Numerical Methods for Applications
Continuation of Mathematics 348. Topics include splines, orthogonal polynomials and smoothing of data, iterative solution of systems of linear equations, approximation of eigenvalues, two-point-boundary value problems, numerical approximation of partial differential equations, signal processing, optimization, and Monte Carlo methods. Only one of the following may be counted: Computer Science 367, Mathematics 368K, Physics 329. Three lecture hours a week for one semester.
Topics
- splines
- orthogonal polynomials and smoothing of data
- iterative solution of systems of linear equations
- approximation of eigenvalues
- two-point-boundary value problems
- numerical approximation of partial differential equations
- signal processing
- optimization
- and Monte Carlo methods
Topics explicitly listed in official catalogue description
Prerequisites & course information
Continuation of Mathematics 348. Topics include splines, orthogonal polynomials and smoothing of data, iterative solution of systems of linear equations, approximation of eigenvalues, two-point-boundary value problems, numerical approximation of partial differential equations, signal processing, optimization, and Monte Carlo methods. Only one of the following may be counted: Computer Science 367, Mathematics 368K, Physics 329. Three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027