Numerical Linear Algebra with Applications

Preface

This book is intended for an advanced undergraduate or a first-year graduate course in numerical linear algebra, a very important topic for engineers and scientists. Many of the numerical methods used to solve engineering and science problems have linear algebra as an important component. Examples include spline interpolation, estimation using least squares, and the solution of ordinary and partial differential equations. It has been said that, next to calculus, linear algebra is the most important component in engineering problem solving. In computer science, linear algebra is a critical as well. The Google matrix is an example, as is computer graphics where matrices are used for rotation, projection, rescaling, and translation. Applications ...