Lectures related to Gaussian Elimination: Basics

Explains how to find free variables in matrix equations and analyze characteristic polynomials.

Covers the basics of linear algebra, including matrix operations and singular value decomposition.

Covers the LU decomposition method for matrix factorization and its application in electrical engineering.

Covers the basics of matrix inversion, properties of matrix multiplication, and the uniqueness of matrix inverses.

Covers the basics of LU decomposition, focusing on identifying coefficients of matrices A and LU.

Covers the fundamentals of linear equations, matrices, and systems of linear equations, including matrix operations and solutions.

Covers LU factorization, linear independence, and matrix equations.