Uncertainty Quantification of Dynamical Systems and Stochastic Symplectic Schemes

Uncertainty Quantification of Dynamical Systems and Stochastic Symplectic Schemes
Author: Jian Deng
Publisher:
Total Pages:
Release: 2013
Genre:
ISBN:

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Uncertainty Quantification of Dynamical Systems and Stochastic Symplectic Schemes
Language: en
Pages:
Authors: Jian Deng
Categories:
Type: BOOK - Published: 2013 - Publisher:

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Stochastic Systems
Language: en
Pages: 534
Authors: Mircea Grigoriu
Categories: Technology & Engineering
Type: BOOK - Published: 2012-05-15 - Publisher: Springer Science & Business Media

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Uncertainty is an inherent feature of both properties of physical systems and the inputs to these systems that needs to be quantified for cost effective and rel
Uncertainty Quantification and Prediction for Non-autonomous Linear and Nonlinear Systems
Language: en
Pages: 197
Authors: Akash Phadnis
Categories:
Type: BOOK - Published: 2013 - Publisher:

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The science of uncertainty quantification has gained a lot of attention over recent years. This is because models of real processes always contain some elements
Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling
Language: en
Pages: 472
Authors: José Eduardo Souza De Cursi
Categories: Technology & Engineering
Type: BOOK - Published: 2020-08-19 - Publisher: Springer Nature

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This proceedings book discusses state-of-the-art research on uncertainty quantification in mechanical engineering, including statistical data concerning the ent
Symplectic Integration of Stochastic Hamiltonian Systems
Language: en
Pages: 307
Authors: Jialin Hong
Categories: Mathematics
Type: BOOK - Published: 2023-02-21 - Publisher: Springer Nature

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This book provides an accessible overview concerning the stochastic numerical methods inheriting long-time dynamical behaviours of finite and infinite-dimension