Lectures related to Factorisation LU

Explores operations with triangular matrices and their role in solving linear systems.

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

Explores LU factorization, rounding-off errors, sparse matrices, and matrix operations using MATLAB.

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

Explores matrices, inverses, and their applications in linear algebra, emphasizing composition and transformation properties.

Explores LU decomposition for solving linear systems and the associativity of operations.

Introduces the Gauss-Jordan method for solving linear equations and explores unique solutions and efficiency comparisons.

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