Pages that link to "Item:Q1281788"

The following pages link to Numerical integration using sparse grids (Q1281788):

Displaying 50 items.

• Stochastic isogeometric analysis on arbitrary multipatch domains by spline dimensional decomposition (Q2138835) (← links)
• A stochastic Galerkin method with adaptive time-stepping for the Navier-Stokes equations (Q2168285) (← links)
• Probabilistic error analysis for some approximation schemes to optimal control problems (Q2173064) (← links)
• A computational framework of kinematic accuracy reliability analysis for industrial robots (Q2174691) (← links)
• Adaptive weighted least-squares polynomial chaos expansion with basis adaptivity and sequential adaptive sampling (Q2175295) (← links)
• Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability (Q2176414) (← links)
• Numerical approximation of poroelasticity with random coefficients using polynomial chaos and hybrid high-order methods (Q2176920) (← links)
• Stochastic isogeometric analysis in linear elasticity (Q2180446) (← links)
• A discontinuous derivative-free optimization framework for multi-enterprise supply chain (Q2182779) (← links)
• Practical uncertainty quantification analysis involving statistically dependent random variables (Q2183055) (← links)
• Adaptive experiment design for probabilistic integration (Q2184342) (← links)
• A family of symmetric, optimized quadrature rules for pentatopes (Q2194851) (← links)
• Set propagation in dynamical systems with generalised polynomial algebra and its computational complexity (Q2206505) (← links)
• Adversarial uncertainty quantification in physics-informed neural networks (Q2222278) (← links)
• Generation of nested quadrature rules for generic weight functions via numerical optimization: application to sparse grids (Q2222671) (← links)
• Towards a unified multiresolution scheme for treating discontinuities in differential equations with uncertainties (Q2229096) (← links)
• An \(O(N)\) algorithm for computing expectation of \(N\)-dimensional truncated multi-variate normal distribution. I: Fundamentals (Q2230582) (← links)
• Accelerated basis adaptation in homogeneous chaos spaces (Q2246311) (← links)
• A compressed-sensing approach for closed-loop optimal control of nonlinear systems (Q2249709) (← links)
• Managing heterogeneity in the study of neural oscillator dynamics (Q2251501) (← links)
• Explicit error bounds for randomized Smolyak algorithms and an application to infinite-dimensional integration (Q2291479) (← links)
• Stochastic model order reduction in randomly parametered linear dynamical systems (Q2294802) (← links)
• An efficient stochastic framework to propagate the effect of the random solid-pore geometry of porous media on the pore-scale flow (Q2308893) (← links)
• A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications (Q2309058) (← links)
• A new non-intrusive polynomial chaos using higher order sensitivities (Q2310152) (← links)
• A weighted POD method for elliptic PDEs with random inputs (Q2333690) (← links)
• Quasi-Monte Carlo methods for linear two-stage stochastic programming problems (Q2349126) (← links)
• Computing discrepancies of Smolyak quadrature rules (Q2365409) (← links)
• Efficient model reduction of parametrized systems by matrix discrete empirical interpolation (Q2374878) (← links)
• A low-rank approach to the computation of path integrals (Q2374948) (← links)
• Sparse grid discontinuous Galerkin methods for high-dimensional elliptic equations (Q2375128) (← links)
• Stochastic Galerkin methods for the steady-state Navier-Stokes equations (Q2375239) (← links)
• Sparse grid collocation schemes for stochastic natural convection problems (Q2381168) (← links)
• Sparse pseudo spectral projection methods with directional adaptation for uncertainty quantification (Q2399195) (← links)
• Multiscale simulation of polymeric fluids using the sparse grid combination technique (Q2422928) (← links)
• Robust boundary conditions for stochastic incompletely parabolic systems of equations (Q2425264) (← links)
• On weak tractability of the Clenshaw-Curtis Smolyak algorithm (Q2451171) (← links)
• Numerical methods to quantify the model risk of basket default swaps (Q2453103) (← links)
• A fictitious domain approach to the numerical solution of PDEs in stochastic domains (Q2454706) (← links)
• Modeling diffusion in random heterogeneous media: data-driven models, stochastic collocation and the variational multiscale method (Q2456691) (← links)
• Cubature formulas for function spaces with moderate smoothness (Q2465307) (← links)
• A sparse grid space-time discretization scheme for parabolic problems (Q2471825) (← links)
• Wiener-Hermite polynomial expansion for multivariate Gaussian probability measures (Q2627962) (← links)
• Impact of geometric uncertainty on hemodynamic simulations using machine learning (Q2631533) (← links)
• An adaptive sparse grid method for elliptic PDEs with stochastic coefficients (Q2631546) (← links)
• Non-intrusive reduced order modelling of the Navier-Stokes equations (Q2632971) (← links)
• Sparse approximation of triangular transports. I: The finite-dimensional case (Q2672289) (← links)
• Multivariate quadrature rules on crosslet sparse grids (Q2672714) (← links)
• Projection pursuit adaptation on polynomial chaos expansions (Q2683425) (← links)
• Response CDF sensitivity and its solution based on sparse grid integration (Q2795162) (← links)