Engineering simulation is an essential skill for engineers, with applications in business management and engineering design. Using a simulation to study the behavior and characteristics of a model allows the engineer to make reliable predictions of the behavior of a project in real life. Such models require sophisticated numerical techniques and simulation tools, which are difficult to learn, understand, and apply. ?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 modelling, numerical methods, data analysis, engineering management. The diverse coverage of the various subject areas within the field means Engineering Simulation and its Applications 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.
1. Chapter One. Introduction to engineering simulation - p. 1 2. Chapter Two. Ordinary differential equations - p. 15 3. Chapter Three. Partial differential equations - p. 29 4. Chapter Four. Computational linear algebra - p. 43 5. Chapter Five. Finite difference methods for ODEs - p. 67 6. Chapter Six. Finite difference methods for PDEs - p. 81 7. Chapter Seven. Finite volume method - p. 93 8. Chapter Eight. Finite element methods - p. 99 9. Chapter Nine. Modeling and simulation by Simulink® - p. 117 10. Chapter Ten. Optimization in engineering applications - p. 127 11. Chapter Eleven. Linear programming and its applications - p. 143 12. Chapter Twelve. Probability and distributions - p. 173 13. Chapter Thirteen. Discrete event simulation - p. 187 14. Chapter Fourteen. Simulation by statistical models - p. 197 15. Bibliography - p. 213 16. Index - p. 217
Engineering simulation is an essential skill for engineers, with applications in business management and engineering design. Using a simulation to study the behavior and characteristics of a model allows the engineer to make reliable predictions of the behavior of a project in real life. Such models require sophisticated numerical techniques and simulation tools, which are difficult to learn, understand, and apply. ?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 modelling, numerical methods, data analysis, engineering management. The diverse coverage of the various subject areas within the field means Engineering Simulation and its Applications 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.
1. Chapter One. Introduction to engineering simulation - p. 1 2. Chapter Two. Ordinary differential equations - p. 15 3. Chapter Three. Partial differential equations - p. 29 4. Chapter Four. Computational linear algebra - p. 43 5. Chapter Five. Finite difference methods for ODEs - p. 67 6. Chapter Six. Finite difference methods for PDEs - p. 81 7. Chapter Seven. Finite volume method - p. 93 8. Chapter Eight. Finite element methods - p. 99 9. Chapter Nine. Modeling and simulation by Simulink® - p. 117 10. Chapter Ten. Optimization in engineering applications - p. 127 11. Chapter Eleven. Linear programming and its applications - p. 143 12. Chapter Twelve. Probability and distributions - p. 173 13. Chapter Thirteen. Discrete event simulation - p. 187 14. Chapter Fourteen. Simulation by statistical models - p. 197 15. Bibliography - p. 213 16. Index - p. 217
