Essential MATLAB for engineers and scientists

 Content: Machine generated contents note: pt. 1 Essentials --
 ch. 1 Introduction --
 1.1. Using MATLAB --
 1.1.1. Arithmetic --
 1.1.2. Variables --
 1.1.3. Mathematical functions --
 1.1.4. Functions and commands --
 1.1.5. Vectors --
 1.1.6. Linear equations --
 1.1.7. Tutorials and demos --
 1.2. The desktop --
 1.2.1. Using the Editor and running a script --
 1.2.2. Help, publish, and view --
 1.2.3. Symbolics and the MuPAD notebook APP --
 1.2.4. Other APPS --
 1.2.5. Additional features --
 1.3. Sample program --
 1.3.1. Cut and paste --
 1.3.2. Saving a program: script files --
 1.3.3.A program in action --
 Summary --
 Chapter exercises --
 ch. 2 MATLAB Fundamentals --
 2.1. Variables --
 2.1.1. Case sensitivity --
 2.2. The workspace --
 2.2.1. Adding commonly used constants to the workspace --
 2.3. Arrays: Vectors and matrices --
 2.3.1. Initializing vectors: Explicit lists --
 2.3.2. Initializing vectors: The colon operator --
 2.3.3. The linspace and logspace functions --
 2.3.4. Transposing vectors --
 2.3.5. Subscripts --
 2.3.6. Matrices --
 2.3.7. Capturing output --
 2.3.8. Structure plan --
 2.4. Vertical motion under gravity --
 2.5. Operators, expressions, and statements --
 2.5.1. Numbers --
 2.5.2. Data types --
 2.5.3. Arithmetic operators --
 2.5.4. Operator precedence --
 2.5.5. The colon operator --
 2.5.6. The transpose operator --
 2.5.7. Arithmetic operations on arrays --
 2.5.8. Expressions --
 2.5.9. Statements --
 2.5.10. Statements, commands, and functions --
 2.5.11. Formula vectorization --
 2.6. Output --
 2.6.1. The disp statement --
 2.6.2. The format command --
 2.6.3. Scale factors --
 2.7. Repeating with for --
 2.7.1. Square roots with Newton's method --
 2.7.2. Factorials! --
 2.7.3. Limit of a sequence --
 2.7.4. The basic for construct --
 2.7.5. For in a single line --
 2.7.6. More general for --
 2.7.7. Avoid for loops by vectorizing! --
 2.8. Decisions --
 2.8.1. The one-line if statement --
 2.8.2. The if-else construct --
 2.8.3. The one-line if-else statement --
 2.8.4.elseif --
 2.8.5. Logical operators --
 2.8.6. Multiple ifs versus elseif --
 2.8.7. Nested ifs --
 2.8.8. Vectorizing ifs? --
 2.8.9. The switch statement --
 2.9.Complex numbers --
 Summary --
 Chapter exercises --
 ch. 3 Program Design and Algorithm Development --
 3.1. The program design process --
 3.1.1. The projectile problem --
 3.2. Programming MATLAB functions --
 3.2.1. Inline objects: harmonic oscillators --
 3.2.2. MATLAB function: y = f(x) --
 Summary --
 Chapter exercises --
 ch. 4 MATLAB Functions and Data Import-Export Utilities --
 4.1.Common functions --
 4.2. Importing and exporting data --
 4.2.1. The load and save commands --
 4.2.2. Exporting text (ASCII) data --
 4.2.3. Importing text (ASCII) data --
 4.2.4. Exporting binary data --
 Summary --
 Chapter exercises --
 ch. 5 Logical vectors --
 5.1. Examples --
 5.1.1. Discontinuous graphs --
 5.1.2. Avoiding division by zero --
 5.1.3. Avoiding infinity --
 5.1.4. Counting random numbers --
 5.1.5. Rolling dice --
 5.2. Logical operators --
 5.2.1. Operator precedence --
 5.2.2. Danger --
 5.2.3. Logical operators and vectors --
 5.3. Subscripting with logical vectors --
 5.4. Logical functions --
 5.4.1. Using any and all --
 5.5. Logical vectors instead of elseif ladders --
 Summary --
 Chapter exercises --
 ch. 6 Matrices and Arrays --
 6.1. Matrices --
 6.1.1.A concrete example --
 6.1.2. Creating matrices --
 6.1.3. Subscripts --
 6.1.4. Transpose --
 6.1.5. The colon operator --
 6.1.6. Duplicating rows and columns: tiling --
 6.1.7. Deleting rows and columns --
 6.1.8. Elementary matrices --
 6.1.9. Specialized matrices --
 6.1.10. Using MATLAB functions with matrices --
 6.1.11. Manipulating matrices --
 6.1.12. Array (element-by-element) operations on matrices --
 6.1.13. Matrices and for --
 6.1.14. Visualization of matrices --
 6.1.15. Vectorizing nested fors: loan repayment tables --
 6.1.16. Multi-dimensional arrays --
 6.2. Matrix operations --
 6.2.1. Matrix multiplication --
 6.2.2. Matrix exponentiation --
 6.3. Other matrix functions --
 6.4. Population growth: Leslie matrices --
 6.5. Markov processes --
 6.5.1.A random walk --
 6.6. Linear equations --
 6.6.1. MATLAB's solution --
 6.6.2. The residual --
 6.6.3. Over-determined systems --
 6.6.4. Under-determined systems --
 6.6.5. Ill conditioning --
 6.6.6. Matrix division --
 6.7. Sparse matrices --
 Summary --
 Chapter exercises --
 ch. 7 Function M-files --
 7.1. Example: Newton's method again --
 7.2. Basic rules --
 7.2.1. Subfunctions --
 7.2.2. Private functions --
 7.2.3.P-code files --
 7.2.4. Improving M-file performance with the profiler --
 7.3. Function handles --
 7.4.Command/function duality --
 7.5. Function name resolution --
 7.6. Debugging M-files --
 7.6.1. Debugging a script --
 7.6.2. Debugging a function --
 7.7. Recursion --
 Summary --
 Chapter exercises --
 ch. 8 Loops --
 8.1. Determinate repetition with series for --
 8.1.1. Binomial coefficient --
 8.1.2. Update processes --
 8.1.3. Nested forS --
 8.2. Indeterminate repetition with series while --
 8.2.1.A guessing game --
 8.2.2. The while statement --
 8.2.3. Doubling time of an investment --
 8.2.4. Prime numbers --
 8.2.5. Projectile trajectory --
 8.2.6. Break and continue --
 8.2.7. Menus --
 Summary --
 Chapter exercises --
 ch. 9 MATLAB Graphics --
 9.1. Basic 2-D graphs --
 9.1.1. Labels --
 9.1.2. Multiple plots on the same axes --
 9.1.3. Line styles, markers and color --
 9.1.4. Axis limits --
 9.1.5. Multiple plots in a figure: subplot --
 9.1.6.figure, clf and cla --
 9.1.7. Graphical input --
 9.1.8. Logarithmic plots --
 9.1.9. Polar plots --
 9.1.10. Plotting rapidly changing mathematical functions: fplot --
 9.1.11. The Property Editor --
 9.2.3-D plots --
 9.2.1.plot3 --
 9.2.2. Animated 3-D plots with comet3 --
 9.2.3. Mesh surfaces --
 9.2.4. Contour plots --
 9.2.5. Cropping a surface with NaNs --
 9.2.6. Visualizing vector fields --
 9.2.7. Visualization of matrices --
 9.2.8. Rotation of 3-D graphs --
 9.3. Handle Graphics --
 9.3.1. Getting handles --
 9.3.2. Graphics object properties and how to change them --
 9.3.3.A vector of handles --
 9.3.4. Graphics object creation functions --
 9.3.5. Parenting --
 9.3.6. Positioning figures --
 9.4. Editing plots --
 9.4.1. Plot edit mode --
 9.4.2. Property Editor --
 9.5. Animation --
 9.5.1. Animation with Handle Graphics --
 9.6. Color etc --
 9.6.1. Colormaps --
 9.6.2. Color of surface plots --
 9.6.3. Truecolor --
 9.7. Lighting and camera --
 9.8. Saving, printing and exporting graphs --
 9.8.1. Saving and opening figure files --
 9.8.2. Printing a graph --
 9.8.3. Exporting a graph --
 Summary --
 Chapter exercises --
 ch. 10 Vectors as Arrays and Other Data Structures --
 10.1. Update processes --
 10.1.1. Unit time steps --
 10.1.2. Non-unit time steps --
 10.1.3. Using a function --
 10.1.4. Exact solution --
 10.2. Frequencies, bar charts, and histograms --
 10.2.1.A random walk --
 10.2.2. Histograms --
 10.3. Sorting --
 10.3.1. Bubble sort --
 10.3.2. MATLAB's Sort --
 10.4. Structures --
 10.5. Cell arrays --
 10.5.1. Assigning data to cell arrays --
 10.5.2. Accessing data in cell arrays --
 10.5.3. Using cell arrays --
 10.5.4. Displaying and visualizing cell arrays --
 10.6. Classes and objects --
 Summary --
 ch. 11 Errors and Pitfalls --
 11.1. Syntax errors --
 11.1.1. Incompatible vector sizes --
 11.1.2. Name hiding --
 11.2. Logic errors --
 11.3. Rounding error --
 Summary --
 Chapter exercises --
 pt. 2 Applications --
 ch. 12 Dynamical Systems --
 12.1. Cantilever beam --
 12.2. Electric current --
 12.3. Free fall --
 12.4. Projectile with friction --
 Summary --
 Chapter exercises --
 ch. 13 Simulation --
 13.1. Random number generation --
 13.1.1. Seeding rand --
 13.2. Spinning coins --
 13.3. Rolling dice --
 13.4. Bacteria division --
 13.5.A random walk --
 13.6. Traffic flow --
 13.7. Normal (Gaussian) random numbers --
 Summary --
 Chapter exercises --
 ch. 14 Introduction to Numerical Methods --
 14.1. Equations --
 14.1.1. Newton's method --
 14.1.2. The Bisection method --
 14.1.3.fzero --
 14.1.4.roots --
 14.2. Integration --
 14.2.1. The Trapezoidal rule --
 14.2.2. Simpson's rule --
 14.2.3.quad --
 14.3. Numerical differentiation --
 14.3.1.diff --
 14.4. First-order differential equations --
 14.4.1. Euler's method --
 14.4.2. Example: Bacteria growth --
 14.4.3. Alternative subscript notation --
 14.4.4.A predictor-corrector method --
 14.5. Linear ordinary differential equations (LODEs) --
 14.6. Runge-Kutta methods --
 14.6.1.A single differential equation --
 14.6.2. Systems of differential equations: Chaos --
 14.6.3. Passing additional parameters to an ODE solver --
 14.7.A partial differential equation --
 14.7.1. Heat conduction --
 14.8. Other numerical methods --
 Summary --
 Chapter exercises --
 ch. 15 Signal Processing --
 15.1. Harmonic analysis --
 15.2. Fast Fourier transform (FFT) --
 ch. 16 Simulink® Toolbox --
 16.1. Mass-spring-damper dynamic system --
 16.2. Bouncing ball dynamic system --
 16.3. The van der Pol oscillator --
 16.4. The Duffing oscillator --
 Chapter exercises --
 ch. 17 Symbolics Toolbox --
 17.1. Algebra --
 17.1.1. Polynomials --
 17.1.2. Vectors --
 17.1.3. Matrices --
 17.2. Calculus --
 17.3. Laplace and Z transforms --
 17.4. Generalized Functions* --
 17.5. Differential equations --
 17.6. Implementation of funtool, MuPAD, and help --
 17.6.1. The funtool --
 17.6.2. The mupad Notebook* and Symbolic help --
 Chapter exercises --
 APPENDIX A Syntax Quick Reference --
 A.1. Expressions --
 A.2. Function M-files --
 A.3. Graphics --
 A.4. If and switch --
 A.5. For and while --
 A.6. Input/output --
 A.7.load/save --
 A.8. Vectors and matrices --
 APPENDIX B Command and Function Quick Reference --
 B.1. General purpose commands --
 B.1.1. Managing commands --
 B.1.2. Managing variables and the workspace --
 B.1.3. Files and the operating system --
 B.1.4. Controlling the Command Window --
 B.1.5. Starting and quitting MATLAB --
 B.2. Logical functions --
 B.3. Language constructs and debugging --
 B.3.1. MATLAB as a programming language --
 B.3.2. Interactive input --
 B.4. Matrices and matrix manipulation --
 B.4.1. Elementary matrices --
 B.4.2. Special variables and constants --
 B.4.3. Time and date --
 B.4.4. Matrix manipulation --
 B.4.5. Specialized matrices --
 B.5. Mathematical functions --
 B.6. Matrix functions --
 B.7. Data analysis --
 B.8. Polynomial functions --
 B.9. Function functions.
 Abstract:             
              Suitable for a course on MATLAB or for an engineering problem-solving course using MATLAB, as well as a self-learning tutorial for professionals and students expected to learn and apply MATLAB, this title provides an overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications.                 Read more...