Essential MATLAB for Engineers and Scientists

5th Edition

Authors: Brian Hahn Daniel Valentine
Paperback ISBN: 9780123943989
eBook ISBN: 9780123946133
Imprint: Academic Press
Published Date: 10th January 2013
Page Count: 424
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The fifth edition of Essential MATLAB for Engineers and Scientists 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 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 with the features of MATLAB R2012b
  • Expanded discussion of writing functions and scripts
  • Revised and expanded Part II: Applications
  • Expanded section on GUIs
  • More exercises and examples throughout


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
  • Part I. Essentials
    • Chapter 1. Introduction
      • 1.1 Using MATLAB
      • 1.2 The desktop
      • 1.3 Sample program

    • 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
      • Chapter exercises

    • Chapter 3. Program Design and Algorithm Development
      • 3.1 The program design process
      • 3.2 Programming MATLAB functions
      • Summary
      • Chapter exercises

    • Chapter 4. MATLAB Functions and Data Import-Export Utilities
      • 4.1 Common functions
      • 4.2 Importing and exporting data
      • Summary
      • Chapter 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
      • Chapter 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
      • Chapter 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
      • Chapter exercises

    • Chapter 8. Loops
      • 8.1 Determinate repetition


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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