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Engineering Simulation and its Applications

Algorithms and Numerical Methods

  • 1st Edition - February 1, 2024
  • Latest edition
  • Author: Xin-She Yang
  • Language: English

Engineering Simulation and its Applications: Algorithms and Numerical Methods covers the essential quantitative methods needed for engineering simulations, introducing optimizat… Read more

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Description

Engineering Simulation and its Applications: Algorithms and Numerical Methods covers the essential quantitative methods needed for engineering simulations, introducing optimization techniques that can be used in the design of systems to minimize cost and maximize efficiency. This book serves as a reference and textbook for courses such as engineering simulation, design optimization, mathematical modeling, numerical methods, data analysis, and engineering management. Diverse coverage of the various subject areas within the field puts the essential topics into a single book for easy access for graduates and senior undergraduates. It also serves as a reference book for lecturers and industrial practitioners.

Key features

  • Introduces all essential algorithms and numerical methods
  • Balances theory and numerical techniques
  • Provides numerous worked examples

Readership

Undergraduate and graduate students, researchers, engineers, mathematicians, and statisticians working on engineering and computer science

Table of contents

1. Introduction to Engineering Simulation

2. Ordinary Differential Equations

3. Partial Differential Equations

4. Computational Linear Algebra

5. Finite Difference Methods for ODEs

6. Finite Difference Methods for PDEs

7. Finite Volume Method

8. Finite Element Methods

9. Modelling and Simulation by Simulink

10. Optimization in Engineering Applications

11. Linear Programming and its Applications

12. Probability and Distributions

13. Discrete Event Simulation

14. Simulation by Statistical Models

Product details

  • Edition: 1
  • Latest edition
  • Published: February 22, 2024
  • Language: English

About the author

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Xin-She Yang

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader in Modelling and Simulation at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA) and a Book Series Co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 25 books and more than 400 peer-reviewed research publications with over 82000 citations, and he has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years (2016-2022).
Affiliations and expertise
School of Science and Technology, Middlesex University, UK

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