Mathematics & Statistics (Sci) : Development, analysis and effective use of numerical methods to solve problems arising in applications. Topics include direct and iterative methods for the solution of linear equations (including preconditioning), eigenvalue problems, interpolation, approximation, quadrature, solution of nonlinear systems.
Terms: Fall 2010
Instructors: Jean-Christophe Nave (Fall)
- Prerequisites: MATH 247 or MATH 251; and MATH 387; or permission of the instructor.