Essential MATLAB for Engineers and Scientists
- 8th Edition - May 7, 2022
- Imprint: Academic Press
- Authors: Daniel T. Valentine, Brian H. Hahn
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 5 4 8 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 5 9 0 - 0
Essential MATLAB for Engineers and Scientists, Eighth Edition provides a concise and balanced overview of MATLAB's functionality, covering both fundamentals and applic… Read more
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Request a sales quoteEssential MATLAB for Engineers and Scientists, Eighth Edition provides a concise and balanced overview of MATLAB's functionality, covering both fundamentals and applications. The essentials are illustrated throughout, featuring complete coverage of the software's windows and menus. Program design and algorithm development are presented, along with many examples from a wide range of familiar scientific and engineering areas. This edition has been updated to include the latest MATLAB versions through 2021a. This is an ideal book for a first course on MATLAB, but is also ideal for an engineering problem-solving course using MATLAB.
- Updated to include all the newer features through MATLAB R2021a
- Provides expanded discussions on using the Live Script editor environment
- Presents a new section on the simple pendulum in Chapter 12, Dynamical Systems
- Includes additional examples on engineering applications
Undergraduates in engineering and science courses that use MATLAB / Any engineer or scientist needing an introduction to MATLAB
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Part 1: Essentials
- Introduction
- Chapter 1: Introduction
- 1.1. Using MATLAB
- 1.2. The desktop
- 1.3. Sample program
- Summary
- Exercises
- Chapter 2: MATLAB® fundamentals
- 2.1. Variables
- 2.2. The workspace
- 2.3. Arrays: vectors and matrices
- 2.4. Vertical motion under gravity
- 2.5. Operators, expressions, and statements
- 2.6. Output
- 2.7. Repeating with for
- 2.8. Decisions
- 2.9. Complex numbers
- Summary
- Exercises
- Chapter 3: Program design and algorithm development
- 3.1. The program design process
- 3.2. Programming MATLAB functions
- Summary
- Exercises
- Chapter 4: MATLAB® functions and data import–export utilities
- 4.1. Common functions
- 4.2. Importing and exporting data
- Summary
- Exercises
- Chapter 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
- Summary
- Exercises
- Chapter 6: Matrices and arrays
- 6.1. Matrices
- 6.2. Matrix operations
- 6.3. Other matrix functions
- 6.4. Population growth: Leslie matrices
- 6.5. Markov processes
- 6.6. Linear equations
- 6.7. Sparse matrices
- Summary
- Exercises
- Chapter 7: Function M-files
- 7.1. Example: Newton's method again
- 7.2. Basic rules
- 7.3. Function handles
- 7.4. Command/function duality
- 7.5. Function name resolution
- 7.6. Debugging M-files
- 7.7. Recursion
- Summary
- Exercises
- Chapter 8: Loops
- 8.1. Determinate repetition with for
- 8.2. Indeterminate repetition with while
- Summary
- Exercises
- Chapter 9: MATLAB® graphics
- 9.1. Basic 2-D graphs
- 9.2. 3-D plots
- 9.3. Handle Graphics
- 9.4. Editing plots
- 9.5. Animation
- 9.6. Color etc.
- 9.7. Lighting and camera
- 9.8. Saving, printing, and exporting graphs
- Summary
- Exercises
- Chapter 10: Vectors as arrays & other data structures
- 10.1. Update processes
- 10.2. Frequencies, bar charts and histograms
- 10.3. Sorting
- 10.4. Structures
- 10.5. Cell arrays
- 10.6. Classes and objects
- Summary
- Chapter 11: Errors & pitfalls
- 11.1. Syntax errors
- 11.2. Logic errors
- 11.3. Rounding error
- Summary
- Chapter exercises
- Part 2: Applications
- Introduction
- Chapter 12: Dynamical systems
- 12.1. Cantilever beam
- 12.2. Electric current
- 12.3. Free fall
- 12.4. Projectile with friction
- Summary
- Exercises
- Chapter 13: Simulation
- 13.1. Random number generation
- 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
- Exercises
- Chapter 14: Introduction to numerical methods
- 14.1. Equations
- 14.2. Integration
- 14.3. Numerical differentiation
- 14.4. First-order differential equations
- 14.5. Ordinary differential equations
- 14.6. Runge-Kutta methods
- 14.7. A partial differential equation
- 14.8. Complex variables and conformal mapping
- 14.9. Other numerical methods
- Summary
- Exercises
- Chapter 15: Signal processing
- 15.1. Harmonic analysis
- 15.2. Fast Fourier Transform (FFT)
- Chapter 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
- Exercises
- Chapter 17: Symbolics toolbox
- 17.1. Algebra
- 17.2. Calculus
- 17.3. Laplace and Z transforms
- 17.4. Generalized functions⁎
- 17.5. Differential equations
- 17.6. Implementation of funtool and Symbolic help
- 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: Operators
- Appendix C: Command and function: quick reference
- C.1. General-purpose commands
- C.2. Logical functions
- C.3. MATLAB programming tools
- C.4. Matrices
- C.5. Mathematical functions
- C.6. Matrix functions
- C.7. Data analysis
- C.8. Polynomial functions
- C.9. Function functions
- C.10. Sparse matrix functions
- C.11. Character string functions
- C.12. File I/O functions
- C.13. 2D graphics
- C.14. 3D graphics
- C.15. General
- Appendix D: Solutions to selected exercises
- Chapter 1
- Chapter 2
- Chapter 3
- Chapter 4
- Chapter 5
- Chapter 6
- Chapter 7
- Chapter 8
- Chapter 9
- Chapter 11
- Chapter 13
- Chapter 14
- Appendix E: Getting started with Live Script
- Index
- Edition: 8
- Published: May 7, 2022
- No. of pages (Paperback): 432
- No. of pages (eBook): 432
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323995481
- eBook ISBN: 9780323995900
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 AfricaRead Essential MATLAB for Engineers and Scientists on ScienceDirect