MATLAB Programming


Author: David Kuncicky

Category: Study

Tag: Mathematics


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Description


  • Author: David Kuncicky
The MATLAB System; The MATLAB Interactive Environment; The Programming Elements of MATLAB; Control Structures; Arrays and Matrix Operations; Plotting and Graphing; Procedural Abstraction; Recursion; Introduction to Object-Oriented Programming; and Software Development. For professionals in General Engineering or Computer Science fields.



Contents



1 Engineering Problem Solving

1.1 Problem-Solving Process

1.2 ProblemSolving Example

1.3 Computing Software

1.4 Computing Terminology



2 Matlab Technical Computing Environment

2.1 Workspace,Windows, and Help

2.2 ScalarMathematics

2.3 BasicMathematical Functions

2.4 Computational Limitations

2.5 Display Options

2.6 Accuracyand Precision



3 Files and File Management

3.1 FileManagement Definitions and Commands

3.2 Saving and RestoringMatlab Information

3.3 ScriptM-Files

3.4 Errors and Debugging

3.5 Matlab Search Path, PathManagement, and Startup



4 Trigonometry and Complex Numbers

4.1 Trigonometry

4.2 Complex Numbers

4.3 Two-Dimensional Plotting



5 Arrays and Array Operations

5.1 Vector Arrays

5.2 Matrix Arrays

5.3 ArrayPlotting Capabilities



6 Mathematical Functions and Applications

6.1 Signal Representation, Processing, and Plotting

6.2 Poly nomials

6.3 Partial Fraction Expansion

6.4 Functions of Two Variables

6.5 User-Defined Functions

6.6 Plotting Functions



7 DataAnalysis

7.1 Maximum andMinimum

7.2 Sums and Products

7.3 Statistical Analysis

7.4 Random Number Generation



8 Selection Programming

8.1 Relational and Logical Operators

8.2 Flow Control

8.3 Loops

8.4 Selection Statements in User-Defined Functions

8.5 Update Processes

8.6 Applied ProblemSolving: Speech Signal Analysis



9 Vectors, Matrices and Linear Algebra

9.1 Vectors

9.2 Matrices

9.3 Solutions to Systems of Linear Equations

9.4 Applied ProblemSolving: RobotMotion



10 Curve Fitting and Interpolation

10.1 Minimum Mean-Square Error Curve Fitting

10.2 Applied Problem Solving: Hydraulic Engineering

10.3 Interpolation

10.4 Applied Problem Solving: Human Hearing



11 Integration and Differentiation

11.1 Numerical Integration

11.2 Numerical Differentiation



12 Strings, Time, Base Conversion and Bit Operations

12.1 Character Strings

12.2 Time Computations

12.3 Base Conversions and Bit Operations



13 Symbolic Processing

13.1 Symbolic Expressions and Algebra

13.2 Manipulating Trigonometric Expressions

13.3 Evaluating and Plotting Sy mbolic Expressions

13.4 Solving Algebraic and Transcendental Equations

13.5 Calculus

13.6 Linear Algebra

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