CS 515: Numerical Linear Algebra
List of Topics:
Part I: Dense Matrix Computation
Direct Linear System Solvers
| Hours | Topic |
|---|---|
| 2 | LU and Cholesky factorization schemes |
| 2 | Norms and condition numbers |
| 3 |
Pivoting strategies, scaling, and iterative refinement Least Squares Problems |
| 2 | Orthogonal projections |
| 3 | Orthogonal factorization schemes -- Givens, Householder, and Gram-Schmidt |
| 3 |
Singular-value decomposition The symmetric eigenvalue problem |
| 2 | Eigenvalues and eigenvectors |
| 2 | Power method and inverse iteration |
| 2 | Reduction to the tridiagonal form |
| 2 | Extraction of eigenpairs |
Part II: Iterative methods for sparse linear systems
| Hours | Topic |
|---|---|
| 2 | Discretization of partial differential equations |
| 2 | Sparse matrices |
| 2 | Basic iterative linear system solvers |
| 3 | Projection methods |
| 5 | Krylov subspace methods |
| 2 | Schemes for normal equations |
| 4 | Preconditioning techniques |
Total Hours: 43
Last Updated: Jun 20, 2025 1:29 PM