Mathematics · self-study course
Linear algebra: spaces, eigenvectors and fitting
Develop matrix, vector-space and projection reasoning before using least squares.
3 lessons24 quiz questionsUniversity
Your learning path
- 01
Bases, rank and linear maps
A basis both spans a vector space and is linearly independent.
University · Notes · 8 questions - 02
Eigenvectors and diagonalization
Av=λv requires a nonzero vector v.
University · Notes · 8 questions - 03
Orthogonality and least-squares fitting
The closest point in a subspace is found by an orthogonal residual.
University · Notes · 8 questions