Mathematics · Spring 2027
SDSU MATH 543 — Numerical Matrix Analysis
Singular value decomposition. Projections, QR-factorization, orthogonalization, conditioning and stability, Gaussian Elimination, LU-Factorization, pivoting strategies, Cholesky Factorization. Iterative methods for diagonalization and eigensystem computation. Tridiagonal, Hessenberg, and Household matrices. The QR algorithm.
Course requirements
Prerequisites: MATH 340; and either MATH 254, MATH 342A, or A E 280 with a grade of C (2.0) or better. Proof of completion of prerequisite(s) required: Copy of transcript.
- MATH 340; and either MATH 254, MATH 342A, or A E 280 with a grade of C (2.0) or better. Proof of completion of prerequisite(s) required: Copy of transcript.
Spring 2027 enrollment options
Seat status can change| Class # | Format | Status | Seats | Time | Location | Professor | RateMyProfessors |
|---|---|---|---|---|---|---|---|
| 4940 Discussion | In person | Open | 0 / 42 | Tue/Thu 12:30 PM–1:45 PM | LH 408 | Peter Blomgren | 4.3/5 · 49 reviews Difficulty 2.7 · 94% take again |