Lectures related to Singular Values: Definitions and Properties

Introduces Convex Optimization notation, convex functions, vector norms, and matrix properties.

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

Covers bases, transformations, and matrix decompositions in linear algebra.

Explores the fundamentals of Singular Value Decomposition, including orthonormal bases and practical applications.