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    Engineering Simulation and its Applications

Engineering Simulation and its Applications

Xin-She Yang
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      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.
      Format: CONTRIBUTORS: Xin-She Yang EAN: 9780443140846 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 0 cm
      PUBLISHED BY: Elsevier Science Publishing Co Inc DATE PUBLISHED: 2024-04-01 CITY: GENRE: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition WIDTH: 0 cm SPINE:

      Book Themes:

      Pattern recognition, Computer vision

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      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).
      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.
      Format: CONTRIBUTORS: Xin-She Yang EAN: 9780443140846 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 0 cm
      PUBLISHED BY: Elsevier Science Publishing Co Inc DATE PUBLISHED: 2024-04-01 CITY: GENRE: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition WIDTH: 0 cm SPINE:

      Book Themes:

      Pattern recognition, Computer vision

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      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).

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