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Syllabus Information


Spring 2024
May 21, 2024
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Information Use this page to maintain syllabus information, learning objectives, required materials, and technical requirements for the course.

Syllabus Information
CS 51500 - Numerical Linear Algebra
Associated Term: Spring 2024
Learning Outcomes: 1. Become knowledgeable about major kernels and algorithms underlying matrix computations for dense and sparse matrices including linear systems of equation, symmetric eigenvalue problems, and the singular-value decomposition. 2. Be able to implement basic versions of these kernels and algorithms. 3. Learn about the difference between direct and iterative methods for linear systems. 4. Gain expertise in the design of iterative methods and preconditioning techniques for large-scale sparse linear systems. 5. Be able to implement eigenvalue and singular-value problem solvers.
Required Materials:
Technical Requirements:

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