Lectures related to Matrix Factorization: LU Decomposition

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

Covers iterative methods for solving linear systems and discusses convergence criteria and spectral radius.

Covers the LU decomposition algorithm, transforming a matrix into L and U.

Covers the decomposition of symmetric matrices into eigenvalues and eigenvectors.

Explores the link between linear systems and optimization through elimination and LU decomposition.

Covers the QR factorization of a matrix A into Q and R.

Explores direct methods for solving linear equations and the impact of errors on solutions and matrix properties.

Introduces QR factorization for matrix decomposition, emphasizing its importance in various applications and the implications of a well-chosen model.