Course Schedule - Fall Semester 2018


CAAM 551 001 (CRN: 13529)


Department: Computational & Applied Math
Instructor: Gillman, Adrianna M.
Meeting: 2:30PM - 3:45PM TR MEL 254 (20-AUG-2018 - 30-NOV-2018) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Must be enrolled in one of the following Level(s):
Prerequisites: CAAM 453 OR CAAM 553 OR CAAM 550
Section Max Enrollment: 30
Section Enrolled: 13
Enrollment data as of: 17-AUG-2022 11:04AM
Additional Fees: None
Final Exam: GR Course-Dept Schedules Exam
Description: Direct methods for large, sparse linear systems; regularization of ill-conditioned least squares problems; backward error analysis of basic algorithms for linear equations and least squares, sensitivity and conditioning of linear systems and least square problems; condition estimation. Preconditioned iterative methods for linear systems (CG, GMRES, BiCGstab, QMR); multigrid methods. Matrix theory including spectral decompositions, Schur form, eigenvalue perturbation theory, and the geometry of subspaces. Eigenvalue algorithms, Sylvester and Lyapunov equations, the implicitly shifted QR algorithm, computation of the SVD, generalized eigenvalue problems. Introduction to large scale eigenvalue algorithms. Proficiency in MATLAB and acquaintance with one or more of C, F77, C++, F90 is required. Recommended Prerequisite(s) CAAM 453 or CAAM 553 or CAAM 550