Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, the third volume of eight from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on:
Inverse Problems and Uncertainty Quantification
Controlling UncertaintyValidation of Models for Operating Environments
Model Validation & Uncertainty Quantification: Decision Making
Uncertainty Quantification in Structural Dynamics
Uncertainty in Early Stage Design
Computational and Uncertainty Quantification Tools
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
R. Barthorpe, is a Professor with the University of Sheffield, Sheffield, UK.
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, the third volume of eight from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on:
Inverse Problems and Uncertainty Quantification
Controlling Uncertainty
Validation of Models for Operating Environments
Model Validation & Uncertainty Quantification: Decision Making
Uncertainty Quantification in Structural Dynamics
Uncertainty in Early Stage Design
Computational and Uncertainty Quantification Tools„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, the third volume of eight from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on:Inverse Problems and Uncertainty QuantificationControlling UncertaintyValidation of Models for Operating EnvironmentsModel Validation & Uncertainty Quantification: Decision MakingUncertainty Quantification in Structural DynamicsUncertainty in Early Stage DesignComputational and Uncertainty Quantification Tools. Artikel-Nr. 9783030120740
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