SDS X93C SDS 393C Numerical Analysis: Linear Algebra 3 Hours
3 Lecture Hours 0 Lab Hours
Survey of numerical methods in linear algebra: floating-point computation, solution of linear equations, least squares problems, algebraic eigenvalue problems. Only one of the following may be counted: Computational Science, Engineering, and Mathematics 383C, Computer Science 383C, Mathematics 383E, Statistics and Data Sciences 393C. Three lecture hours a week for one semester.
Same as: C S 383C, CSE 383C, M 383E
Pre/Corequisites: Graduate standing; Computer Science 367 or Mathematics 368K; and Mathematics 340L, 341, or consent of instructor.
Grading: Student Option
Repeatable for credit: No
Academic Level: Doctoral