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MATLAB Guide

MATLAB Guide

MATLAB Guide

3rd Edition
Desmond J. Higham, University of Strathclyde
Nicholas J. Higham, University of Manchester
February 2017
Hardback
9781611974652
£53.99
GBP
Hardback

    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 the MATLAB Guide completely revises and updates the best-selling second edition and is over thirty per cent longer. Colour figures are provided throughout and major updates to the MATLAB graphics system are fully reflected. The book remains a lively, concise introduction to the most popular and important features of MATLAB and the Symbolic Math Toolbox. Key features include a tutorial 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 webpage at http://www.siam.org/books/ot150 that provides example program files, updates, and links to MATLAB resources.

    • Contains 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
    • Fully reflects major updates to the MATLAB graphics system

    Product details

    February 2017
    Hardback
    9781611974652
    500 pages
    262 × 185 × 34 mm
    1.23kg
    This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.

    Table of Contents

    • List of figures
    • List of tables
    • List of program files
    • Preface
    • 1. A brief tutorial
    • 2. Basics
    • 3. Distinctive features of MATLAB
    • 4. Arithmetic
    • 5. Matrices
    • 6. Operators and flow control
    • 7. Program files
    • 8. Graphics
    • 9. Linear algebra
    • 10. More on functions
    • 11. Numerical methods: part I
    • 12. Numerical methods: part II
    • 13. Input and output
    • 14. Troubleshooting
    • 15. Sparse matrices
    • 16. More on coding
    • 17. Advanced graphics
    • 18. Other data types and multidimensional arrays
    • 19. Object-oriented programming
    • 20. The symbolic math toolbox
    • 21. Graphs
    • 22. Large data sets
    • 23. Optimizing codes
    • 24. Tricks and tips
    • 25. The parallel computing toolbox
    • 26. Case studies
    • Appendix A. The top 111 MATLAB functions
    • Glossary
    • Bibliography
    • Index.