| Description |
1 online resource (849 pages) |
| Contents |
Intro -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Author -- 1. Introduction to MATLAB® -- 1.1. Starting MATLAB -- 1.1.1. Entering Commands in the Command Window -- 1.1.2. help Command -- 1.1.3. Exiting MATLAB -- 1.2. Operations and Assignment of Variables -- 1.2.1. Errors in Input -- 1.2.2. Aborting Calculations -- 1.3. Vectors and Matrices -- 1.3.1. Vectors -- 1.3.2. Matrices -- 1.3.3. Complex Number -- 1.3.4. Suppression of Screen Output -- 1.4. Numerical Expressions -- 1.5. Managing Variables -- 1.5.1. clear Command |
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1.10.5. Three-Dimensional Plots -- 1.11. Ordinary Differential Equations -- 1.12. Code File Examples -- 1.12.1. Population Growth Model -- 1.12.2. Random Fibonacci Sequence -- 1.12.3. Generation of a 3D Object -- 1.13. Simulink® -- 1.13.1. Simulink Blocks -- 1.13.2. Creation of a Simple Simulink Model -- Bibliography -- 2. Numerical Methods with MATLAB® -- 2.1. Linear Systems -- 2.1.1. Gauss Elimination Method -- 2.1.2. Gauss-Seidel Method -- 2.1.3. Conjugate Gradient Method -- 2.1.4. Use of MATLAB Built-In Functions -- 2.2. Nonlinear Equations -- 2.2.1. Polynomial Equations |
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1.5.2. Computational Limitations and Constants -- 1.5.3. ""whos"" Command -- 1.6. Symbolic Operations -- 1.6.1. Creation of Symbolic Variables -- 1.6.2. Substitution in Symbolic Equations -- 1.7. Code Files -- 1.7.1. Script Code Files -- 1.7.2. Adding Comments -- 1.7.3. Function Code Files -- 1.8. Functions -- 1.8.1. Built-In Functions -- 1.8.2. User-Defined Functions -- 1.9. Loops -- 1.9.1. If Statement -- 1.9.2. For Loop -- 1.10. Graphics -- 1.10.1. Plotting with ezplot -- 1.10.2. Modifying Graphs -- 1.10.3. Graphing with plot -- 1.10.4. Plotting Multiple Curves |
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2.2.2. Zeros of Nonlinear Equations -- 2.2.2.1. Bisection Method -- 2.2.2.2. False Position Method -- 2.2.2.3. Newton-Raphson Method -- 2.2.2.4. Secant Method -- 2.2.2.5. Muller Method -- 2.2.3. Solution of Nonlinear Equations of Several Variables -- 2.2.3.1. Newton-Raphson Method -- 2.2.3.2. Secant Method -- 2.2.3.3. Fixed-Point Iteration Method for Nonlinear Systems -- 2.2.4. Use of MATLAB Built-In Functions -- 2.3. Regression Analysis -- 2.3.1. Introduction to Statistics -- 2.3.1.1. Elementary Statistics -- 2.3.1.2. Probability Distribution -- 2.3.2. Generation of Random Numbers |
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2.3.3. Linear Regression Analysis -- 2.3.4. Polynomial Regression Analysis -- 2.3.4.1. Data Fitting by Least-Squares Method -- 2.3.4.2. Use of MATLAB Built-In Functions -- 2.3.5. Transformation of Nonlinear Functions to Linear Functions -- 2.4. Interpolation -- 2.4.1. Polynomial Interpolation -- 2.4.2. Lagrange Method -- 2.4.3. Newton Method -- 2.4.4. Cubic Splines -- 2.4.5. Use of MATLAB Built-In Functions -- 2.4.5.1. Polynomial and Cubic Spline Regression -- 2.4.5.2. Interpolation in One Dimension -- 2.4.5.3. Interpolation in Multiple Dimensions -- 2.5. Differentiation and Integration |
| Notes |
2.5.1. Differentiation |
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Print version record |
| Form |
Electronic book
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| ISBN |
9781000284928 |
|
1000284921 |
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