Mastering MATLAB 7
Littlefield, Bruce L, Hanselman, Duane C
ISBN 10: 0131857142 ISBN 13: 9780131857148
Editorial: Pearson Education, Limited, 2004
Usado
Encuadernación de tapa blanda
Librería:
Better World Books Ltd, Dunfermline, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Vendedor de AbeBooks desde 13 de octubre de 2008
Este artículo en concreto ya no está disponible.
Descripción
Descripción:
Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. N° de ref. del artículo GRP96118620
Sinopsis:
For undergraduate and graduate courses in MATLAB or as a reference in courses where MATLAB is used. This text covers all essential aspects of MATLAB presented within an easy-to-follow 'learn while doing' tutorial format. All new features of the latest release of MATLAB are covered-Demonstrates how the new features can be used to increase productivity and do new things Discusses integration of MATLAB with C, FORTRAN, AND Java-Increases MATLAB's power and flexibility in dealing with external algorithms, datasets, and operating system capabilities Thorough coverage of indexing, vectorizing, and linear algebra - increases students' problem-solving productivity and dramatically increases algorithm speed Abundant examples throughout - Also includes a chapter that specifically covers extensive examples Comprehensive index
Reseña del editor: For undergraduate and graduate courses in MATLAB or as a reference in courses where MATLAB is used. This text covers all essential aspects of MATLAB presented within an easy-to-follow 'learn while doing' tutorial format. All new features of the latest release of MATLAB are covered-Demonstrates how the new features can be used to increase productivity and do new things Discusses integration of MATLAB with C, FORTRAN, AND Java-Increases MATLAB's power and flexibility in dealing with external algorithms, datasets, and operating system capabilities Thorough coverage of indexing, vectorizing, and linear algebra - increases students' problem-solving productivity and dramatically increases algorithm speed Abundant examples throughout - Also includes a chapter that specifically covers extensive examples Comprehensive index
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Detalles bibliográficos
Título: Mastering MATLAB 7
Editorial: Pearson Education, Limited
Año de publicación: 2004
Encuadernación: Encuadernación de tapa blanda
Condición: Good
Edición: United States ed.