Pages that link to "Item:Q846580"
From MaRDI portal
The following pages link to Multi-element probabilistic collocation method in high dimensions (Q846580):
Displaying 39 items.
- An adaptive high-order piecewise polynomial based sparse grid collocation method with applications (Q2120741) (← links)
- Dynamic tensor approximation of high-dimensional nonlinear PDEs (Q2124324) (← links)
- Flow-driven spectral chaos (FSC) method for simulating long-time dynamics of arbitrary-order non-linear stochastic dynamical systems (Q2124875) (← links)
- Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion (Q2128063) (← links)
- Multi-element flow-driven spectral chaos (ME-FSC) method for uncertainty quantification of dynamical systems (Q2162015) (← links)
- Real-time reduced-order modeling of stochastic partial differential equations via time-dependent subspaces (Q2194337) (← links)
- An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems (Q2222423) (← links)
- Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs (Q2223023) (← links)
- Towards a unified multiresolution scheme for treating discontinuities in differential equations with uncertainties (Q2229096) (← links)
- Galerkin methods for stochastic hyperbolic problems using bi-orthogonal polynomials (Q2276409) (← links)
- Divide and conquer: an incremental sparsity promoting compressive sampling approach for polynomial chaos expansions (Q2309799) (← links)
- A continuation multi level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible inviscid aerodynamics (Q2310048) (← links)
- Uncertainty quantification of geochemical and mechanical compaction in layered sedimentary basins (Q2310124) (← links)
- Goal-oriented error control of stochastic system approximations using metric-based anisotropic adaptations (Q2312120) (← links)
- Gradient-based optimization for regression in the functional tensor-train format (Q2312177) (← links)
- A new algorithm for high-dimensional uncertainty quantification based on dimension-adaptive sparse grid approximation and reduced basis methods (Q2374649) (← links)
- Numerical methods for high-dimensional probability density function equations (Q2374964) (← links)
- Simplex-stochastic collocation method with improved scalability (Q2375010) (← links)
- Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation (Q2375149) (← links)
- Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs (Q2375274) (← links)
- High-order statistics in global sensitivity analysis: decomposition and model reduction (Q2417474) (← links)
- Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario (Q2418682) (← links)
- Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis (Q2425303) (← links)
- New evolution equations for the joint response-excitation probability density function of stochastic solutions to first-order nonlinear PDEs (Q2446759) (← links)
- Acoustic propagation in an uncertain waveguide environment using stochastic basis expansions (Q2845388) (← links)
- Sparse grids-based stochastic approximations with applications to aerodynamics sensitivity analysis (Q2952874) (← links)
- Algorithms for Propagating Uncertainty Across Heterogeneous Domains (Q3457837) (← links)
- Constructing Surrogate Models of Complex Systems with Enhanced Sparsity: Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation (Q3459658) (← links)
- A Computational Stochastic Methodology for the Design of Random Meta-materials under Geometric Constraints (Q4607634) (← links)
- Stochastic finite element methods for partial differential equations with random input data (Q4683917) (← links)
- Improved Moving Least Square-Based Multiple Dimension Decomposition (MDD) Technique for Structural Reliability Analysis (Q4987340) (← links)
- A computable evolution equation for the joint response-excitation probability density function of stochastic dynamical systems (Q5345927) (← links)
- Multifidelity Information Fusion Algorithms for High-Dimensional Systems and Massive Data sets (Q5739794) (← links)
- Implicit integration of nonlinear evolution equations on tensor manifolds (Q6053020) (← links)
- An <i>hp</i>‐adaptive multi‐element stochastic collocation method for surrogate modeling with information re‐use (Q6082501) (← links)
- Convergence of a stochastic collocation finite volume method for the compressible Navier-Stokes system (Q6138927) (← links)
- Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions (Q6177923) (← links)
- The deep arbitrary polynomial chaos neural network or how deep artificial neural networks could benefit from data-driven homogeneous chaos theory (Q6488834) (← links)
- Variance-based simplex stochastic collocation with model order reduction for high-dimensional systems (Q6555319) (← links)
