Numerical linear algebra for applications in statistics
Describes computer algorithms for factoring matrices solving linear systems of equations and extracting eigenvalues and eigenvectors this book begins with a discussion of the basics of numerical computations and then describes the properties of matrix inverses matrix factorizations matrix and vector norms and other topics in linear algebra