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