In this program
- Matrix factorizations and direct methods
- Iterative methods for linear systems
- Eigenvalue and SVD computations
- Large-scale and applied problems
- Software and practice
Matrix factorizations and direct methods
Numerical linear algebra · STEM / applied
Review of LU and QR factorizations
Objectives
- Review of LU and QR factorizations
- Cholesky factorizations
- Pivoting strategies
- Backward stability analysis
- Sherman–Morrison–Woodbury
- Low-rank updates
- Sparse direct solvers
- Reordering (overview)
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