M X68K M 368K Numerical Methods for Applications 3 Hours
3 Lecture Hours 0 Lab Hours
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.
Pre/Corequisites: Mathematics 348 with a grade of at least C-.
Grading: Student Option
Repeatable for credit: No
Academic Level: Upper Division