Lectures related to Matrix Factorizations: LU Decomposition

Covers the construction of an iterative method for linear systems, emphasizing matrix decomposition and convexity.

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

Provides an overview of symmetric matrices, quadratic forms, and their applications in linear algebra and analysis.

Explains the concept of least squares solutions and their application in finding the closest solution to a system of equations.

Explores matrix equivalence theorems for systems of equations and least squares solutions.

Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.