Analysis of stochastic errors and Gaussianity of random vector process simulated by dimension-reduction representation method

DOI10.1016/J.APM.2022.04.028zbMath1505.60085OpenAlexW4229014869WikidataQ114208648 ScholiaQ114208648MaRDI QIDQ2109701

Juncheng Wang, Houle Zhang, Yong-xin Wu

Publication date: 21 December 2022

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2022.04.028

zbMATH Keywords

dimension reductionspectral representationstochastic errorrandom vector process

Mathematics Subject Classification ID

Stationary stochastic processes (60G10) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)

Cites Work

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• Numerical comparisons of high-order nonlinear solvers for the transient Navier-Stokes equations based on homotopy and perturbation techniques
• The probability density evolution method for dynamic response analysis of non-linear stochastic structures
• Mathematical Analysis of Random Noise
• Stochastic Dynamics of Structures

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