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

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

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

Nonnegative matrix factorization (NMF) in its modern form has become a standard tool in the analysis of high-dimensional data sets. This book provides a compreh