- G. H. Golub, C. F. Van Loan - Matrix computations. Johns Hopkins University Press, 2012.
- PETSc Users Manual, http://www.mcs.anl.gov/petsc/petsc-current/docs/manual.pdf
Terminated in academic year 2020/2021
Numerical linear algebra 2
| Type of study | Bachelor |
|---|---|
| Language of instruction | Czech |
| Code | 470-2211/01 |
| Abbreviation | NLA2 |
| Course title | Numerical linear algebra 2 |
| Credits | 2 |
| Coordinating department | Department of Applied Mathematics |
| Course coordinator | Ing. Jakub Kružík, Ph.D. |
Subject syllabus
Outline:
1. Numerical libraries overview
2. Basic operations with parallel objects in PETSc - vectors, matrices, index sets
3. Direct solvers and their parallelization - multifrontal vs. supernodal methods
4. Iterative solvers in PETSc - KSP
5. Spectral analysis using SLEPc
6. Preconditioning
1. Numerical libraries overview
2. Basic operations with parallel objects in PETSc - vectors, matrices, index sets
3. Direct solvers and their parallelization - multifrontal vs. supernodal methods
4. Iterative solvers in PETSc - KSP
5. Spectral analysis using SLEPc
6. Preconditioning
Literature
Advised literature
- Y. Saad - Iterative methods for sparse linear systems. SIAM, 2003.