Essential MATLAB for engineers and scientists

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Essential MATLAB for engineers and scientists

Brian D. Hahn and Daniel T. Valentine

Butterworth Heinemann, 2007

3rd ed

  • pbk.

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Includes index

Description and Table of Contents

Description

This is the essential guide to MATLAB as a problem solving tool. This text 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 gives a step-by-step method for program design and algorithm development. The fundamentals of MATLAB are illustrated throughout with many examples from a wide range of familiar scientific and engineering areas, as well as from everyday life. This title features: numerous simple exercises provide hands-on learning of MATLAB's functions; a new chapter on dynamical systems shows how a structured approach is used to solve more complex problems; 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; text and graphics in four colour; and, extensive instructor support. "Essential MATLAB for Engineers and Scientists" is an ideal textbook for a first course on MATLAB or an engineering problem solving course using MATLAB, as well as a self-learning tutorial for students and professionals expected to learn and apply MATLAB for themselves. Additional material is available for lecturers only at companion website for students providing M-files used within the book.

Table of Contents

  • Part 1 Essentials: Introduction
  • MATLAB Fundamentals
  • Program Design & Algorithm Development
  • MATLAB functions
  • Logical Vectors
  • Matrices of Numbers & Arrays of Strings
  • Introduction to Graphics
  • Loops
  • Errors & Pitfalls
  • Function M-Files
  • Vectors as Arrays & Advanced Data Structures
  • More Graphics
  • Graphical User Interfaces
  • Part 2: Applications
  • Dynamical Systems
  • Simulation
  • More Matrices
  • Introduction to Numerical Mathods
  • Appendices
  • Supplements on a website: solutions manual, computer code, sample programs, PowerPoint slides, practice problems.

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