Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences, 3)

Matrix Computations is a comprehensive guide to numerical linear algebra, providing both theoretical and practical insights into solving matrix problems.

This fourth edition includes new sections on fast transforms, parallel LU, discrete Poisson solvers, pseudospectra, structured linear equation problems, structured eigenvalue problems, large-scale SVD methods, and polynomial eigenvalue problems.

The book is packed with challenging problems, insightful derivations, and references to the literature, making it an indispensable tool for scientists, engineers, and researchers in the field.

With over 100,000 citations since its release in 2005, Matrix Computations is a must-have resource for anyone working with matrices.