Topic: Least Squares and QR Factorization

Why QR Solves Least-Squares Problems

Uniqueness Under Full Column Rank

Uniqueness And Sign Choices In QR Factorization

The Normal Equations For A Candidate Fit

Solving Least Squares With Normal Equations

Residual Geometry And Orthogonality

Reduced QR Factorization And Its Dimensions

QR Factorization For Rank-Deficient Matrices

Proof Of The Normal Equations Characterization

Polynomial Regression Through QR