IAM 961 (01) - Numerical Analysis I: Numerical Linear Algebra

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
ISBN
978089871361 9
PUBLISHER
SIAM