To put the world of linear algebra to advanced use, it is not enough to merely understand the theory; there is a significant gap between the theory of linear al

After reading this book, students should be able to analyze computational problems in linear algebra such as linear systems, least squares- and eigenvalue probl

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Regardless

Matrix analysis presented in the context of numerical computation at a basic level.