Courses of Study 2021-2022 
    
    Sep 23, 2021  
Courses of Study 2021-2022
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CS 6220 - Data-Sparse Matrix Computations


     
Spring. 4 credits. Student option grading.

Prerequisite: CS 4220  or CS 6210 .

Staff.

Matrices and linear systems can be data-sparse in a wide variety of ways, and we can often leverage such underlying structure to perform matrix computations efficiently. This course will discuss several varieties of structured problems and associated algorithms. Example topics include randomized algorithms for numerical linear algebra, Krylov subspace methods, sparse recovery, and assorted matrix factorizations.



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