Practical insights into floating-point arithmetic and condition numbers, helping you understand why some algorithms work in theory but fail in software.
Deep dives into eigenvalues and eigenvectors with a focus on iterative methods used in large-scale modern computing. Fundamentals of Matrix Analysis with Applications
Packed with worked examples and exercise sets that range from basic drill problems to complex, application-based challenges. Fundamentals of Matrix Analysis with Applications