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Engineering Computation with MATLAB
David M. SmithGeorgia Institute of Technology

ISBN-10: 0321481089
ISBN-13:  9780321481085

Publisher:  Prentice Hall
Copyright:  2008
Format:  Paper; 480 pp
Published:  02/09/2007
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Description

Engineering Computation with MATLAB® introduces the power of computing to engineering students with no previous programming experience. By spending time on meaningful engineering examples, professor and trained engineer David Smith places the fundamental tenets of computer programming into the context of MATLAB, a user-friendly language for engineers. Engineering Computation with MATLAB® employs hands-on exercises, examples from the world of engineering, and a variety core tools to increase general proficiency and capability in computer programming, preparing engineering students to fluidly adapt learned programming concepts to other languages.


Features

  • Engineering Examples are interspersed in the chapters, providing robust examples that extend chapter concepts into practice, such as the fundamental principles used to implement vehicle navigation systems.
  • Do It Yourself boxes allow readers to see for themselves the MATLAB implementation of the concepts presented in the text.
  • Style Points clearly describe advice for students when running a particular operation.
  • Common Pitfall boxes alert readers to common pitfalls and mistakes in every chapter, and clearly explain how to avoid them.
  • Sanity Checks show students how to predict the results they should get from running computations.
  • End-of-chapter material–including a chapter summary, true-or-false question and answers, fill-in-the-blanks and answers, and suggested programming projects–helps readers assess their understanding.
  • Each new copy of Engineering Computation with MATLAB® comes with an access card to the password-protected Companion Website, featuring:
    • Six bonus chapters including material on searching graphs, object-oriented dynamic data structures (linked lists, binary trees, N-ary trees, and graphs), and the cost of computing
    • Two additional appendices: Web reference materials and selected student solutions
    • Source code
    • And more


Table of Contents

Chapter 1: Introduction to Computers and Programming
1.1 Background
1.2 History of Computer Architectures
1.3 Computing Systems Today
1.4 Executing a MATLAB Program
1.5 Problem Solving

Chapter 2: Getting Started with MATLAB
2.1 Programming Language Background
2.2 Basic Data Manipulation
2.3 The MATLAB User Interface
2.4 Scripts
2.5 Engineering Example—Spacecraft Launch

Chapter 3: Arrays
3.1 Concept: Using Built-in Functions
3.2 Concept: Data Collections
3.3 MATLAB Vectors
3.4 Engineering Example—Forces and Moments
3.5 MATLAB Arrays
3.6 Engineering Example—Computing Soil Volume

Chapter 4: Execution Control
4.1 Concept: Code Blocks    
4.2 Conditional Execution in General
4.3 if Statements
4.4 switch Statements
4.5 Iteration in General
4.6 for Loops
4.7 while Loops
4.8 Engineering Example—Computing Liquid Levels

Chapter 5: Functions
5.1 Concepts: Abstraction and Encapsulation
5.2 Black Box View of a Function
5.3 MATLAB Implementation
5.4 Engineering Example—Measuring a Solid Object

Chapter 6: Character Strings
6.1 Character String Concepts: Mapping and Casting
6.2 MATLAB Implementation
6.3 Format Conversion Functions
6.4 Character String Operations
6.5 Arrays of Strings
6.6 Engineering Example—Encryption

Chapter 7: Cell Arrays and Structures
7.1 Concept: Collecting Dissimilar Objects
7.2 Cell Arrays
7.3 MATLAB Structures
7.4 Structure Arrays
7.5 Engineering Example—Assembling a Structure

Chapter 8: File Input and Output
8.1 Concept: Serial Input and Output (I/O)
8.2 MATLAB Workspace I/O
8.3 High-Level I/O Functions    
8.4 Lower-Level File I/O
8.5 Engineering Example—Spreadsheet Data

Chapter 9: Recursion
9.1 Concept: The Activation Stack
9.2 Recursion Defined
9.3 Implementing a Recursive Function in MATLAB
9.4 Exceptions
9.5 Wrapper Functions
9.6 Tail Recursion
9.7 Mutual Recursion
9.8 Generative Recursion
9.9 Examples of Recursion
9.10 Engineering Example—Robot Arm Motion

Chapter 10: Principles of Problem Solving
10.1 Solving Simple Problems
10.2 Assembling Solution Steps
10.3 Summary of Operations
10.4 Solving Larger Problems
10.5 Engineering Example—Processing Geo-Political Data

Chapter 11: Plotting
11.1 Plotting in General
11.2 2-D Plotting
11.3 3-D Plotting
11.4 Surface Plots
11.5 Engineering Example—Visualizing Geographic Data

Chapter 12: Matrices
12.1 Concept: Behavioral Abstraction
12.2 Matrix Operations
12.3 MATLAB Implementation
12.4 Rotating Coordinates
12.5 Solving Simultaneous Linear Equations
12.6 Engineering Examples

Chapter 13: Images
13.1 Nature of an Image
13.2 Image Types
13.3 Reading, Displaying, and Writing Images
13.4 Operating on Images
13.5 Engineering Example—Detecting Edges

Chapter 14: Processing Sound
14.1 The Physics of Sound
14.2 Recording and Playback
14.3 MATLAB Implementation
14.4 Time Domain Operations
14.5 The Fast Fourier Transform
14.6 Frequency Domain Operations
14.7 Engineering Example—Oil Rig Structural Integrity

Chapter 15: Numerical Methods
15.1 Interpolation
15.2 Curve Fitting
15.3 Numerical Integration
15.4 Numerical Differentiation
15.5 Engineering Example—Analyzing Rocket Data

Chapter 16: Sorting
16.1 Measuring Algorithm Cost
16.2 Algorithms for Sorting Data
16.3 Performance Analysis
16.4 Applications of Sorting Algorithms
16.5 Engineering Example—A Selection of Countries

Online Chapters
Chapter 17: Searching Graphs

Chapter 18: Object-Oriented Programming
Chapter 19: Linked Lists
Chapter 20: Binary Trees
Chapter 21: N-ary Trees and Graphs
Chapter 22: The Cost of Computing

Appendixes
A MATLAB Special Characters, Reserved Words, and Symbols
B The ASCII Character Set
C Internal Number Representation
D Web Reference Materials (online)
E Answers to True or False and Fill in the Blanks (online)

Index



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Author Bios

David Smith has been teaching introductory computer science classes for engineers at the Georgia Institute of Technology since 1997 when he retired from industry. Previously, he worked 31 years for Lockheed-Martin at their Marietta, Georgia, facility as a systems and software specialist with a focus on intelligent systems.  He was active in designing and developing software for the C-130J, C-27J, F-22 and C-5 aircraft, and was the technical leader of the Pilot’s Associate program, a $42 million research project sponsored by the Defense Advanced Research Projects Agency.

He has a bachelor’s degree in aeronautical engineering from Southampton University, and a master’s degree in control systems from Imperial College, London.

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