The following pages link to Sparse grids (Q5292940):
Displaying 50 items.
- Analysis of sparse grid multilevel estimators for multi-dimensional Zakai equations (Q2091299) (← links)
- Efficiently transforming from values of a function on a sparse grid to basis coefficients (Q2091301) (← links)
- A sparse-grid probabilistic scheme for approximation of the runaway probability of electrons in fusion tokamak simulation (Q2091304) (← links)
- Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions (Q2093707) (← links)
- Deep composition of tensor-trains using squared inverse Rosenblatt transports (Q2098237) (← links)
- Convergence of sparse grid Gaussian convolution approximation for multi-dimensional periodic functions (Q2105125) (← links)
- Approximation of functions from korobov spaces by deep convolutional neural networks (Q2108977) (← links)
- High-order approximation rates for shallow neural networks with cosine and \(\mathrm{ReLU}^k\) activation functions (Q2118396) (← links)
- An adaptive high-order piecewise polynomial based sparse grid collocation method with applications (Q2120741) (← links)
- An adaptive multiresolution ultra-weak discontinuous Galerkin method for nonlinear Schrödinger equations (Q2124048) (← 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)
- Spectral convergence of probability densities for forward problems in uncertainty quantification (Q2126139) (← links)
- An adaptive sparse grid local discontinuous Galerkin method for Hamilton-Jacobi equations in high dimensions (Q2131083) (← links)
- Nonstandard finite element methods. Abstracts from the workshop held January 10--16, 2021 (hybrid meeting) (Q2131196) (← links)
- Lattice meets lattice: application of lattice cubature to models in lattice gauge theory (Q2132606) (← links)
- Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis (Q2134812) (← links)
- A multigrid preconditioner for tensor product spline smoothing (Q2135908) (← links)
- A low rank tensor representation of linear transport and nonlinear Vlasov solutions and their associated flow maps (Q2139008) (← links)
- \(s\)-numbers of embeddings of weighted Wiener algebras (Q2139168) (← links)
- A new upper bound for sampling numbers (Q2143216) (← links)
- On generation and enumeration of orthogonal Chebyshev-Frolov lattices (Q2154566) (← links)
- ReLU deep neural networks from the hierarchical basis perspective (Q2159911) (← links)
- Randomized Newton's method for solving differential equations based on the neural network discretization (Q2161555) (← links)
- Numerical approximation of a system of Hamilton-Jacobi-Bellman equations arising in innovation dynamics (Q2161812) (← links)
- IGA-based multi-index stochastic collocation for random PDEs on arbitrary domains (Q2173588) (← 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)
- The surrogate matrix methodology: low-cost assembly for isogeometric analysis (Q2176953) (← links)
- A posteriori error analysis and adaptive non-intrusive numerical schemes for systems of random conservation laws (Q2192594) (← links)
- A family of symmetric, optimized quadrature rules for pentatopes (Q2194851) (← links)
- A multilevel sparse kernel-based stochastic collocation finite element method for elliptic problems with random coefficients (Q2202975) (← links)
- A parallel sparse grid construction algorithm based on the shared memory architecture and its application to flash calculations (Q2203917) (← links)
- An adaptive multiresolution interior penalty discontinuous Galerkin method for wave equations in second order form (Q2204882) (← links)
- Computing the Newton potential in the boundary integral equation for the Dirichlet problem of the Poisson equation (Q2214407) (← links)
- Regularity and sparse approximation of the recursive first moment equations for the lognormal Darcy problem (Q2214457) (← links)
- Krylov implicit integration factor discontinuous Galerkin methods on sparse grids for high dimensional reaction-diffusion equations (Q2220599) (← links)
- Data assimilation for models with parametric uncertainty (Q2222452) (← links)
- A nonintrusive reduced order modelling approach using proper orthogonal decomposition and locally adaptive sparse grids (Q2222606) (← links)
- Generation of nested quadrature rules for generic weight functions via numerical optimization: application to sparse grids (Q2222671) (← links)
- Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs (Q2223023) (← links)
- Two-scale finite element discretizations for nonlinear eigenvalue problems in quantum physics (Q2230692) (← links)
- A quasi-Monte Carlo data compression algorithm for machine learning (Q2238850) (← links)
- Quasioptimality of maximum-volume cross interpolation of tensors (Q2250929) (← links)
- Multivariate approximation by translates of the Korobov function on Smolyak grids (Q2252047) (← links)
- Higher-order interpolated lattice schemes for multidimensional option pricing problems (Q2252708) (← links)
- Parametric dominant pole algorithm for parametric model order reduction (Q2252833) (← links)
- A new scheme for the tensor representation (Q2269526) (← links)
- Sharp estimates for approximation numbers of non-periodic Sobolev embeddings (Q2274402) (← links)
- Some applications of compressed sensing in computational mechanics: model order reduction, manifold learning, data-driven applications and nonlinear dimensionality reduction (Q2281470) (← links)
