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Probabilistic collocation method for strongly nonlinear problems: 3. Transform by time
16 references·8 citing·29 second hop
Probabilistic collocation method for strongly nonlinear problems: 3. 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References

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  • 1997An efficient method for parametric uncertainty analysis of numerical geophysical models

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334 cited
  • 2007Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods253 cited
  • 2008The multi-element probabilistic collocation method (ME-PCM): Error analysis and applications214 cited
  • Cited by

    • 2017Efficient evaluation of small failure probability in high‐dimensional groundwater contaminant transport modeling via a two‐stage M onte C arlo method34 cited
    • 2017Sparse regression Chebyshev polynomial interval method for nonlinear dynamic systems under uncertainty30 cited
    • 2017Incomplete statistical information limits the utility of high-order polynomial chaos expansions30 cited
    • 2016A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media22 cited
    • 2017Uncertainty Quantification of geochemical and mechanical compaction in layered sedimentary basins22 cited
    • 2014Probabilistic collocation method for strongly nonlinear problems: 2. Transform by displacement17 cited
    • 2018Uncertainty Quantification for Subsurface Flow and Transport: Coping With Nonlinearity/Irregularity via Polynomial Chaos Surrogate and Machine Learning15 cited
    • 2015Constrained probabilistic collocation method for uncertainty quantification of geophysical models15 cited