Lectures related to Linear Algebra: Inversion and Uniqueness

Covers direct methods for solving linear systems in numerical analysis.

Covers the concept of inverse matrices and systems resolution, including the conditions for matrix invertibility and the Gauss-Jordan algorithm.

Explores the equality between Ker A and Ker (ATA) in linear algebra.

Covers the basics of matrix multiplication, including properties and examples.

Covers matrix operations, including multiplication, transposition, powers, and inverses, and explains how to determine if a matrix is invertible.

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