MATLAB Guide
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-1-61197-465-2 (ISBN)
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.
Desmond J. Higham is 1966 Chair of Numerical Analysis at the University of Strathclyde. 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. 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.
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.
| Erscheinungsdatum | 10.02.2017 |
|---|---|
| Zusatzinfo | Worked examples or Exercises |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 185 x 262 mm |
| Gewicht | 1230 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
| Mathematik / Informatik ► Mathematik ► Algebra | |
| Mathematik / Informatik ► Mathematik ► Analysis | |
| ISBN-10 | 1-61197-465-8 / 1611974658 |
| ISBN-13 | 978-1-61197-465-2 / 9781611974652 |
| Zustand | Neuware |
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