Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling

This book PDF is perfect for those who love Technology & Engineering genre, written by José Eduardo Souza De Cursi and published by Springer Nature which was released on 19 August 2020 with total hardcover pages 472. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling books below.

Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling
Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling
Author : José Eduardo Souza De Cursi
File Size : 43,8 Mb
Publisher : Springer Nature
Language : English
Release Date : 19 August 2020
ISBN : 9783030536695
Pages : 472 pages
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Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling by José Eduardo Souza De Cursi Book PDF Summary

This proceedings book discusses state-of-the-art research on uncertainty quantification in mechanical engineering, including statistical data concerning the entries and parameters of a system to produce statistical data on the outputs of the system. It is based on papers presented at Uncertainties 2020, a workshop organized on behalf of the Scientific Committee on Uncertainty in Mechanics (Mécanique et Incertain) of the AFM (French Society of Mechanical Sciences), the Scientific Committee on Stochastic Modeling and Uncertainty Quantification of the ABCM (Brazilian Society of Mechanical Sciences) and the SBMAC (Brazilian Society of Applied Mathematics).

Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling

Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling by José Eduardo Souza De Cursi

This proceedings book discusses state-of-the-art research on uncertainty quantification in mechanical engineering, including statistical data concerning the entries and parameters of a system to produce statistical data on the outputs of the system. It is based on papers presented at Uncertainties 2020, a workshop organized on behalf of the Scientific Committee

Get Book
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