Essentials of MATLAB Programming, Chapman S.J., 2009

Essentials of MATLAB Programming, Chapman S.J., 2009.
 
   Essentials of MATLAB Programming, Second Edition is designed to serve as the text for an “Introduction to Programming/Problem Solving” course for freshman engineering students. This material should fit comfortably into a nine-week, three-hour course.




Disadvantages of MATLAB.
MATLAB has two principal disadvantages. The first is that it is an interpreted language and, therefore, can execute more slowly than compiled languages. This problem can be mitigated by properly structuring the MATLAB program to maximize the performance of vectorized code, and through the use of the JIT compiler.

The second disadvantage is cost; a full copy of MATLAB is five to ten times more expensive than a conventional C or Fortran compiler. This relatively high cost is more than offset by the reduced time required for an engineer or scientist to create a working program, so MATLAB is cost-effective for businesses. However, it is too expensive for most individuals to consider purchasing. Fortunately, there is also an inexpensive Student Edition of MATLAB, which is a great tool for students wishing to learn the language. The Student Edition of MATLAB is essentially identical to the full edition.

Contents.
Chapter 1 Introduction to MATLAB.
1.1 The Advantages of MATLAB.
1.2 Disadvantages of MATLAB.
1.3 The MATLAB Environment.
1.4 Using MATLAB as a Scratch Pad.
1.5 Summary.
1.6 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.
2.1 I Introduction to Plotting.
2.12. Examples.
2.13. Debugging MATLAB Programs.
2.14. Summary.
2.15 Exercises.
Chapter 3 Branching Statements and Program Design.
3.1. Introduction to Top-Down Design Techniques.
3.2. Use of Pseudocode.
3.3. The Logical Data Type.
3.4. Branches.
3.5. Additional Plotting Features.
3.6. More on Debugging MATLAB Programs.
3.7. Summary.
3.8. Exercises.
Chapter 4 Loops.
4.1. The while Loop.
4.2. The for Loop.
4.3. Logical Arrays and Vectorization.
4.4 The MATLAB Profiler.
4.5. Additional Examples.
4.6. Summary.
4.7. Exercises.
Chapter 5 User-Defined Functions.
5.1. Introduction to MATLAB Functions.
5.2. Variable Passing in MATLAB: The Pass-by-Value Scheme.
5.3. Optional Arguments.
5.4. Sharing Data Using Global Memory.
5.5. Preserving Data between Calls to a Function.
5.6. Function Functions.
5.7. Subfunctions and Private Functions.
5.8. Summary.
5.9. Exercises.
Chapter 6 Additional Data Types and Plot Types.
6.1 Complex Data.
6.2 String Functions.
6.3. Multidimensional Arrays.
6.4. Additional Two-Dimensional Plots.
6.5. Three-Dimensional Plots.
6.6. Summary.
6.7. Exercises.
Chapter 7 Cell Arrays, Structures, and Handle Graphics.
7.1. Cell Arrays.
7.2. Structure Arrays.
7.3. Handle Graphics.
7.4. Position and Units.
7.5. Printer Positions.
7.6. Default and Factory Properties.
7.7. Graphics Object Properties.
7.8. Summary.
7.9. Exercises.
A ASCII Character Set.
В MATLAB Input/Output Functions.
C Answers to Quizzes.
Index.



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