A handbook for MATLAB which gives a focused approach to the software for students and professional researchers.
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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).
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Paperback. Zustand: New. 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. Artikel-Nr. LU-9780898716832
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