Pages that link to "Item:Q543721"

The following pages link to A non-adapted sparse approximation of PDEs with stochastic inputs (Q543721):

Displaying 50 items.

• Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs (Q2036421) (← links)
• Accelerating the Bayesian inference of inverse problems by using data-driven compressive sensing method based on proper orthogonal decomposition (Q2055173) (← links)
• Adaboost-based ensemble of polynomial chaos expansion with adaptive sampling (Q2060149) (← links)
• A multi-fidelity polynomial chaos-greedy Kaczmarz approach for resource-efficient uncertainty quantification on limited budget (Q2072434) (← links)
• Learning ``best'' kernels from data in Gaussian process regression. With application to aerodynamics (Q2083686) (← links)
• The uniform sparse FFT with application to PDEs with random coefficients (Q2098298) (← links)
• GenMod: a generative modeling approach for spectral representation of PDEs with random inputs (Q2099749) (← links)
• Generalization bounds for sparse random feature expansions (Q2105118) (← links)
• Bi-fidelity reduced polynomial chaos expansion for uncertainty quantification (Q2115584) (← links)
• Optimal design for kernel interpolation: applications to uncertainty quantification (Q2124880) (← links)
• Neural network training using \(\ell_1\)-regularization and bi-fidelity data (Q2138992) (← links)
• Efficient uncertainty quantification of stochastic problems in CFD by combination of compressed sensing and POD-kriging (Q2156798) (← links)
• Variational inference with NoFAS: normalizing flow with adaptive surrogate for computationally expensive models (Q2162034) (← links)
• Polynomial chaos expansions for dependent random variables (Q2173605) (← links)
• Global sensitivity analysis for multivariate outputs using polynomial chaos-based surrogate models (Q2174747) (← links)
• Adaptive weighted least-squares polynomial chaos expansion with basis adaptivity and sequential adaptive sampling (Q2175295) (← links)
• A class of null space conditions for sparse recovery via nonconvex, non-separable minimizations (Q2211058) (← links)
• A distributed active subspace method for scalable surrogate modeling of function valued outputs (Q2211746) (← links)
• Compressive sensing adaptation for polynomial chaos expansions (Q2214527) (← links)
• Data-driven polynomial chaos expansions: a weighted least-square approximation (Q2214561) (← links)
• On the use of derivatives in the polynomial chaos based global sensitivity and uncertainty analysis applied to the distributed parameter models (Q2214566) (← links)
• Optimal observations-based retrieval of topography in 2D shallow water equations using PC-EnKF (Q2214574) (← links)
• A sparse FFT approach for ODE with random coefficients (Q2216613) (← links)
• PLS-based adaptation for efficient PCE representation in high dimensions (Q2220565) (← links)
• Some greedy algorithms for sparse polynomial chaos expansions (Q2220572) (← links)
• An iterative polynomial chaos approach for solution of structural mechanics problem with Gaussian material property (Q2221370) (← links)
• Level set methods for stochastic discontinuity detection in nonlinear problems (Q2221452) (← links)
• Bi-fidelity stochastic gradient descent for structural optimization under uncertainty (Q2221705) (← links)
• Data assimilation for models with parametric uncertainty (Q2222452) (← links)
• Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence (Q2222797) (← links)
• Non-intrusive framework of reduced-order modeling based on proper orthogonal decomposition and polynomial chaos expansion (Q2226314) (← links)
• Sensitivity analysis and model order reduction for random linear dynamical systems (Q2228628) (← links)
• Efficient uncertainty quantification of CFD problems by combination of proper orthogonal decomposition and compressed sensing (Q2243373) (← links)
• Accelerated basis adaptation in homogeneous chaos spaces (Q2246311) (← links)
• On the construction of uncertain time series surrogates using polynomial chaos and Gaussian processes (Q2292255) (← links)
• Functional approximation and projection of stored energy functions in computational homogenization of hyperelastic materials: a probabilistic perspective (Q2308733) (← links)
• A rapid and efficient isogeometric design space exploration framework with application to structural mechanics (Q2309010) (← links)
• Divide and conquer: an incremental sparsity promoting compressive sampling approach for polynomial chaos expansions (Q2309799) (← links)
• Stochastic variational multiscale analysis of the advection-diffusion equation: advective-diffusive regime and multi-dimensional problems (Q2310045) (← links)
• A generalized multi-resolution expansion for uncertainty propagation with application to cardiovascular modeling (Q2310367) (← links)
• Least squares polynomial chaos expansion: a review of sampling strategies (Q2310855) (← links)
• \(h\)-\(p\) adaptive model based approximation of moment free sensitivity indices (Q2310862) (← links)
• An efficient multifidelity \(\ell_1\)-minimization method for sparse polynomial chaos (Q2310912) (← links)
• Data-driven compressive sensing and applications in uncertainty quantification (Q2312140) (← links)
• Gradient-based optimization for regression in the functional tensor-train format (Q2312177) (← links)
• Sparse low rank approximation of potential energy surfaces with applications in estimation of anharmonic zero point energies and frequencies (Q2322234) (← links)
• Infinite-dimensional \(\ell ^1\) minimization and function approximation from pointwise data (Q2359680) (← links)
• Global sensitivity analysis based on high-dimensional sparse surrogate construction (Q2363869) (← links)
• Weighted discrete least-squares polynomial approximation using randomized quadratures (Q2374682) (← links)
• Exploiting active subspaces to quantify uncertainty in the numerical simulation of the hyshot II scramjet (Q2374810) (← links)