Matrix Preconditioning Techniques and Applications
Written for graduate students, this book also serves as a reference for computational practitioners, engineers, and researchers. This text presents the theory and application of preconditioning techniques. Topics covered include explicit and implicit sparse preconditioners, conjugate gradient, matrix and operator splitting, fast Fourier and wavelet transforms, and Schur complements.
MATLAB is used to solve examples throughout the book.
Online Teaching with MATLAB and Simulink
Whether you are transitioning a classroom course to a hybrid model, developing virtual labs, or launching a fully online program, MathWorks can help you foster active learning no matter where it takes place.