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:
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.
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, 341, or 375) and (COMP SCI 200, 300, 301, 302 or 310) or graduate or professional standing