Pages that link to "Item:Q5963452"
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The following pages link to Hyperbolic cross approximation in infinite dimensions (Q5963452):
Displaying 18 items.
- On tensor product approximation of analytic functions (Q281571) (← links)
- Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity (Q506615) (← links)
- New explicit-in-dimension estimates for the cardinality of high-dimensional hyperbolic crosses and approximation of functions having mixed smoothness (Q895989) (← links)
- \(\varepsilon\)-dimension in infinite dimensional hyperbolic cross approximation and application to parametric elliptic PDEs (Q1745634) (← links)
- Hyperbolic cross approximation. Lecture notes given at the courses on constructive approximation and harmonic analysis, Barcelona, Spain, May 30 -- June 3, 2016 (Q1991071) (← links)
- How anisotropic mixed smoothness affects the decay of singular numbers for Sobolev embeddings (Q1996889) (← links)
- MDFEM: multivariate decomposition finite element method for elliptic PDEs with uniform random diffusion coefficients using higher-order QMC and FEM (Q2049916) (← links)
- Embeddings for infinite-dimensional integration and \(L_2\)-approximation with increasing smoothness (Q2274409) (← links)
- Dimension-dependent error estimates for sampling recovery on Smolyak grids based on B-spline quasi-interpolation (Q2286231) (← links)
- Explicit error bounds for randomized Smolyak algorithms and an application to infinite-dimensional integration (Q2291479) (← links)
- Adjusted sparse tensor product spectral Galerkin method for solving pseudodifferential equations on the sphere with random input data (Q2307479) (← links)
- Multi-index stochastic collocation for random PDEs (Q2309190) (← links)
- Cross-ratio inequality with infinite type of singularities (Q2340533) (← links)
- Stable splittings of Hilbert spaces of functions of infinitely many variables (Q2360671) (← links)
- Construction of interlaced polynomial lattice rules for infinitely differentiable functions (Q2408931) (← links)
- \(N\)-widths and \(\varepsilon \)-dimensions for high-dimensional approximations (Q2441423) (← links)
- A metalearning approach for physics-informed neural networks (PINNs): application to parameterized PDEs (Q2681136) (← links)
- Linear collective collocation approximation for parametric and stochastic elliptic PDEs (Q4966691) (← links)
