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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.
List 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
About the author
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).
