
Numerical Methods
Using MATLAB
- 5th Edition - September 1, 2025
- Imprint: Academic Press
- Authors: George Lindfield, John Penny
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 6 4 9 8 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 6 4 9 9 - 3
Numerical Methods Using MATLAB®, Fifth Edition continues to provide a clear and rigorous introduction to a wide range of numerical methods that have practical applications. The au… Read more

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Request a sales quoteNumerical Methods Using MATLAB®, Fifth Edition continues to provide 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.
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.
- Features many numerical algorithms, their fundamental principles, and applications
- Provides a user-friendly resource that 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
- Includes a solutions manual and image bank for instructors and downloadable versions of all MATLAB file scripts and functions listed in the text
Upper-level students taking technical courses in which MATLAB is used as the computational tool of choice for solving numerically based problems
1. An Introduction to Matlab
2. Linear Equations and Eigensystems
3. Solution of Nonlinear Equations
4. Differentiation and Integration
5. Ordinary Differential Equations
6. Partial Differential Equations
7. Interpolation and Least Squares Approximation
8. Analyzing Data using Discrete Transforms
9. Optimization Methods
10. Machine Learning
11. Applications of the Symbolic Toolbox
2. Linear Equations and Eigensystems
3. Solution of Nonlinear Equations
4. Differentiation and Integration
5. Ordinary Differential Equations
6. Partial Differential Equations
7. Interpolation and Least Squares Approximation
8. Analyzing Data using Discrete Transforms
9. Optimization Methods
10. Machine Learning
11. Applications of the Symbolic Toolbox
- Edition: 5
- Published: September 1, 2025
- Imprint: Academic Press
- No. of pages: 640
- Language: English
- Paperback ISBN: 9780443264986
- eBook ISBN: 9780443264993
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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, UKJP
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