Pages that link to "Item:Q2374649"
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The following pages link to A new algorithm for high-dimensional uncertainty quantification based on dimension-adaptive sparse grid approximation and reduced basis methods (Q2374649):
Displaying 23 items.
- Adaptive-sparse polynomial dimensional decomposition methods for high-dimensional stochastic computing (Q459298) (← links)
- A least-squares approximation of partial differential equations with high-dimensional random inputs (Q1028242) (← links)
- Uncertainty quantification for complex systems with very high dimensional response using Grassmann manifold variations (Q1656755) (← links)
- Optimization of black-box problems using Smolyak grids and polynomial approximations (Q1668801) (← links)
- POD-Galerkin reduced-order modeling with adaptive finite element snapshots (Q1685104) (← links)
- Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs (Q2060092) (← links)
- Kriging-sparse polynomial dimensional decomposition surrogate model with adaptive refinement (Q2214537) (← links)
- A nonintrusive reduced order modelling approach using proper orthogonal decomposition and locally adaptive sparse grids (Q2222606) (← links)
- Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems (Q2310097) (← links)
- Sparse-grid, reduced-basis Bayesian inversion: nonaffine-parametric nonlinear equations (Q2375242) (← links)
- Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs (Q2375274) (← links)
- Sparse-grid, reduced-basis Bayesian inversion (Q2631530) (← links)
- Sparse polynomial approximations for affine parametric saddle point problems (Q2679763) (← links)
- Adaptive Sparse Grid Model Order Reduction for Fast Bayesian Estimation and Inversion (Q2808015) (← links)
- A Goal-Oriented Reduced Basis Methods-Accelerated Generalized Polynomial Chaos Algorithm (Q3179335) (← links)
- Uncertainty Quantification for Low-Frequency, Time-Harmonic Maxwell Equations with Stochastic Conductivity Models (Q4611518) (← links)
- Efficient Reduced Basis Methods for Saddle Point Problems with Applications in Groundwater Flow (Q4636360) (← links)
- Reduced Basis Methods for Uncertainty Quantification (Q4636408) (← links)
- Sparse quadrature for high-dimensional integration with Gaussian measure (Q4961188) (← links)
- Optimization-Based Parametric Model Order Reduction for the Application to the Frequency-Domain Analysis of Complex Systems (Q5014019) (← links)
- Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates (Q5163499) (← links)
- An Efficient, Globally Convergent Method for Optimization Under Uncertainty Using Adaptive Model Reduction and Sparse Grids (Q5237179) (← links)
- A review of recent advances in surrogate models for uncertainty quantification of high-dimensional engineering applications (Q6663327) (← links)
