In this program
- Implementation on modern architectures (vectorization, parallelism overview)
- Large-scale sparse linear solvers in practice
- Uncertainty quantification
- Monte Carlo methods
- Inverse problems
- Regularization (Tikhonov)
- Validation against analytical
- Experimental benchmarks
High-performance and applied computation
Implementation on modern architectures (vectorization, parallelism overview)
Numerical analysis · Standard syllabus
Topic
Implementation on modern architectures (vectorization, parallelism overview)
Graduate Numerical Analysis — scope drawn from open graduate numerical analysis texts and typical US graduate numerical analysis syllabi.