# Numerical Linear Algebra with Applications

## MATH-4840

The focus of the course is on fundamental algorithms in computational linear algebra and their applications in science and engineering. These algorithms involve QR and SVD factorizations, the computation of eigenvalues and eigenvectors, basic optimization methods, and iterative methods for sparse systems. Applications will be considered in areas such as data analysis and compression, principal component and spectral analysis, solutions of large sparse systems, among others.

4 credits
Prereqs:
one of:
MATH-4800 Numerical Computing CSCI-4800 Numerical Computing

# Past Term Data
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| Spring | Summer | Fall
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| (Session 1) | (Session 2) |
2023 | Numerical Linear Algebra Apps (4c) Mark H Holmes Seats Taken: 32/35 |  |
2022 |  |  |
2021 | Numerical Linear Algebra Apps (4c) Mark H Holmes Seats Taken: 42/70 |  |
2020 |  |  |
2019 | Numerical Linear Algebra With Applications (4c) Mark H Holmes Seats Taken: 49/60 |  |
2018 |  |  |
2017 | Numerical Linear Algebra With Applications (4c) Mark H Holmes Seats Taken: 45/50 |  |
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