MATLAB and Simulink Based Books

Matrix Preconditioning Techniques

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. In addition, a supplemental set of MATLAB M-files is available for download.

Companion software available Retrieve companion software

MATLAB Courseware

Teaching materials based on MATLAB and Simulink

Find full courses & labs

Trials Available

Try the latest version of mathematical modeling products.

Get trial software

About This Book

Ke Chen, University of Liverpool

Cambridge University Press, 2005

ISBN: 0-521-83828-2
Language: English