Numerical Linear Algebra and Applications

This class-tested text is appropriate for both undergraduate and beginning graduate courses, as well as for use by working scientists and engineers as a self-study tool and reference. A number of special, user-friendly features make it possible for readers to develop a firm grasp of the concepts of roundoff errors, stability, condition, and accuracy, as well as to develop an appreciation for the core algorithms, their usefulness, and implementations.

An undergraduate textbook that highlights motivating applications and contains summary sections, examples, exercises, online MATLAB codes and a MATLAB toolkit. All the major topics of computational linear algebra are covered, from basic concepts to advanced topics such as the quadratic eigenvalue problem in later chapters.