Learning MATLAB

Tobin A. Driscoll (Autor)

Buch | Softcover

111 Seiten

2009
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-0-89871-683-2 (ISBN)

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Provides a concise introduction to the essentials of the MATLAB programming language and is ideal for readers seeking a focused and brief approach to the software. Learning MATLAB contains numerous examples and exercises involving the software's most useful and sophisticated features and an overview of the most common scientific computing tasks for which it can be used.

This engaging book is a concise introduction to the essentials of the MATLAB programming language and is ideal for readers seeking a focused and brief approach to the software. Learning MATLAB contains numerous examples and exercises involving the software’s most useful and sophisticated features and an overview of the most common scientific computing tasks for which it can be used.

The presentation is designed to guide new users through the basics of interacting with and programming in the MATLAB software, while also presenting some of its more important and advanced techniques, including how to solve common problem types in scientific computing. Rather than including exhaustive technical material, the author teaches through readily understood examples and numerous exercises that range from straightforward to very challenging. Readers are encouraged to learn by doing: entering the examples themselves, reading the online help, and trying the excercises.

This engaging book is a concise introduction to the essentials of the MATLAB programming language.

Learning MATLAB is ideal for readers seeking:

A focused and brief approach to the software.
Numerous examples and exercises involving the software’s most useful and sophisticated features.
An overview of the most common scientific computing tasks for which the software can be used.

Tobin A. Driscoll is an Associate Professor in the Department of Mathematical Sciences at the University of Delaware. His research focuses on the numerical analysis of differential equations, and he is coauthor with L. N. Trefethen of Schwarz-Christoffel Mapping (Cambridge University Press, 2002).

List of Figures
List of Tables
Preface
Chapter 1: Introduction
Chapter 2: Arrays and Matrices
Chapter 3: Scripts and Functions
Chapter 4: More on Functions
Chapter 5: Graphics
Chapter 6: Advanced Techniques
Chapter 7: Scientific Computing
Afterword
Index.

Erscheint lt. Verlag	30.7.2009
Verlagsort	New York
Sprache	englisch
Maße	152 x 229 mm
Gewicht	175 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
ISBN-10	0-89871-683-7 / 0898716837
ISBN-13	978-0-89871-683-2 / 9780898716832
Zustand	Neuware