Lectures related to Jordan Form: Decomposition and Properties

Singular Value Decomposition

Explores Singular Value Decomposition and its role in unsupervised learning and dimensionality reduction, emphasizing its properties and applications.

Singular Value Decomposition: Example

Explains the step-by-step process of finding the singular value decomposition of a matrix.

Linear Systems Resolution

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

Eigenvalues and Symmetric Matrices

Explains eigenvalues and eigenvectors of symmetric matrices and their properties.

LU Decomposition: Existence

Explores LU decomposition of a matrix into lower and upper triangular matrices.

Linear Algebra: Matrix Decomposition and Base Change

Covers the algorithm for matrix decomposition and base change in linear algebra.

Singular Value Decomposition: Theory and Applications

Explores Singular Value Decomposition theory, properties, uniqueness, matrix approximation, and dimensionality reduction applications.

LU Decomposition: Linear Systems Applications

Covers the LU decomposition method applied to linear systems, presenting the system in two steps.