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Coupled Systems: Theory, Models, and Applications in Engineering: 22 (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series) - Softcover
Synopsis
Efficient Methods to Solve Complex Coupled Systems
Coupled Systems: Theory, Models, and Applications in Engineering explains how to solve complicated coupled models in engineering using analytical and numerical methods. It presents splitting multiscale methods to solve multiscale and multiphysics problems and describes analytical and numerical methods in time and space for evolution equations arising in engineering problems.
The book discusses the effectiveness, simplicity, stability, and consistency of the methods in solving problems that occur in real-life engineering tasks. It shows how MATLAB® and Simulink® are used to implement the methods. The author also covers the coupling of separate, multiple, and logical scales in applications, including microscale, macroscale, multiscale, and multiphysics problems.
Covering mathematical, algorithmic, and practical aspects, this book brings together innovative ideas in coupled systems and extends standard engineering tools to coupled models in materials and flow problems with respect to their scale dependencies and their influence on each time and spatial scale.
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About the Author
Geiser, Juergen
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Coupled Systems: Theory, Models, and Applications in Engineering
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Taylor & Francis Ltd, 2019
ISBN 10: 0367378868
ISBN 13: 9780367378868
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Coupled Systems: Theory, Models, and Applications in Engineering
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Geiser, J: Coupled Systems
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Geiser, JuergenEfficient Methods to Solve Complex Coupled SystemsCoupled Systems: Theory, Models, and Applications in Engineering explains how to solve complicated coupled models in engineering using analyt. Seller Inventory # 594577570
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Coupled Systems: Theory, Models, and Applicatrion in Engineering
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Coupled Systems: Theory, Models, and Applications in Engineering (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)
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