Engineering Simulation and its Applications
Algorithms and Numerical Methods
Published on 1. February 2024
200 pages
978-0-443-14085-3 (ISBN)
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.
- Introduces all essential algorithms and numerical methods
- Balances theory and numerical techniques
- Provides numerous worked examples
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Book
02/2024
Academic Press
€165.89
Shipment within 15-20 days
Person
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).
Content
1. Introduction to Engineering Simulation2. Ordinary Differential Equations3. Partial Differential Equations4. Computational Linear Algebra5. Finite Difference Methods for ODEs6. Finite Difference Methods for PDEs7. Finite Volume Method8. Finite Element Methods9. Modelling and Simulation by Simulink10. Optimization in Engineering Applications11. Linear Programming and its Applications12. Probability and Distributions13. Discrete Event Simulation14. Simulation by Statistical Models
