SIAM News Blog

MATLAB Guide, Third Edition

by Desmond J. Higham and Nicholas J. Higham


This third edition replaces MATLAB Guide, Second Edition (OT92, 978-0-898715-78-1), which is no longer available.

2017 / Approx. xxvi + 474 pages / Hardcover / ISBN 978-1-611974-65-2 List Price $62.00 / SIAM Member Price $43.40 / Order Code OT150

Keywords: MATLAB, numerical analysis, scientific computation, programming, data science


MATLAB is an interactive system for numerical computation that is widely used for teaching and research in industry and academia. It provides a modern programming language and problem solving environment, with powerful data structures, customizable graphics, and easy-to-use editing and debugging tools.

This third edition of MATLAB Guide completely revises and updates the best-selling second edition and is more than 30 percent longer. The book remains a lively, concise introduction to the most popular and important features of MATLAB and the Symbolic Math Toolbox.

Key features are

  • a tutorial in Chapter 1 that gives a hands-on overview of MATLAB,
  • a thorough treatment of MATLAB mathematics, including the linear algebra and numerical analysis functions and the differential equation solvers, and
  • a web page at that provides example program files, updates, and links to MATLAB resources.

The new edition

  • contains color figures throughout,
  • includes pithy discussions of related topics in new “Asides" boxes that augment the text,
  • has new chapters on the Parallel Computing Toolbox, object-oriented programming, graphs, and large data sets,
  • covers important new MATLAB data types such as categorical arrays, string arrays, tall arrays, tables, and timetables,
  • contains more on MATLAB workflow, including the Live Editor and unit tests, and
  • fully reflects major updates to the MATLAB graphics system.

This book is suitable for both beginners and more experienced users, including students, researchers, and practitioners.

About the Authors
Desmond J. Higham is 1966 Chair of Numerical Analysis at the University of Strathclyde, UK. His research focuses on stochastic computation, network science, and city analytics. He is a SIAM Dahlquist Prize winner, a SIAM Fellow, and a Fellow of the Royal Society of Edinburgh.

Nicholas J. Higham is Richardson Professor of Applied Mathematics at the University of Manchester, UK. His research focuses on numerical linear algebra, and he has contributed numerous functions to MATLAB. He is a Fellow of the Royal Society, a SIAM Fellow, and a Member of Academia Europaea.


ISBN: 9781611974652
ISBN 2e: 9780898715781
ISBN 1e: 9780898714692

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