Eigenvalue Problems: Methods and Applications

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (26)

Page 2 of 3

Matrix Diagonalization: Spectral Theorem

Covers the process of diagonalizing matrices, focusing on symmetric matrices and the spectral theorem.

Eigenvalues and Optimization: Numerical Analysis Techniques

Discusses eigenvalues, their calculation methods, and their applications in optimization and numerical analysis.

Quantum Physics I

Explores eigenvalues, ladder operations, and quantum number values in quantum physics.

Jacobi and Gauss-Seidel methods

Explains the Jacobi and Gauss-Seidel methods for solving linear systems iteratively.

Diagonalization of Linear Transformations

Covers the diagonalization of linear transformations in R^3, exploring properties and examples.

Diagonalization Techniques: Jacobi Method

Covers the Jacobi method, Givens rotation, QR decomposition, and diagonalization techniques in computational physics.

Matrix Computations: Eigenvalues and Eigenvectors

Explores the complexity of matrix computations, focusing on eigenvalues and eigenvectors of symmetric matrices and the challenges in computing them.

Diagonalization of Matrices

Explores the diagonalization of matrices through eigenvalues and eigenvectors, emphasizing the importance of bases and subspaces.

Eigenvalues and Eigenvectors

Explores eigenvalues, eigenvectors, and methods for solving linear systems with a focus on rounding errors and preconditioning matrices.

Uncertainty Principle

Explores the uncertainty principle in quantum mechanics, covering compatible observables, system states, and mathematical representations of uncertainty.