In this program
- Sparse matrix storage and direct solvers
- Krylov methods
- Preconditioning in practice
- Newton–Krylov methods for nonlinear systems
- Multigrid
- Domain decomposition (introduction)
- Parallel algorithms
- Scalability basics
Linear and nonlinear solvers
Newton–Krylov methods for nonlinear systems
Computational methods · STEM / applied
Topic
Newton–Krylov methods for nonlinear systems
Graduate Computational Methods — scope drawn from open computational mathematics notes and typical US graduate computational methods syllabi.