— Applied Numerical Linear Algebra
Numerical linear algebra (NLA) with emphasis on applications in engineered systems; matrix factorizations; perturbation and rounding error analyses of fundamental NLA algorithms.
Prerequisites & course information
Course Description: Numerical linear algebra (NLA) with emphasis on applications in engineered systems; matrix factorizations; perturbation and rounding error analyses of fundamental NLA algorithms. Learning Activities: Discussion/Laboratory 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Ph.D. students in Computer Science only and Pass Two open to graduate students in Computer Science only. Grade Mode: Letter. Learning Activities: Discussion/Laboratory 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Ph.D. students in Computer Science only and Pass Two open to graduate students in Computer Science only. Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027