Matrix Methods for Applications

Catalog description

Quantitative and qualitative analysis of systems of linear algebraic equations: Gauss-Jordan reduction, matrix theory, and linear vector spaces; diagonalization of an n by n matrix; and similarity, eigenvalues and eigenvectors, spectral theory for symmetric matrices, and diagonalization of quadratic forms with applications to principal component analysis.