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.
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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
