Pages that link to "Item:Q3611573"

The following pages link to Stochastic finite element: a non intrusive approach by regression (Q3611573):

Displaying 50 items.

• Efficient uncertainty quantification of CFD problems by combination of proper orthogonal decomposition and compressed sensing (Q2243373) (← links)
• Prediction of the dynamic behavior of an uncertain friction system coupled to nonlinear energy sinks using a multi-element generalized polynomial chaos approach (Q2301782) (← links)
• A stochastic scaled boundary finite element method (Q2308583) (← links)
• Condensed SFEs for nonlinear mechanical problems (Q2308635) (← links)
• Hybrid uncertainty propagation in structural-acoustic systems based on the polynomial chaos expansion and dimension-wise analysis (Q2309840) (← links)
• A new non-intrusive polynomial chaos using higher order sensitivities (Q2310152) (← links)
• Least squares polynomial chaos expansion: a review of sampling strategies (Q2310855) (← links)
• Extreme value oriented random field discretization based on an hybrid polynomial chaos expansion -- Kriging approach (Q2310861) (← links)
• An efficient multifidelity \(\ell_1\)-minimization method for sparse polynomial chaos (Q2310912) (← links)
• SFE method using Hermite polynomials: An approach for solving nonlinear mechanical problems with uncertain parameters (Q2382836) (← links)
• Multi-fidelity non-intrusive polynomial chaos based on regression (Q2419306) (← links)
• On the capabilities of the polynomial chaos expansion method within SFE analysis -- an overview (Q2443839) (← links)
• On stability and monotonicity requirements of finite difference approximations of stochastic conservation laws with random viscosity (Q2449908) (← links)
• Coordinate transformation and polynomial chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function (Q2631575) (← links)
• An extended stochastic finite element method for solving stochastic partial differential equations on random domains (Q2638087) (← links)
• Optimal sparse polynomial chaos expansion for arbitrary probability distribution and its application on global sensitivity analysis (Q2674097) (← links)
• Stochastic analysis of structures under limited observations using kernel density estimation and arbitrary polynomial chaos expansion (Q2679444) (← links)
• Full-field order-reduced Gaussian process emulators for nonlinear probabilistic mechanics (Q2683438) (← links)
• Nonadaptive quasi-optimal points selection for least squares linear regression (Q2790089) (← links)
• A 3D model to simulate vibrations in a layered medium with stochastic material parameters (Q2845390) (← links)
• Gaussian process emulators for the stochastic finite element method (Q2894757) (← links)
• Stochastic linearisation of geometrically non-linear finite element models (Q3030378) (← links)
• A stochastic finite element procedure for moment and reliability analysis (Q3085803) (← links)
• A STOCHASTIC FINITE-ELEMENT METHOD FOR TRANSFORMED NORMAL RANDOM PARAMETER FIELDS (Q3173741) (← links)
• Parametrization of Random Vectors in Polynomial Chaos Expansions via Optimal Transportation (Q3452487) (← links)
• Probabilistic methods applied to 2D electromagnetic numerical dosimetry (Q3524572) (← links)
• Basis random variables in finite element analysis (Q3771583) (← links)
• Sequential Design of Experiment for Sparse Polynomial Chaos Expansions (Q4636350) (← links)
• Error Estimation of Polynomial Chaos Approximations in Transient Structural Dynamics (Q4987559) (← links)
• Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (Q4995117) (← links)
• Sensitivity Analysis for Stability of Uncertain Delay Differential Equations Using Polynomial Chaos Expansions (Q5054565) (← links)
• A Nonintrusive Reduced-Order Model for Uncertainty Quantification in Numerical Solution of One-Dimensional Free-Surface Water Flows Over Stochastic Beds (Q5084347) (← links)
• Numerical Analysis of the Monte-Carlo Noise for the Resolution of the Deterministic and Uncertain Linear Boltzmann Equation (Comparison of Non-Intrusive gPC and MC-gPC) (Q5104572) (← links)
• Compressed Principal Component Analysis of Non-Gaussian Vectors (Q5139351) (← links)
• To Be or Not to be Intrusive? The Solution of Parametric and Stochastic Equations---Proper Generalized Decomposition (Q5251935) (← links)
• Comparison of Surrogate-Based Uncertainty Quantification Methods for Computationally Expensive Simulators (Q5269870) (← links)
• Least Squares Approximation of Polynomial Chaos Expansions With Optimized Grid Points (Q5358956) (← links)
• The Algebraic Method in Quadrature for Uncertainty Quantification (Q5741182) (← links)
• Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis (Q5864079) (← links)
• Sparse Bayesian learning for complex‐valued rational approximations (Q6071370) (← links)
• Challenges of order reduction techniques for problems involving polymorphic uncertainty (Q6088632) (← links)
• Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of helium on graphite substrate (Q6198152) (← links)
• An efficient dimension-adaptive numerical integration method for stochastic dynamic analysis of structures with uncertain parameters (Q6490916) (← links)
• Uncertainty quantification of offshore anchoring systems in spatially variable soil using sparse polynomial chaos expansions (Q6549943) (← links)
• Adaptive reduced basis strategy for rare-event simulations (Q6549968) (← links)
• An extended stochastic pseudo-spectral Galerkin finite element method (XS-PS-GFEM) for elliptic equations with hybrid uncertainties (Q6553408) (← links)
• A proper generalized decomposition based Padé approximant for stochastic frequency response analysis (Q6554021) (← links)
• Towards error bounds of the failure probability of elastic structures using reduced basis models (Q6557575) (← links)
• Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification (Q6609828) (← links)
• A review of recent advances in surrogate models for uncertainty quantification of high-dimensional engineering applications (Q6663327) (← links)