Essential MATLAB for Engineers and Scientists
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Essential MATLAB for Engineers and Scientists

6th Edition - September 1, 2016

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  • Authors: Daniel Valentine, Brian Hahn
  • eBook ISBN: 9780128052716

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Description

Essential MATLAB for Engineers and Scientists, Sixth Edition, provides a concise, balanced overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications. The essentials of MATLAB are illustrated throughout, featuring complete coverage of the software's windows and menus. Program design and algorithm development are presented clearly and intuitively, along with many examples from a wide range of familiar scientific and engineering areas. This updated edition includes the latest MATLAB versions through 2016a, and is an ideal book for a first 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.

Key Features

  • Updated to include all the newer features through MATLAB R2016a
  • Includes new chapter on complex variables analysis
  • Presents a comparison of execution time between compiled and un-compiled code that includes examples
  • Describes the new H2 graphics features

Readership

First time users of MATLAB. Undergraduates in engineering and science courses that use MATLAB. Any engineer or scientist needing an introduction to MATLAB

Table of Contents

    • Preface
      • Acknowledgments
    • Part 1: Essentials
      • Introduction
      • Chapter 1: Introduction
        • Abstract
        • 1.1. Using MATLAB
        • 1.2. The desktop
        • 1.3. Sample program
        • Summary
        • Exercises
        • Appendix 1.A. Supplementary material
      • Chapter 2: MATLAB Fundamentals
        • Abstract
        • 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
        • Appendix 2.A. Supplementary material
      • Chapter 3: Program Design and Algorithm Development
        • Abstract
        • 3.1. The program design process
        • 3.2. Programming MATLAB functions
        • Summary
        • Exercise
      • Chapter 4: MATLAB Functions and Data Import-Export Utilities
        • Abstract
        • 4.1. Common functions
        • 4.2. Importing and exporting data
        • Summary
        • Exercises
      • Chapter 5: Logical Vectors
        • Abstract
        • 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
        • Appendix 5.A. Supplementary material
      • Chapter 6: Matrices and Arrays
        • Abstract
        • 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
        • Abstract
        • 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
        • Appendix 7.A. Supplementary material
      • Chapter 8: Loops
        • Abstract
        • 8.1. Determinate repetition with for
        • 8.2. Indeterminate repetition with while
        • Summary
        • Exercises
      • Chapter 9: MATLAB Graphics
        • Abstract
        • 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 and Other Data Structures
        • Abstract
        • 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 and Pitfalls
        • Abstract
        • 11.1. Syntax errors
        • 11.2. Logic errors
        • 11.3. Rounding error
        • Summary
        • Chapter exercises
    • Part 2: Applications
      • Introduction
      • Chapter 12: Dynamical Systems
        • Abstract
        • 12.1. Cantilever beam
        • 12.2. Electric current
        • 12.3. Free fall
        • 12.4. Projectile with friction
        • Summary
        • Exercises
      • Chapter 13: Simulation
        • Abstract
        • 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
        • Abstract
        • 14.1. Equations
        • 14.2. Integration
        • 14.3. Numerical differentiation
        • 14.4. First-order differential equations
        • 14.5. Linear ordinary differential equations (LODEs)
        • 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
        • Abstract
        • 15.1. Harmonic analysis
        • 15.2. Fast Fourier Transform (FFT)
      • Chapter 16: SIMULINK
        • Abstract
        • 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
        • Appendix 16.A. Supplementary material
      • Chapter 17: Symbolics Toolbox
        • Abstract
        • 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, MuPAD and 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
    • Index

Product details

  • No. of pages: 428
  • Language: English
  • Copyright: © Academic Press 2016
  • Published: September 1, 2016
  • Imprint: Academic Press
  • eBook ISBN: 9780128052716

About the Authors

Daniel 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, USA

Brian 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

Ratings and Reviews

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  • CalebGarcia Tue Oct 29 2019

    Everything I need in pdf

    Everything I need in pdf form. I'm able to pull it up quickly from my laptop and it is very easy to navigate.

  • Viviana F. Wed Feb 21 2018

    A classic

    This is an excellent textbook to learn the basics of MATLAB in addition to more advanced material. The authors have assembled many useful examples and exercises left to the reader. I strongly recommend this textbook for beginners and those who need to review MATLAB essentials.