New
Numerical Methods,
Edition 5 Using MATLABEditors: By George Lindfield and John Penny
Publication Date:
27 Nov 2025
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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 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
- 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
About the author
By George Lindfield, Professor, School of Engineering and Applied Science, Aston University, UK and John Penny, Professor, School of Engineering and Applied Science, Aston University, UK
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
ISBN:
9780443264986
Page Count:
686
Retail Price
:
Upper-level students taking technical courses in which MATLAB is used as the computational tool of choice for solving numerically based problems