May 12, 2024  
2017-2018 Graduate Catalog 
    
2017-2018 Graduate Catalog [ARCHIVED CATALOG]

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MATH 5316 - Introduction to Matrix Computation


Credits: 3

The efficient solution of dense and sparse linear systems, least squares problems, and eigenvalue problems. Elementary and orthogonal matrix transformations provide a unified treatment. Programming is in MATLAB, with a focus on algorithms. Prerequisites: C- or higher in MATH 3304 or MATH 3353; C- or higher in MATH 3315/CSE 3365 or MATH 3316. (*updated* 12/8/2017; effective Spring 2018)



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