Singular Value Decomposition: Example

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (48)

Linear Algebra: Bases and Transformations Log in to Mediaspace to watch this video

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

Matrices and Quadratic Forms: Key Concepts in Linear Algebra Log in to Mediaspace to watch this video

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

Linear Algebra Review: Convex Optimization Log in to Mediaspace to watch this video

Covers essential linear algebra concepts for convex optimization, including vector norms, eigenvalue decomposition, and matrix properties.

Diagonalization of Symmetric Matrices Log in to Mediaspace to watch this video

Explores the diagonalization of symmetric matrices and the importance of Singular Value Decomposition.

Tucker Decomposition: Multilinear rank and applications in data compression Log in to Mediaspace to watch this video

Covers the Tucker decomposition and its applications in data compression, explaining the notion of multilinear rank and the HOSVD method.

Integration of Rational Functions Log in to Mediaspace to watch this video

Covers the integration of rational functions and the decomposition into irreducible factors.

Orthogonal Bases in Vector Spaces Log in to Mediaspace to watch this video

Covers orthogonal bases, Gram-Schmidt method, linear independence, and orthonormal matrices in vector spaces.

Eigenvalue of a Matrix Log in to Mediaspace to watch this video

Explains how to find the values for which -1 is an eigenvalue of a 3 by 3 matrix.

Spectral Theorem: Eigenvalues and Eigenvectors Log in to Mediaspace to watch this video

Covers the spectral theorem, eigenvalues, eigenvectors, and their importance in linear algebra.

Diagonalization of Symmetric Matrices Log in to Mediaspace to watch this video

Explores the diagonalization of symmetric matrices and the orthogonality of eigenvectors.

Linear Systems: Diagonal and Triangular Matrices, LU Factorization Log in to Mediaspace to watch this video

Covers linear systems, diagonal and triangular matrices, and LU factorization.

Diagonalization: Theory and Examples Log in to Mediaspace to watch this video

Explores diagonalization of matrices through eigenvalues and eigenvectors, emphasizing distinct eigenvalues and their role in the diagonalization process.

Explores matrix similarity, eigenvalues, and diagonalization in linear algebra.

Least Squares Solutions Log in to Mediaspace to watch this video

Covers least squares solutions for linear systems using matrix operations and normal systems, illustrated with examples.

Linear Algebra: Spectral Decomposition Log in to Mediaspace to watch this video

Covers the spectral decomposition of matrices and change of basis applications.

Polynomial Characteristic and Eigenvalues Log in to Mediaspace to watch this video

Covers the concept of polynomial characteristic of a matrix and its relation to eigenvalues.

Determinant, Area, and Volume Log in to Mediaspace to watch this video

Explores area determination, linear applications, matrix operations, and vector spaces.

Linear Algebra: Normal Equations and Symmetric Matrices Log in to Mediaspace to watch this video

Explores normal equations, pseudo-solutions, unique solutions, and symmetric matrices in linear algebra.

Eigenvalues and Eigenvectors Log in to Mediaspace to watch this video

Covers eigenvalues and eigenvectors in linear algebra.

Orthogonal Matrices: Properties and Applications Log in to Mediaspace to watch this video

Explores the properties and applications of orthogonal matrices in linear algebra, focusing on orthogonality and projections.

Page 2 of 3