mathematical problems, featuring careful error analysis. A mathematical software package will be used to implement iterative techniques for nonlinear equations, polynomial interpolation, integration, and problems in linear algebra such as matrix inversion, eigenvalues and eigenvectors.

Credit Hours:
3
Prerequisites:
MATH 3000 or MATH 3500 or MATH 3500H
Prerequisite or Correquisite:
MATH 3100