Computational linear algebra

This chapter introduces the foundations for computational linear algebra, starting with vectors and dot product. Then the matrix inverse and systems of linear equations are introduced. The eigenvalues and eigenvectors of a symmetric matrix are calculated, and their relationship to the definiteness of the corresponding matrix is also explained. Iterative methods for solving linear systems are also given with a worked example.