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Elsevier

Numerical Methods

Using MATLAB

The fourth edition of Numerical Methods Using MATLAB® provides a clear and rigorous introduction to a wide range of numerical methods that have practical applications. The autho… Read more

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Description

The fourth edition of Numerical Methods Using MATLAB® provides a clear and rigorous introduction to a wide range of numerical methods that have practical applications. The authors’ approach is to integrate MATLAB® with numerical analysis in a way which adds clarity to the numerical analysis and develops familiarity with MATLAB®. MATLAB® graphics and numerical output are used extensively to clarify complex problems and give a deeper understanding of their nature.

The text provides an extensive reference providing numerous useful and important numerical algorithms that are implemented in MATLAB® to help researchers analyze a particular outcome. By using MATLAB® it is possible for the readers to tackle some large and difficult problems and deepen and consolidate their understanding of problem solving using numerical methods. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization and many other fields. The text will be a valuable aid to people working in a wide range of fields, such as engineering, science and economics.

Key features

  • Features many numerical algorithms, their fundamental principles, and applications
  • Includes new sections introducing Simulink, Kalman Filter, Discrete Transforms and Wavelet Analysis
  • Contains some new problems and examples
  • Is user-friendly and is written in a conversational and approachable style
  • Contains over 60 algorithms implemented as MATLAB® functions, and over 100 MATLAB® scripts applying numerical algorithms to specific examples

Readership

Upper level students taking technical courses in which MATLAB is used as the computational tool of choice for solving numerically-based problems; professionals in engineering, bioengineering, and computer science fields and scientists needing user-friendly text to solve specific problems in numerical analysis

Table of contents

1. An Introduction to Matlab2. Linear Equations and Eigensystems3. Solution of Nonlinear Equations4. Differentiation and Integration5. Solution of Differential Equations6. Boundary Value Problems7. Analyzing Data8. Analyzing Data using Discrete Transforms9. Optimization Methods10. Applications of the Symbolic Toolbox

Product details

About the authors

GL

George Lindfield

George Lindfield is a former lecturer in Mathematics and Computing at the School of Engineering and Applied Science, Aston University in the United Kingdom.
Affiliations and expertise
Professor, School of Engineering and Applied Science, Aston University, UK

JP

John Penny

John Penny is an Emeritus Professor of Mechanical Engineering at the School of Engineering and Applied Science, Aston University in the United Kingdom.
Affiliations and expertise
Professor, School of Engineering and Applied Science, Aston University, UK

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