Essential MATLAB for Engineers and Scientists - 6th Edition - ISBN: 9780081008775, 9780128052716

Essential MATLAB for Engineers and Scientists

6th Edition

Authors: Brian Hahn Daniel Valentine
eBook ISBN: 9780128052716
Paperback ISBN: 9780081008775
Imprint: Academic Press
Published Date: 19th September 2016
Page Count: 428
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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

Details

No. of pages:
428
Language:
English
Copyright:
© Academic Press 2017
Published:
Imprint:
Academic Press
eBook ISBN:
9780128052716
Paperback ISBN:
9780081008775

About the Author

Brian Hahn

Affiliations and Expertise

Department of Mathematics and Applied Mathematics, University of Cape Town, South Africa

Daniel Valentine

Daniel Valentine is a Professor of Mechanical and Aeronautical Engineering at Clarkson University and Affiliate Director of the Clarkson Space Grant Program which is part of the New York NASA Space Grant Consortium. This program has provided support for undergraduate research appointments, and for graduate students. He is currently investigating the nonlinear dynamics of two-dimensional, Navier-Stokes flows as part of his work on the development of computational methods to solve fluid dynamics problems. He is also working on the flow-structure interaction of long-span bridges, unsteady hydrodynamics and offshore renewable energy. Other activities include investigations to develop a computational method to predict the effect of a marine propulsor on wave resistance of ships, to examine the effect of density stratification on rotating flows, to develop computational tools to predict the time-averaged properties of high-Reynolds number flows among other fluid mechanics problems.

Affiliations and Expertise

Dept of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, NY, USA