Includes index.

Bibliography: p. [472].

$a Matrices and Gaussian Elimination. Vector Spaces and Linear Equations. Orthogonality. Determinants. Eigenvalues and Eigenvectors. Positive Definite Matrices. Computations with Matrices. Linear Programming and Game Theory. Appendix A: The Singular Value Decomposition and the Pseudoinverse. Appendix B: The Jordan Form. Appendix C: Computer Codes for Linear Algebra References. Solutions to Selected Exercises.

$a This text has a highly applied and computational focus. It combines the important underlying theory discussions with examples from electrical engineering, computer science, physics, biology, and economics. There are twice as many examples in this edition as there were in previous editions. Many new exercises appear in the sections and in the chapter reviews, especially exercises that are simple but instructive. An expanded list of computer codes in an appendix and more computer-solvable exercises in the text reflect Strang's interest in computational linear algebra.