Lectures related to Linear Equations: Least Squares Solution

Covers the QR factorization method applied to solving a system of linear equations in the least squares sense.

Introduces the Gram-Schmidt algorithm, QR factorization, and the method of least squares.

Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.

Covers orthogonal linear maps, orthogonal matrices, invertibility, and least squares solutions in Euclidean spaces.

Explores Gram-Schmidt process, orthogonal projection, QR factorization, and least squares solutions for linear systems.

Covers the organization of linear algebra course and exercises for civil engineering and environmental sciences students.

Covers matrix notation, linear equations, vector spaces, and applications of least squares.

Covers the least squares solution to the equation Ax=b, focusing on the normal equation and its application.