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
		(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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