MATLAB Guide
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 2017Hardback
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.