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Numerical Methods cover

Numerical Methods

Using MATLAB

by George Lindfield, John Penny

5th Edition

Publisher: Academic Press

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Book Details

Print ISBN9780443264986
eText ISBN9780443264993
PublisherAcademic Press
Publishing Year2025
Edition5th Edition
LanguageEnglish
Pages686

Numerical Methods: Using MATLAB, 5th Edition, written by George Lindfield and John Penny, is a 2025 textbook published by Academic Press that pairs numerical analysis with MATLAB programming to clarify complex quantitative problems. The volume is prepared for upper-level students in technical courses who rely on MATLAB as their main computational tool for solving analytical tasks.

The content structures essential mathematical topics into logical learning stages. Early chapters present introductory MATLAB features, matrix algebra, systems of linear equations, eigensystems, and root finding for nonlinear equations. The narrative then expands into numerical differentiation, integration techniques, ordinary and partial differential equations, and data analysis through discrete transforms.

To assist with code execution and practical implementation, the text incorporates over 60 algorithms formatted as MATLAB functions along with more than 100 working scripts. Concluding chapters address advanced computational topics such as optimization methods, machine learning algorithms, and Symbolic Toolbox applications, supporting researchers analyzing numerical outcomes and working professionals across engineering, science, and economics.

Table of Contents

  1. Chapter 1: An introduction to Matlab®

  2. Chapter 2: Linear equations and eigensystems

  3. Chapter 3: Solution of nonlinear equations

  4. Chapter 4: Differentiation and integration

  5. Chapter 5: Solution of ordinary differential equations

  6. Chapter 6: Solution of partial differential equations

  7. Chapter 7: Analyzing data

  8. Chapter 8: Analyzing data using discrete transforms

  9. Chapter 9: Optimization methods

  10. Chapter 10: Machine learning

  11. Chapter 11: Applications of the Symbolic Toolbox

  12. Chapter Appendix A: Matrix algebra

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