Dec 14, 2025  
2024-2025 University Catalog 
    
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2024-2025 University Catalog [ARCHIVED CATALOG]

MATH 543 - Numerical Matrix Analysis

Units: 3

Grading Method: LCR: Letter Grade with Cr/NC available. The grading default for the class will be letter grade, but students can opt to take it for Cr/NC

Prerequisite(s): 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.

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.

Maximum Credits: 3