\u003cp\u003eEngineering 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. \u003ci\u003e?Engineering Simulation and its Applications: Algorithms and Numerical Methods\u003c/i\u003e 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 \u003ci\u003eEngineering Simulation and its Applications\u003c/i\u003e 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.\u003c/p\u003e\u003cul\u003e\u003cli\u003eIntroduces all essential algorithms and numerical methods\u003c/li\u003e\u003cli\u003eBalances theory and numerical techniques\u003c/li\u003e\u003cli\u003eProvides numerous worked examples\u003c/li\u003e\u003c/ul\u003e
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