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Numerical Methods Using MATLAB

By: Contributor(s): Material type: TextTextLanguage: English Publication details: London : Academic Press, c2019Edition: 4thDescription: XXV, 582 p. : illISBN:
  • 9780128122563
Subject(s): DDC classification:
  • 518.0285 LIN
Online resources: Summary: summary: 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
Holdings
Item type Current library Collection Shelving location Call number Copy number Status Date due Barcode
Reference Collection Reference Collection LEJ Campus Library Department of Bio-Medical Engineering LEJ Campus 518.0285 LIN 2022-23 Available 97872
Reference Collection Reference Collection LEJ Campus Library Department of Bio-Medical Engineering LEJ Campus 518.0285 LIN 2022-23 Available 97873

Authors
George Lindfield

Aston University, School of Engineering and Applied Science, Birmingham, England, United Kingdom
John Penny

Aston University, School of Engineering and Applied Science, Birmingham, England, United Kingdom

summary:
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