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Apr 03, 2025
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Fall 2025 Graduate Catalog
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AMS 526 - Numerical Linear Algebra
Introduction to key concepts and algorithms in numerical linear algebra and their applications in computational and data sciences. Topics include direct and iterative methods for solving simultaneous linear equations, least squares problems, computation of eigenvalues and eigenvectors, and singular value decomposition.
3 credits
Prerequisite(s): AMS 510 and AMS 595
Grading Letter graded (A, A-, B+, etc.)
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