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Bestandsnummer des Verk�ufers Z09A-03402

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Bibliografische Details

Titel: Applied Numerical Methods for Engineers Using MATLAB and C
Verlag: CL Engineering
Erscheinungsjahr: 1999
Sprache: Englisch
ISBN-10: 0534370144
ISBN-13: 9780534370145
Einband: Hardcover
Zustand: Good

�ber diesen Titel

Inhaltsangabe

This book provides a comprehensive discussion of numerical computing techniques with an emphasis on practical applications in the fields of civil, chemical, electrical, and mechanical engineering. It features two software libraries that implement the algorithms developed in the text - a MATLAB(R) toolbox, and an ANSI C library. This book is intended for undergraduate students. Each chapter includes detailed case study examples from the four engineering fields with complete solutions provided in MATLAB(R) and C, detailed objectives, numerous worked-out examples and illustrations, and summaries comparing the numerical techniques. Chapter problems are divided into separate analysis and computation sections. Documentation for the software is provided in text appendixes that also include a helpful review of vectors and matrices. The Instructor's Manual includes a disk with software documentation and complete solutions to both problems and examples in the book.

�ber die Autorin bzw. den Autor

Robert J. Schilling is Professor Emeritus of Electrical and Computer Engineering at Clarkson University. Dr. Schilling's teaching interests include digital signal processing, control systems, robotics, nonlinear systems, computer graphics, and C++ and MATLAB(R) programming. His research interests encompass adaptive signal processing, nonlinear system identification, active noise control, and control of robotic manipulators. Bio: Sandra L. Harris is Associate Professor Emeritus of Chemical Engineering at Clarkson University. Dr. Harris's teaching interests include process control, thermodynamics, and biochemical engineering. Her research interests center around periodic processing, control of systems having varying dead times, and the generation of input signals for efficient process identification.

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