In this program
- Approximation and stability theory
- Linear and nonlinear systems
- Numerical PDEs (introduction)
- High-performance and applied computation
- Domain applications
High-performance and applied computation
Numerical analysis · STEM / applied
Implementation on modern architectures (vectorization, parallelism overview)
Objectives
- 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
Study materials
- Study guideComing soon
- Exam StrategyComing soon
- Common MistakesComing soon
- WorksheetsComing soon
- Word problemsComing soon
- Mixed PracticeComing soon
- Multi-Unit ProblemsComing soon
- ReviewComing soon
- Practice testComing soon
- Answer keyComing soon
Interactive practice
Quizzes, typed answers, and flashcards for this unit — coming soon.
- Coming soon
Quiz
Multiple-choice questions with instant feedback
- Coming soon
Typed practice
Type answers and check them
- Coming soon
Flashcards
Vocabulary and key facts
- Coming soon
Mixed quiz
Harder mixed review for this standard