This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least squares problems, eigenvalue problems, and linear programming problems. The book also includes a chapter on the fast Fourier transform and a very practical introduction to the solution of linear algebra problems on modern supercomputers.
The book contains the relevant theory for most of the methods employed. It also emphasizes the practical aspects involved in implementing the methods. Students using this book will actually see and write programs for solving linear algebraic problems. Highly readable FORTRAN and MATLAB codes are presented which solve all of the main problems studied.
Contents:Reference MaterialSystems of Linear EquationsLinear Least Squares ProblemsThe Eigenvalue ProblemLinear ProgrammingThe Fast Fourier TransformLinear Algebra on SupercomputersReadership: Undergraduate and graduate students, researchers in computational mathematics and linear algebra.
