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# MATLAB Programming for Engineers 6th Edition by Stephen J. Chapman, ISBN-13: 978-0357030394

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MATLAB Programming for Engineers 6th Edition by Stephen J. Chapman, ISBN-13: 978-0357030394

[PDF eBook eTextbook]

• Publisher: ‎ Cengage Learning; 6th edition (January 15, 2019)
• Language: ‎ English
• 864 pages
• ISBN-10: ‎ 0357030397
• ISBN-13: ‎ 978-0357030394

Master today’s MATLAB technical programming language while strengthening problem-solving skills with the help of Chapman’s successful MATLAB PROGRAMMING FOR ENGINEERS, 6th Edition. You learn how to write clean, efficient and well-documented programs as you simultaneously gain an understanding of the many practical functions of MATLAB. You study the latest version of MATLAB R2018a and work with new MATLAB GUI (Graphical User Interface) Apps. The first nine chapters provide a basic introduction to programming and problem solving, while the remaining chapters address more advanced topics, such as I/O, object-oriented programming, and Graphical User Interfaces. With this comprehensive coverage, MATLAB PROGRAMMING FOR ENGINEERS, 6th Edition serves as a trusted reference tool throughout your studies and into your professional career as you work with MATLAB.

Preface
Digital Resources
Contents
Chapter 1: Introduction to MATLAB
1.3 The MATLAB Environment
1.4 Using MATLAB as a Calculator
1.5 MATLAB Script Files
1.6 Summary
1.7 Exercises
Chapter 2: MATLAB Basics
2.1 Variables and Arrays
2.2 Creating and Initializing Variables in MATLAB
2.3 Multidimensional Arrays
2.4 Subarrays
2.5 Special Values
2.6 Displaying Output Data
2.7 Data Files
2.8 Scalar and Array Operations
2.9 Hierarchy of Operations
2.10 Built-in MATLAB Functions
2.11 Introduction to Plotting
2.12 Examples
2.13 MATLAB Applications: Vector Mathematics
2.14 MATLAB Applications: Matrix Operations and Simultaneous Equations
2.15 Debugging MATLAB Programs
2.16 Summary
2.17 Exercises
Chapter 3: Two-Dimensional Plots
3.1 Additional Plotting Features for Two-Dimensional Plots
3.2 Polar Plots
3.3 Annotating and Saving Plots
3.4 Additional Types of Two-Dimensional Plots
3.5 Using the plot Function with Two-Dimensional Arrays
3.6 Plots with Two y Axes
3.7 Summary
3.8 Exercises
Chapter 4: Branching Statements and Program Design
4.1 Introduction to Top-Down Design Techniques
4.2 Use of Pseudocode
4.3 The logical Data Type
4.4 Branches
4.5 More on Debugging MATLAB Programs
4.6 Code Sections
4.7 MATLAB Applications: Roots of Polynomials
4.8 Summary
4.9 Exercises
Chapter 5: Loops and Vectorization
5.1 The while Loop
5.2 The for Loop
5.3 Logical Arrays and Vectorization
5.4 The MATLAB Profiler
5.7 MATLAB Applications: Statistical Functions
5.8 MATLAB Applications: Curve Fitting and Interpolation
5.9 Summary
5.10 Exercises
Chapter 6: Basic User-Defined Functions
6.1 Introduction to MATLAB Functions
6.2 Variable Passing in MATLAB: The Pass-by-Value Scheme
6.3 Optional Arguments
6.4 Sharing Data Using Global Memory
6.5 Preserving Data between Calls to a Function
6.6 Built-In MATLAB Functions: Sorting Functions
6.7 Built-In MATLAB Functions: Random Number Functions
6.8 Summary
6.9 Exercises
Chapter 7: Advanced Features of User-Defined Functions
7.1 Function Functions
7.2 Function Handles
7.3 Functions eval and feval
7.4 Local Functions, Private Functions, and Nested Functions
7.5 An Example Application: Solving Ordinary Differential Equations
7.6 Anonymous Functions
7.7 Recursive Functions
7.8 Plotting Functions
7.9 Histograms
7.10 An Example Application: Numerical Integration
7.11 Summary
7.12 Exercises
Chapter 8: Complex Numbers and Additional Plots
8.1 Complex Data
8.2 Multidimensional Arrays
8.3 Gallery of MATLAB Plots
8.4 Line Plots
8.5 Discrete Data Plots
8.6 Polar Plots
8.7 Contour Plots
8.8 Surface and Mesh Plots
8.9 Pie Charts, Bar Plots, and Histograms
8.10 Color Order, Color Maps, and Color Bars
8.11 Summary
8.12 Exercises
9.1 Character Arrays versus Strings
9.2 Character Arrays and Character Functions
9.3 The string Data Type
9.4 Summary of Character Array and String Functions
9.5 The single Data Type
9.6 Integer Data Types
9.7 Limitations of the single and Integer Data Types
9.8 The datetime and duration Data Types
9.9 Summary
9.10 Exercises
Chapter 10: Sparse Arrays, Cell Arrays, Structures, and Tables
10.1 Sparse Arrays
10.2 Cell Arrays
10.3 Structure Arrays
10.4 Table Arrays
10.5 Summary
10.6 Exercises
Chapter 11: Input-Output Functions
11.3 An Introduction to MATLAB File Processing
11.4 File Opening and Closing
11.5 Binary I/O Functions
11.6 Formatted I/O Functions
11.7 Comparing Formatted and Binary I/O Functions
11.8 File Positioning and Status Functions
11.9 The textscan Function
11.10 Function uiimport
11.11 Summary
11.12 Exercises
Chapter 12: User-Defined Classes and Object-Oriented Programming
12.1 An Introduction to Object-Oriented Programming
12.2 The Structure of a MATLAB Class
12.3 Value Classes versus Handle Classes
12.4 Destructors: The delete Method
12.5 Access Methods and Access Controls
12.6 Static Methods
12.7 Defining Class Methods in Separate Files
12.8 Overriding Operators
12.9 Events and Listeners
12.10 Exceptions
12.11 Superclasses and Subclasses
12.12 Summary
12.13 Exercises
Chapter 13: Handle Graphics and Animation
13.1 Handle Graphics
13.2 The MATLAB Graphics System
13.3 Object Handles
13.4 Examining and Changing Object Properties
13.5 Using set to List Possible Property Values
13.6 User-Defined Data
13.7 Finding Objects
13.8 Selecting Objects with the Mouse
13.9 Position and Units
13.10 Printer Positions
13.11 Default and Factory Properties
13.12 Restoring Default Properties
13.13 Graphics Object Properties
13.14 Animations and Movies
13.15 Summary
13.16 Exercises
Chapter 14: MATLAB Apps and Graphical User Interfaces
14.1 How a Graphical User Interface Works
14.2 Creating and Displaying a Graphical User Interface
14.3 Object Properties
14.4 Additional Containers: Panels, Tab Groups, and Button Groups
14.5 Dialog Boxes
14.7 Summary
14.8 Exercises
Appendix A: UTF-8 Character Set
Index

Stephen J. Chapman received a B.S. in Electrical Engineering from Louisiana State University and an M.S.E. in Electrical Engineering from the University of Central Florida. He pursued further graduate studies at Rice University. Mr. Chapman has served as an officer in the U.S. Navy, assigned to teach Electrical Engineering at the U.S. Naval Nuclear Power School in Orlando, Florida. He was also affiliated with the University of Houston, where he ran the power systems program in the College of Technology. In addition, he has served as a member of the technical staff of the Massachusetts Institute of Technology’s Lincoln Laboratory, both at the main facility in Lexington, Massachusetts, and at the field site on Kwajalein Atoll in the Republic of the Marshall Islands. While there, he did research in radar signal processing systems. He ultimately became the leader of four large operational range instrumentation radars at the Kwajalein field site (TRADEX, ALTAIR, ALCOR, and MMW). Mr. Chapman also served as a research engineer at Shell Development Company in Houston, Texas, where he conducted seismic signal processing research. In addition, he was affiliated with the University of Houston, where he continued to teach on a part-time basis. Mr. Chapman is currently Manager of Systems Modeling and Operational Analysis for BAE Systems Australia in Melbourne, Australia. He is the subject matter expert of a team that has developed a model of how naval ships defend themselves. This model contains more than 400,000 lines of MATLAB code written over more than a decade. Mr. Chapman is a Senior Member of the Institute of Electrical and Electronic Engineers (and several of its component societies). He is also a member of the Institution of Engineers (Australia).

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