Media Summary: Symmetric matrices, The Spectral Theorem, spectral decomposition. Quadratic forms and eigenvalues, constrained optimization. More on Least-squares, symmetric matrices.
Math 461 Lecture 32 - Detailed Analysis & Overview
Symmetric matrices, The Spectral Theorem, spectral decomposition. Quadratic forms and eigenvalues, constrained optimization. More on Least-squares, symmetric matrices. Limit Cycles: Existence and Non-existence Criteria. View the complete course: License: Creative ... More RREF, applications to vector equations. QR factorization, Least Squares problems, symmetric matrices.
The Orthogonal Decomposition Theorem, The Best Approximation Theorem, The Gram-Schmidt Process. Rotation group of the sphere, representing space rotations by quaternions. Parametric vector form of solutions, linear independence. Eigenvalues and Eigenvectors continued - The Diagonalization theorem.
