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 3300 or MATH 3500 or MATH 3500H MATH 3100 or MATH 3100H CSCI 1301-1301L Level: Graduate Undergraduate
