Lectures related to Eigenvalues and Eigenvectors in 3D

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.

Covers linear equations, vectors, and matrices, exploring their fundamental concepts and applications.

Explores linear algebra basics, emphasizing matrix representations of transformations and the importance of choosing appropriate bases.

Covers the Singular Value Decomposition (SVD) in detail, including properties of matrices and system linearity.

Explores basis transformation, eigenvalues, and linear operators in inner product spaces, emphasizing their significance in Quantum Mechanics.