Simulation Driven Modeling Optimization Asdom (19 results)
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Simulation-driven Modeling and Optimization : Asdom, Reykjavik, August 2014
Koziel, Slawomir (EDT); Leifsson, Leifur (EDT); Yang, Xin-She (EDT)
Language: English
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Simulation-driven Modeling and Optimization : Asdom, Reykjavik, August 2013
Koziel, Slawomir (EDT); Leifsson, Leifur (EDT); Yang, Xin-She (EDT)
Language: English
Published by Springer 2016
Series: Springer Proceedings in Mathematics & Statistics, Book 151 of 464. Book 151 of 464 - Springer Proceedings in Mathematics & Statistics
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Simulation-driven Modeling and Optimization : Asdom, Reykjavik, August 2014
Koziel, Slawomir (EDT); Leifsson, Leifur (EDT); Yang, Xin-She (EDT)
Language: English
Published by Springer 2018
Series: Springer Proceedings in Mathematics & Statistics, Book 151 of 464. Book 151 of 464 - Springer Proceedings in Mathematics & Statistics
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Condition: New. pp. 412.
Language: English
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Taschenbuch. Condition: Neu. Simulation-Driven Modeling and Optimization | ASDOM, Reykjavik, August 2014 | Slawomir Koziel (u. a.) | Taschenbuch | Springer Proceedings in Mathematics & Statistics | viii | Englisch | 2018 | Springer | EAN 9783319801599 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17,…69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Palgrave Macmillan 2018
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Condition: Gut. Zustand: Gut | Seiten: 412 | Sprache: Englisch | Produktart: Bücher | This edited volume is devoted to the now-ubiquitous use of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimizatio…n techniques aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical engineering, mechanical and structural engineering, civil engineering, industrial engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean science and climate modeling, and the automotive industry, where design processes are heavily based on CPU-heavy computer simulations. Various techniques, such as knowledge-based optimization, adjoint sensitivity techniques, and fast replacement models (to name just a few) are explored in-depth along withan array of the latest techniques to optimize the efficiency of the simulation-driven design process.High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design process, especially to avoid costly prototyping stages. Despite this and other advantages, the use of simulation tools in the design process is quite challenging due to associated high computational cost. The steady increase of available computational resources does not always translate into the shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. For this reason, automated simulation-driven design¿while highly desirable¿is difficult when using conventional numerical optimization routines which normally require a large number of system simulations, each one already expensive.
Language: English
Published by Springer International Publishing, Springer International Publishing 2018
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited volume is devoted to the now-ubiquitoususe of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimization tec…hniques aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical engineering, mechanical and structural engineering, civil engineering, industrial engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean science and climate modeling, and the automotive industry, where design processes are heavily based on CPU-heavy computer simulations.Various techniques, such asknowledge-based optimization,adjoint sensitivity techniques, andfast replacement models (to name just a few) are explored in-depth along withan array of the latest techniques to optimize the efficiency of the simulation-driven design process.High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design process, especially to avoid costly prototyping stages. Despite this and other advantages, the use of simulation tools in the design process is quite challenging due to associated high computational cost. The steady increase of available computational resources does not always translate into the shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. For this reason, automated simulation-driven design-while highly desirable-is difficult when using conventional numerical optimization routines which normally require a large number of system simulations, each one already expensive.
Language: English
Published by Springer International Publishing 2016
Series: Springer Proceedings in Mathematics & Statistics, Book 151 of 464. Book 151 of 464 - Springer Proceedings in Mathematics & Statistics
- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited volume is devoted to the now-ubiquitoususe of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimization techniques… aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical engineering, mechanical and structural engineering, civil engineering, industrial engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean science and climate modeling, and the automotive industry, where design processes are heavily based on CPU-heavy computer simulations.Various techniques, such asknowledge-based optimization,adjoint sensitivity techniques, andfast replacement models (to name just a few) are explored in-depth along withan array of the latest techniques to optimize the efficiency of the simulation-driven design process.High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design process, especially to avoid costly prototyping stages. Despite this and other advantages, the use of simulation tools in the design process is quite challenging due to associated high computational cost. The steady increase of available computational resources does not always translate into the shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. For this reason, automated simulation-driven design-while highly desirable-is difficult when using conventional numerical optimization routines which normally require a large number of system simulations, each one already expensive.
Simulation-driven Modeling and Optimization: Asdom, Reykjavik, August 2013
Koziel, Slawomir (Editor)/ Leifsson, Leifur (Editor)/ Yang, Xin-she (Editor)
Language: English
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Simulation-driven Modeling and Optimization : Asdom, Reykjavik, August 2013
Koziel, Slawomir (EDT); Leifsson, Leifur (EDT); Yang, Xin-She (EDT)
Language: English
Published by Springer 2016
Series: Springer Proceedings in Mathematics & Statistics, Book 151 of 464. Book 151 of 464 - Springer Proceedings in Mathematics & Statistics
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