GEN 3148

Numerical Linear Algebra

Stanford University · UGRD · Fall 2026

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Solution of linear systems, accuracy, stability, LU, Cholesky, QR, least squares problems, singular value decomposition, eigenvalue computation, iterative methods, Krylov subspace, Lanczos and Arnoldi processes, conjugate gradient, GMRES, direct methods for sparse matrices. Prerequisites: CME 108/Math 114 and one of Math 104 or Math 113.

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Class #stanford-3148Fall 2026UGRD3 credits
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