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
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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 ToolsLe informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Buch. Condizione: Neu. Neuware -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 ToolsSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch. Codice articolo 9783030120740
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