The a posteriori finite element method (APFEM), a framework for efficient parametric study and Bayesian inferences
Stochastic methods have recently been the subject of increased attention in Computational Mechanics for their ability to account for the stochasticity of both material parameters and geometrical features in their predictions. Among them, the Galerkin Stochastic Finite Element Method (GSFEM) was show...
| Автори: | , |
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| Формат: | Journal article |
| Мова: | English |
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Elsevier
2023
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