<meta http-equiv="refresh" content="0; URL=noscript.html"> METU | Course Syllabus

Course Objectives

Analysis of both performance and numerical issues related to solution of sparse problems using computers such as Gaussian elimination, forward and backward sweep,  pivoting, sparse Gaussian elimination , singular value decomposition and linear least squares, iterative solution of linear systems (Relaxation methods and Krylov Subspace Methods), preconditioning, solution of eigenvalue problems.