- Vectors
- Linear Functions
- Norm and Distance
- Clustering
- Linear Independence
- Matrices
- Matrix Examples
- Linear Equations
- Linear Dynamical Systems
- Matrix Multiplication
- Matrix Inverses
- Least Squares
- Least Squares Data Fitting
- Least Squares Classification
- Multi-Objective Least Squares
- Constrained Least Squares
- Constrained Least Squares Applications
- Non-linear Least Squares
- Constrained Non-linear Least Squares
Introduction to Applied Linear Algebra: Vectors, Matrices, and Least squares.
Stephen Boyd; Lieven Vandenberghe.
Stanford University; University of California, Los Angeles.
vmls-book.stanford.edu .
vmls-book.stanford.edu .
Jun 7, 2018.