MATLAB Guide
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ISBN: 978-1-61197-465-2
Editorial: Siam
Fecha de la edición: 2017
Edición Nº: 3
idioma: Ingles
Encuadernación:
Nº Pág.: 500

pvp.70.55 €

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Resumen del libro

Reseña: 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
indice:

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.



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