Login to filter by course Login to filter by course Reset
Delves into the proof of the convergence rate theorem for an ergodic Markov chain, emphasizing eigenvalues and detailed balance properties.
Revisits the spectral theorem for symmetric matrices, emphasizing orthogonally diagonalizable properties and its equivalence with symmetric bilinear forms.
Covers the basics of linear algebra, including matrix operations and singular value decomposition.
Explores vector subspaces in R4, symmetric matrices, basis vectors, and canonical forms.
