CS 6220

CS 6220

Course information provided by the Courses of Study 2020-2021.

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.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: CS 4220 or CS 6210.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 11799 CS 6220   LEC 001

    • TR Online Meeting
    • Feb 8 - May 14, 2021
    • Damle, A

  • Instruction Mode: Online
    Enrollment limited to graduate & professional students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates.