By: Desmond J. Higham, Nicholas J. Higham

Decription:

Textbook and reference introducing readers to the most popular features of MATLAB and Symbolic Math Toolbox, with instructive examples. Explains new MATLAB features and covers advances topics such as profiling, sparse matrices, Handle graphics and cell arrays. Also features a companion Web page with links to further resources. DLC: MATLAB. --This text refers to an out of print or unavailable edition of this title.

Audience No prior knowledge of MATLAB is assumed, but the reader is expected to be familiar with the basics of programming. This guide will be of particular use to researchers and practitioners, as well as undergraduate and graduate students in mathematics, statistics, engineering, computer science, and other numerous disciplines. --This text refers to an out of print or unavailable edition of this title.

About the Author

Desmond J. Higham is Professor of Mathematics at the University of Strathclyde, UK. He specializes in stochastic computation with applications in bioinformatics and mathematical finance.

Nicholas J. Higham is Richardson Professor of Applied Mathematics at the University of Manchester, UK. He specializes in numerical linear algebra and has contributed numerous M-files to Matlab.