The following pages link to Sparse grids (Q5292940):
Displaying 50 items.
- Multilevel Accelerated Quadrature for PDEs with Log-Normally Distributed Diffusion Coefficient (Q5741190) (← links)
- Non-intrusive Uncertainty Quantification with Sparse Grids for Multivariate Peridynamic Simulations (Q5743956) (← links)
- Discrete Choice Methods with Simulation (Q5864371) (← links)
- Approximative Policy Iteration for Exit Time Feedback Control Problems Driven by Stochastic Differential Equations using Tensor Train Format (Q5865245) (← links)
- Solving High-Dimensional Optimal Stopping Problems Using Optimization Based Model Order Reduction (Q5879352) (← links)
- Low-rank approximation of continuous functions in Sobolev spaces with dominating mixed smoothness (Q5886873) (← links)
- Computing quantum dynamics in the semiclassical regime (Q5887822) (← links)
- A Dimension-Oblivious Domain Decomposition Method Based on Space-Filling Curves (Q5889349) (← links)
- Application of an additive sparse-grid technique to a model singular perturbation problem (Q5928225) (← links)
- On the computation of the eigenproblems of hydrogen and helium in strong magnetic and electric fields with the sparse grid combination technique (Q5928914) (← links)
- Reconstruction and collocation of a class of non-periodic functions by sampling along tent-transformed rank-1 lattices (Q5964235) (← links)
- Discontinuous Galerkin sparse grids methods for time domain Maxwell's equations (Q6040081) (← links)
- Rate-optimal sparse approximation of compact break-of-scale embeddings (Q6042614) (← links)
- A posteriori error analysis and adaptivity for high-dimensional elliptic and parabolic boundary value problems (Q6044435) (← links)
- Implicit integration of nonlinear evolution equations on tensor manifolds (Q6053020) (← links)
- Efficient sparse-grid implementation of a fifth-order multi-resolution WENO scheme for hyperbolic equations (Q6063541) (← links)
- A literature survey of matrix methods for data science (Q6068265) (← links)
- Adaptive experimental design for multi‐fidelity surrogate modeling of multi‐disciplinary systems (Q6069984) (← links)
- A fully discrete high-order fast multiscale Galerkin method for solving boundary integral equations in a domain with corners (Q6077288) (← links)
- Deep ReLU neural networks in high-dimensional approximation (Q6079085) (← links)
- A stable and mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations (Q6095072) (← links)
- Efficient parallelization for 3D-3V sparse grid particle-in-cell: single GPU architectures (Q6105078) (← links)
- Sparse grid time-discontinuous Galerkin method with streamline diffusion for transport equations (Q6114175) (← links)
- Path regularity of the Brownian motion and the Brownian sheet (Q6126176) (← links)
- Sliding window algorithm for parametric identification of dynamical systems with rectangular and ellipsoid parameter uncertainty domains (Q6138457) (← links)
- An efficient numerical method on modified space-time sparse grid for time-fractional diffusion equation with nonsmooth data (Q6141525) (← links)
- Sparse grid discontinuous Galerkin methods for the Vlasov-Maxwell system (Q6145376) (← links)
- Numerical smoothing with hierarchical adaptive sparse grids and quasi-Monte Carlo methods for efficient option pricing (Q6158396) (← links)
- The Mori-Zwanzig formulation of deep learning (Q6162752) (← links)
- Fast hyperbolic wavelet regression meets ANOVA (Q6165230) (← links)
- Sparse grid-based adaptive noise reduction strategy for particle-in-cell schemes (Q6186265) (← links)
- Lattice enumeration via linear programming (Q6191365) (← links)
- Causal inference of general treatment effects using neural networks with a diverging number of confounders (Q6193012) (← links)
- On Uncertainty Quantification of Eigenvalues and Eigenspaces with Higher Multiplicity (Q6194526) (← links)
- On the approximability and curse of dimensionality of certain classes of high-dimensional functions (Q6491315) (← links)
- A finite element reduced-order model based on adaptive mesh refinement and artificial neural networks (Q6497675) (← links)
- Approximation of functions from Korobov spaces by shallow neural networks (Q6544585) (← links)
- Neural network expression rates and applications of the deep parametric PDE method in counterparty credit risk (Q6549602) (← links)
- Quantifying domain uncertainty in linear elasticity (Q6554974) (← links)
- Shape uncertainty quantification of Maxwell eigenvalues and -modes with application to TESLA cavities (Q6566092) (← links)
- Adaptive sparse grid based HOPGD: toward a nonintrusive strategy for constructing space-time welding \textit{computational vademecum} (Q6569270) (← links)
- Knowledge-based modeling of simulation behavior for Bayesian optimization (Q6584868) (← links)
- Approximation in the extended functional tensor train format (Q6587236) (← links)
- A combination technique for optimal control problems constrained by random PDEs (Q6587622) (← links)
- Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing (Q6589357) (← links)
- Multi-index sequential Monte Carlo ratio estimators for Bayesian inverse problems (Q6592117) (← links)
- Algorithm 1040: the Sparse Grids Matlab Kit -- a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification (Q6604158) (← links)
- MARS via lasso (Q6608682) (← links)
- Itô-vector projection filter for exponential families (Q6618293) (← links)
- The sparse-grid-based adaptive spectral Koopman method (Q6623708) (← links)
