Lectures related to Spectrum of a matrix

Explores consensus algorithms and connectivity properties in networked control systems.

Explores manipulation of 3D arrays, barycenters, shape matrices, Jacobians, eigendecomposition, and visualization in elastic solids.

Explores primitive matrices, dominant eigenvalues, and spectral properties in networked control systems.

Covers the Power Method for approximating the largest eigenvalue of a matrix.

Explores matrix decompositions, algorithms, computational complexity, and predator-prey interactions in numerical linear algebra.

Explores the application of matrices and eigendecompositions in networks.

Explores matrix decompositions for solving linear systems and simulating dynamics.