Skip to Main Content
This chapter on linear algebra first discusses calculation of determinants and rank, norm of a matrix, and inversion of matrices. Next, it deals with solution of linear algebraic systems of equations. Then, it gives definitions of QR decomposition and the singular value decomposition (SVD). The use of the least squares method in solving the linear overdetermined systems, the pseudo-inverse of a matrix, and solving of the underdetermined linear systems are considered. These are followed by applications.