Introduction to MATLAB / Edition 2

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Overview

Introduction to MATLAB, 2/e is appropriate for Introductory Engineering courses.

Best-selling author Delores Etter provides an up-to-date introduction to MATLAB. Using a consistent five-step problem-solving methodology, Etter describes the computational and visualization capabilities of MATLAB and illustrates the problem solving process through a variety of engineering examples and applications.

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Editorial Reviews

From the Publisher

“The best features of this test are the format, using chapter objectives, summaries keyed to the objectives, programming summaries, debugging and styles notes, and complete examples using the problem solving method.”

-Virgil Thomason, UNIVERSITY OF TENNESSEE AT CHATTANOOGA

“Dr. Etter’s strength is the straight forward way she presents the material. She motivates the topic with a well chosen example and then builds up to the solution in almost a menu driven way.”

-Nurgon Erdol, FLORIDA ATLANTIC UNIVERSITY

“The Problem Statements are extremely valuable. Topics simply cannot be presented without exploring practical examples. Etter’s systematic approach to solving problems is clear and straightforward.”

-Howard Fulmer, VILLANOVA UNIVERSITY

“The book does not assume an advanced math background which makes it appropriate for lower level students. It introduces the concepts in a concise and clear manner without overwhelming the student with huge amounts of detail that can be confusing to a beginner programmer.”

-Mohammad Saed, TEXAS TECH UNIVERSITY

“The introduction of the Engineering Grand Challenges at the beginning of each chapter adds a sense of purpose to the material and greatly increases the value of the text. The inclusion of examples related to each Grand Challenge also adds value to the book and links together the chapters into one cohesive unit.”

-Jeffrey Ringenberg, UNIVERSITY OF MICHIGAN

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Product Details

  • ISBN-13: 9780136081234
  • Publisher: Prentice Hall
  • Publication date: 8/24/2010
  • Series: ESource: the Prentice Hall Engineering Source Series
  • Edition description: Older Edition
  • Edition number: 2
  • Pages: 256
  • Sales rank: 291,945
  • Product dimensions: 8.00 (w) x 9.80 (h) x 0.70 (d)

Meet the Author

Dr. Delores M. Etter, Assistant Secretary of the Navy for Research, Development and Acquisition, leads R&D and acquisition throughout the U.S. Navy. She is the first United States Naval Academy faculty member to hold the Office of Naval Research Distinguished Chair in Science and Technology. Dr. Etter is a member of the National Academy of Engineering, and a fellow of IEEE, AAAS, and ASEE.
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Table of Contents

1 • AN INTRODUCTION TO ENGINEERING PROBLEM SOLVING 1
Engineering Achievements 1
1.1 Engineering Environment 1
1.2 Engineering Computing and MATLAB 2
1.3 An Engineering Problem-Solving Methodology 7

2 • GETTING STARTED WITH MATLAB 16
Engineering Achievement: Wind Tunnels 16
2.1 Introduction to MATLAB and MATLAB Windows 16
2.2 Simple Operations 24
2.3 Output Options 39
2.4 Saving Your Work 44

3 • MATLAB FUNCTIONS 56
Engineering Achievement:Weather Prediction 56
3.1 Introduction to Functions 56
3.2 Elementary Mathematical Functions 59
3.3 Trigonometric Functions 64
3.4 Data Analysis Functions 68
3.5 Random Number Generating Functions 79
3.6 User-Defined Functions 86

4 • PLOTTING 96
Engineering Achievement: Ocean Dynamics 96
4.1 x-y Plots 96
4.2 Three-Dimensional Plots 118
4.3 Editing Plots from the Menu Bar 123
4.4 Creating Plots from the Workspace Window 125

5 • CONTROL STRUCTURES 130
Engineering Achievement: Signal Processing 130
5.1 Relational and Logical Operators 130
5.2 Selection Structures 133
5.3 Loops 144

6 • MATRIX COMPUTATIONS 152
Engineering Achievement: Manned Space Flight 152
6.1 Special Matrices 152
6.2 Matrix Operations and Functions 158
6.3 Solutions to Systems of Linear Equations 169

7 • SYMBOLIC MATHEMATICS 179
Engineering Achievement: Geolocation 179
7.1 Symbolic Algebra 179
7.2 Equation Solving 185
7.3 Differentiation and Integration 191

8 • NUMERICAL TECHNIQUES 197
Engineering Achievement: Dynamic Fluid Flow 197
8.1 Interpolation 197
8.2 Curve Fitting: Linear and Polynomial Regression 206
8.3 Using the Interactive Fitting Tool 214
8.4 Numerical Integration 218
8.5 Numerical Differentiation 221
INDEX

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