Mathematics · Fall 2026, Winter 2027, Spring 2027, & Summer 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.