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Computational nonlinear stochastic homogenization using a non-concurrent mult...
We present an analysis of the effects of stochastic dimension on a solver based on a tensorial product decomposition for studying propagation of uncertainties in... -
Numerical analysis of partial differential equations with random coefficients...
This work presents some results about probabilistic and deterministic numerical methods for partial differential equations with stochastic coefficients, with... -
Identification of polynomial chaos representations in high dimension from a s...
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Strong and Weak Error Estimates for Elliptic Partial Differential Equations w...
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Nonlinear Filtering with Transfer Operator
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Robust updating of uncertain computational models using experimental modal an...
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Multiscale method and model reduction for the propagation of localized uncert...
In many physical problems, an uncertain model can be represented as a set of stochastic partial differential equations. We are here interested in problems with many... -
Stochastic reduced order computational model of structures having numerous lo...
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Nonparametric stochastic modeling of structures with uncertain boundary condi...
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Karhunen-Loeve expansion revisited for vector-valued random fields: scaling, ...
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Bayesian posteriors of uncertainty quantification in computational structural...
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Reduced-order model in structural dynamics for high-modal density in the LF r...
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A coupling method for stochastic continuum models at different scales
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Generation of non-Gaussian tensor-valued random fields using an ISDE-based al...
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Stability and response analysis of a pipe with internal flow analyzed with an...
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Computational nonlinear stochastic dynamics with model uncertainties and nons...
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Statistical inverse problems for non-Gaussian vector valued random fields wit...
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Uncertainty quantification in low-frequency dynamics of complex beam-like str...
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Uncertainty Quantification in Computational Electromagnetics: The stochastic ...
Models in electromagnetism are more and more accurate. In some applications, the gap between the experience and the model comes from the deviation on input data of the... -
Uncertainty quantification of voice signal production mechanical model and ex...
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