Essential MATLAB for Engineers and Scientists
- 3rd Edition - January 29, 2007
- Authors: Daniel T. Valentine, Brian H. Hahn
- Language: English
Essential MATLAB for Engineers and Scientists, Third Edition, is an essential guide to MATLAB as a problem-solving tool. It presents MATLAB both as a mathematical tool and a pro… Read more
Essential MATLAB for Engineers and Scientists, Third Edition, is an essential guide to MATLAB as a problem-solving tool. It presents MATLAB both as a mathematical tool and a programming language, giving a concise and easy-to-master introduction to its potential and power.
Stressing the importance of a structured approach to problem solving, the text provides a step-by-step method for program design and algorithm development. It includes numerous simple exercises for hands-on learning, a chapter on algorithm development and program design, and a concise introduction to useful topics for solving problems in later engineering and science courses: vectors as arrays, arrays of characters, GUIs, advanced graphics, and simulation and numerical methods.
The text is ideal for undergraduates in engineering and science taking a course on Matlab.
- Numerous simple exercises give hands-on learning
- A chapter on algorithm development and program design
- Common errors and pitfalls highlighted
- Concise introduction to useful topics for solving problems in later engineering and science courses: vectors as arrays, arrays of characters, GUIs, advanced graphics, simulation and numerical methods
- A new chapter on dynamical systems shows how a structured approach is used to solve more complex problems.
- Text and graphics in four colour
Undergraduates in engineering and science taking a course on Matlab
Preface to the 3rd edition
PART 1 ESSENTIALS
1. Introduction
1.1 Using MATLAB
1.2 The MATLAB desktop
1.3 Sample program
2. MATLAB Fundamentals
2.1 Variables and the workspace
2.2 Arrays: vectors and matrices
2.3 Vertical motion under gravity
2.4 Operators, expressions and statements
2.5 Output
2.6 Repeating with for
2.7 Decisions
2.8 Complex numbers
2.9 More on input and output
2.10 Odds 'n ends
2.11 Programming style
3. Program Design and Algorithm Development
3.1 Computer program design process
3.2 Other examples of structure plans
3.3 Structured programming with functions
4. MATLAB Functions & Data
4.1 Some common functions
4.2 Importing and exporting data
5. Logical Vectors
5.1 Examples
5.2 Logical operators
5.3 Subscripting with logical vectors
5.4 Logical functions
5.5 Logical vectors instead of elseif ladders
6. Matrices of Numbers & Arrays of Strings
6.1 Matrices
6.2 Matrix operations
6.3 Other matrix functions
6.4 Strings
6.5 Two-dimensional strings
6.6 eval and text macros
7. Introduction to Graphics
7.1 Basic 2-D graphs
7.2 3-D plots
8. Loops
8.1 Determinate repetition with for
8.2 Indeterminate repetition with while
9. Errors and Pitfalls
9.1 Syntax errors
9.2 Pitfalls and Surprises
9.3 Errors in logic
9.4 Rounding error
9.5 Trapping and generating errors
10. Function M-Files
10.1 Some examples
10.2 Basic rules
10.3 Function handles
10.4 Command/function duality
10.5 Function name resolution
10.6 Debugging M-files
10.7 Recursion
11. Vectors as Arrays & *Advanced Data Structures
11.1 Update processes
11.2 Frequencies, bar charts and histograms
11.3 *Sorting
11.4 *Structures
11.5 *Cell arrays
11.6 *Classes and objects
12. More Graphics
12.1 Handle Graphics
12.2 Editing plots
12.3 Animation
12.4 Colour etc
12.5 Lighting and camera
12.6 Saving, printing and exporting graphs
13. Graphical User Interfaces (GUIs)
13.1 Basic structure of a GUI
13.2 A first example: getting the time
13.3 Newton again
13.4 Axes on a GUI
13.5 Adding colour to a button
Part 2 APPLICATIONS
14. Dynamical Systems
14.1 Cantilever beam
14.2 Electric current
14.3 Free fall
14.4 Projectile with friction
15. Simulation
15.1 Random number generation
15.2 Spinning coins
15.3 Rollig dice
15.4 Bacteria division
15.5 A random walk
15.6 Traffic flow
15.7 Normal (Gaussian) random numbers
16. More Matrices
16.1 Leslie matrices: population growth
16.2 Markov processes
16.3 Linear equations
16.4 Sparse matrices
17. Introduction to Numerical Methods
17.1 Equations
17.2 Integration
17.3 Numerical differentiation
17.4 First-order differential equations
17.5 Linear ordinary differential equations (LODEs)
17.6 Runge-Kutta methods
17.7 A partial differential equation
17.8 Other numerical methods
Appendix A: Syntax quick reference
Expressions
Function M-Files
Graphics
if and switch
for and while
Input/output
load/save
Vectors and matrices
Appendix B: Operators
Appendix C: Command and functionquick reference
General purpose commands
Logical functions
Language constructs and debugging
Matrices and matrix manipulation
Mathematical functions
Matrix functions
Data Analysis
Polynomial functions
Function functions
Sparse matrix functions
Character string functions
File I/O functions
Graphics
Appendix D: ASCII Character Codes
Appendix E: Solutions to Selected Exercises
PART 1 ESSENTIALS
1. Introduction
1.1 Using MATLAB
1.2 The MATLAB desktop
1.3 Sample program
2. MATLAB Fundamentals
2.1 Variables and the workspace
2.2 Arrays: vectors and matrices
2.3 Vertical motion under gravity
2.4 Operators, expressions and statements
2.5 Output
2.6 Repeating with for
2.7 Decisions
2.8 Complex numbers
2.9 More on input and output
2.10 Odds 'n ends
2.11 Programming style
3. Program Design and Algorithm Development
3.1 Computer program design process
3.2 Other examples of structure plans
3.3 Structured programming with functions
4. MATLAB Functions & Data
4.1 Some common functions
4.2 Importing and exporting data
5. Logical Vectors
5.1 Examples
5.2 Logical operators
5.3 Subscripting with logical vectors
5.4 Logical functions
5.5 Logical vectors instead of elseif ladders
6. Matrices of Numbers & Arrays of Strings
6.1 Matrices
6.2 Matrix operations
6.3 Other matrix functions
6.4 Strings
6.5 Two-dimensional strings
6.6 eval and text macros
7. Introduction to Graphics
7.1 Basic 2-D graphs
7.2 3-D plots
8. Loops
8.1 Determinate repetition with for
8.2 Indeterminate repetition with while
9. Errors and Pitfalls
9.1 Syntax errors
9.2 Pitfalls and Surprises
9.3 Errors in logic
9.4 Rounding error
9.5 Trapping and generating errors
10. Function M-Files
10.1 Some examples
10.2 Basic rules
10.3 Function handles
10.4 Command/function duality
10.5 Function name resolution
10.6 Debugging M-files
10.7 Recursion
11. Vectors as Arrays & *Advanced Data Structures
11.1 Update processes
11.2 Frequencies, bar charts and histograms
11.3 *Sorting
11.4 *Structures
11.5 *Cell arrays
11.6 *Classes and objects
12. More Graphics
12.1 Handle Graphics
12.2 Editing plots
12.3 Animation
12.4 Colour etc
12.5 Lighting and camera
12.6 Saving, printing and exporting graphs
13. Graphical User Interfaces (GUIs)
13.1 Basic structure of a GUI
13.2 A first example: getting the time
13.3 Newton again
13.4 Axes on a GUI
13.5 Adding colour to a button
Part 2 APPLICATIONS
14. Dynamical Systems
14.1 Cantilever beam
14.2 Electric current
14.3 Free fall
14.4 Projectile with friction
15. Simulation
15.1 Random number generation
15.2 Spinning coins
15.3 Rollig dice
15.4 Bacteria division
15.5 A random walk
15.6 Traffic flow
15.7 Normal (Gaussian) random numbers
16. More Matrices
16.1 Leslie matrices: population growth
16.2 Markov processes
16.3 Linear equations
16.4 Sparse matrices
17. Introduction to Numerical Methods
17.1 Equations
17.2 Integration
17.3 Numerical differentiation
17.4 First-order differential equations
17.5 Linear ordinary differential equations (LODEs)
17.6 Runge-Kutta methods
17.7 A partial differential equation
17.8 Other numerical methods
Appendix A: Syntax quick reference
Expressions
Function M-Files
Graphics
if and switch
for and while
Input/output
load/save
Vectors and matrices
Appendix B: Operators
Appendix C: Command and functionquick reference
General purpose commands
Logical functions
Language constructs and debugging
Matrices and matrix manipulation
Mathematical functions
Matrix functions
Data Analysis
Polynomial functions
Function functions
Sparse matrix functions
Character string functions
File I/O functions
Graphics
Appendix D: ASCII Character Codes
Appendix E: Solutions to Selected Exercises
- Edition: 3
- Published: January 29, 2007
- Language: English
DV
Daniel T. Valentine
Daniel T. Valentine Ph.D. is Professor Emeritus and was Professor and Chair of the Department of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, New York. He was also Affiliate Director of the Clarkson Space Grant Program of the New York NASA Space Grant Consortium, a program that provided support for undergraduate and graduate research. His Ph.D. degree is in fluid Mechanics from the Catholic University of America. His BS and MS degrees in mechanical engineering are from Rutgers University. Dr. Valentine is also co-author of Aerodynamics for Engineering Students (Butterworth Heinemann).
Affiliations and expertise
Professor Emeritus and was Professor and Chair of the Department of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, NY, USABH
Brian H. Hahn
Brian Hahn was a professor in the Department of Mathematics and Applied Mathematics at the University of Cape Town. In his career, Brian wrote more than 10 books for teaching programming languages to beginners.
Affiliations and expertise
Former Professor, Department of Mathematics and Applied Mathematics, University of Cape Town, South Africa