Frequency:
Fall
Student Body:
Computer Science, applied math majors and math majors with emphasis in Comp. Sci. Graduate students in related areas.
Background and Goals:
This course is taught by the Computer Science department and it is meant to give undergraduates an introduction to numerical methods in linear algebra.
Alternatives:
N/A
Subsequent Courses:
Math 514
Course Content:
- Direct and iterative solution of linear and nonlinear systems and of eigenproblems
- LU and symmetric LU factorization
- Complexity, stability, and conditioning
- Nonlinear systems
- Iterative methods for linear systems
- Qr-factorization and least squares
- Eigenproblems: local and global methods
credits:
3. (N-A)
semester:
Spring
prereqs:
Math 340 or equivalent, Comp Sci 302 or equivalent.