Numerical Linear Algebra
Durham
Engineering&Physical Sciences::Integrated Applied Mathematics
Credits: 3.0
Class Size: 12
Term:
Fall 2024
-
Full Term (08/26/2024
-
12/09/2024)
CRN:
12466
Grade Mode:
Letter Grading
Introduction to numerical analysis and computational methods for linear systems. Topics include: IEEE floating point arithmetic; vector norms and induced norms; conditioning; projectors; LU decompositions; pivoting; Cholesky factorization; QR decompositions; Gram-Schmidt orthogonalization; Householder triangularization; Singular Value decompositions; least squares problems; stability; eigenvalue problems; power iterations; QR algorithm; Krylov methods; Arnoldi iteration; GMRES; Lanczos iteration; Conjugate gradient algorithms; and Preconditioning. Knowledge of computer programming and linear algebra is required prior to taking this course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors:
John Gibson
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
8/26/2024 | 12/9/2024 | MWF | 10:10am - 11:00am | KING N345 |
Final Exam12/16/2024 | 12/16/2024 | M | 10:30am - 12:30pm | KING N345 |
Booklist
Book | Details |
---|---|
NUMERICAL LINEAR ALGEBRA
97
by TREFETHEN
Required
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