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New formulation of Cholesky decomposition and applications in stochastic simulation · Study

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ArticleNew formulation of Cholesky decomposition and applications in stochastic simulation

Guoqing Huang2013

Article2013

New formulation of Cholesky decomposition and applications in stochastic simulation

Guoqing Huang · Haili Liao · Mingshui Li

106 citations·0/0 files stored·Probabilistic Engineering Mechanics

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Probabilistic and Robust Engineering Design Matrix Theory and Algorithms Structural Health Monitoring Techniques

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References

1972Digital simulation of random processes and its applications 1991Simulation of Stochastic Processes by Spectral Representation 1996Simulation of Ergodic Multivariate Stochastic Processes 2001Convergence study of the truncated Karhunen–Loeve expansion for simulation of stochastic processes 2002Simulation of second-order processes using Karhunen–Loeve expansion 2005Simulation of strongly non-Gaussian processes using Karhunen–Loeve expansion 1998Monte Carlo Treatment of Random Fields: A Broad Perspective

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2017Simulation of Multivariate Nonstationary Random Processes: Hybrid Stochastic Wave and Proper Orthogonal Decomposition Approach 2018Random function representation of stationary stochastic vector processes for probability density evolution analysis of wind-induced structures 2014An efficient simulation approach for multivariate nonstationary process: Hybrid of wavelet and spectral representation method 2021Simulation of ergodic multivariate stochastic processes: An enhanced spectral representation method 2022Simulating multivariate stationary non-Gaussian process based on wavenumber–frequency spectrum and unified Hermite polynomial model

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Details

Year2013

Typearticle

Published2013-05-15

VenueProbabilistic Engineering Mechanics

ISSN-L0266-8920

Languageen

Citations106

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.probengmech.2013.04.003

openalex_workW2019199277

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