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Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs / Dinh Dũng, ... [et al.]
| Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs / Dinh Dũng, ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xv, 207 p. ; 24 cm |
| Soggetto topico |
33C45 - Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.) [MSC 2020]
65N30 - Finite elements, Rayleigh-Ritz and Galerkin methods, finite methods for boundary value problems involving PDEs [MSC 2020] 41A25 - Rate of convergence, degree of approximation [MSC 2020] 41A46 - Approximation by arbitrary nonlinear expressions; widths and entropy [MSC 2020] 35J15 - Second order elliptic equations [MSC 2020] 28C20 - Set functions and measures and integrals in infinite-dimensional spaces (Wiener measure, Gaussian measure, etc.) [MSC 2020] 65N15 - Error bounds for boundary value problems involving PDEs [MSC 2020] 35B30 - Dependence of solutions to PDEs on initial and/or boundary data and/or on parameters of PDEs [MSC 2020] 65N21 - Numerical methods for inverse problems for boundary value problems involving PDEs [MSC 2020] 35J57 - Boundary value problems for second-order elliptic systems [MSC 2020] 65D40 - Numerical approximation of high-dimensional functions; sparse grids [MSC 2020] |
| Soggetto non controllato |
Finite element methods
Gaussian measures High-dimensional approximation Parametric and Stochastic PDE Partial differential equations Polynomial chaos Smolyak Quadrature Sparse-Grid Interpolation Uncertainty Quantification |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0269844 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Hyperbolic Cross Approximation / Dinh Dũng, Vladimir Temlyakov, Tino Ullrich ; Sergey Tikhonov editor
| Hyperbolic Cross Approximation / Dinh Dũng, Vladimir Temlyakov, Tino Ullrich ; Sergey Tikhonov editor |
| Autore | Dũng, Dinh |
| Pubbl/distr/stampa | Cham, : Birkhäuser, 2018 |
| Descrizione fisica | xi, 218 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Temlyakov, Vladimir
Ullrich, Tino |
| Soggetto topico |
42Axx - Harmonic analysis in one variable [MSC 2020]
41-XX - Approximations and expansions [MSC 2020] 65Dxx - Numerical approximation and computational geometry (primarily algorithms) [MSC 2020] 42Bxx - Harmonic analysis in several variables [MSC 2020] |
| Soggetto non controllato |
Best m-term approximation
Cubature formulas Entropy number High-dimensional approximation Hyperbolic cross Kolmogorov width Linear approximation Linear width Mixed smoothnes Nonlinear approximation Numerical integration Orthowidth Sampling recovery Sampling width Sparse grid Strigonometric polynomial |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124760 |
Dũng, Dinh
|
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| Cham, : Birkhäuser, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Hyperbolic Cross Approximation / Dinh Dũng, Vladimir Temlyakov, Tino Ullrich ; Sergey Tikhonov editor
| Hyperbolic Cross Approximation / Dinh Dũng, Vladimir Temlyakov, Tino Ullrich ; Sergey Tikhonov editor |
| Autore | Dũng, Dinh |
| Edizione | [Cham : Birkhäuser, 2018] |
| Pubbl/distr/stampa | xi, 218 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Temlyakov, Vladimir
Ullrich, Tino |
| Soggetto topico |
42Axx - Harmonic analysis in one variable [MSC 2020]
41-XX - Approximations and expansions [MSC 2020] 65Dxx - Numerical approximation and computational geometry (primarily algorithms) [MSC 2020] 42Bxx - Harmonic analysis in several variables [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124760 |
|
Dũng, Dinh
|
||
| xi, 218 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||