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

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(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
2016
2015
2014
2013
2012
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