ISBN 9788131504000,Applied Numerical Methods for Engineers using MATLAB and C

Applied Numerical Methods for Engineers using MATLAB and C




Cengage Learning



Cengage Learning

Publication Year 2007

ISBN 9788131504000

ISBN-10 813150400X


Number of Pages 736 Pages
Language (English)

Computer Engineering

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 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 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.

Salient Features

Comprehensive coverage of topics, including chapters on optimization (Chapter 6) and digital signal processing (Chapter 10).
Two complete software libraries with source code and built-in documentation that implement the algorithms developed in the text. A GUI-driven MATLAB toolbox and a comprehensive ANSI C library are provided on an accompanying CD-ROM bound into the text.
38 detailed case studies apply techniques to problems in civil, mechanical, chemical and electrical engineering, with solutions in both MATLAB and C.
Clear, engaging writing style with motivational problems at the start of each chapter, and numerous worked-out examples and illustrations.
Detailed objectives and summaries for each chapter.

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Table of Contents
1. Numerical Computation
2. Linear Algebraic Systems
3. Eigenvalues And Eigenvectors
4. Curve Fitting
5. Root Finding
6. Optimization
7. Differentiation And Integration
8. Ordinary Differential Equations
9. Partial Differential Equations
10. Digital Signal Processing References And Further Readings