In this program
- Orthogonal projections onto column spaces (computational)
- Normal equations
- Least-squares solutions
- Fitting lines and simple models to data
- Markov chains or discrete dynamical systems with matrices (intro)
Least squares and applications
Orthogonal projections onto column spaces (computational)
Matrix algebra · STEM / applied
Topic
Orthogonal projections onto column spaces (computational)
Undergraduate Matrix Algebra — scope drawn from Boyd & Vandenberghe Introduction to Applied Linear Algebra, Hefferon Linear Algebra, and related OER (see docs/reference/matrix-linear-algebra-books.md).