MDFEM: Multivariate decomposition finite element method for elliptic PDEs with lognormal diffusion coefficients using higher-order QMC and FEM
DOI10.1051/m2an/2021029zbMath1492.65327arXiv1904.13327OpenAlexW3176515582WikidataQ114105431 ScholiaQ114105431MaRDI QIDQ5074378
Dong T. P. Nguyen, Dirk Nuyens
Publication date: 9 May 2022
Published in: ESAIM: Mathematical Modelling and Numerical Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1904.13327
cubaturefinite element methodcomplexity boundselliptic PDEinfinite-dimensional integrationhigh-dimensional quadraturemultivariate decomposition methodstochastic diffusion coefficienthigher-order quasi-Monte Carlolognormal case
Monte Carlo methods (65C05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Numerical quadrature and cubature formulas (65D32) Numerical integration (65D30)
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- Infinite-dimensional integration in weighted Hilbert spaces: anchored decompositions, optimal deterministic algorithms, and higher-order convergence
- Quasi-Monte Carlo finite element methods for elliptic PDEs with lognormal random coefficients
- Application of quasi-Monte Carlo methods to elliptic PDEs with random diffusion coefficients: a survey of analysis and implementation
- Tractability of infinite-dimensional integration in the worst case and randomized settings
- Efficient calculation of the worst-case error and (fast) component-by-component construction of higher order polynomial lattice rules
- Liberating the dimension
- Multivariate integration over \(\mathbb{R}^s\) with exponential rate of convergence
- QMC rules of arbitrary high order: Reproducing kernel Hilbert space approach
- Randomly shifted lattice rules with the optimal rate of convergence for unbounded integrands
- Tractability of multivariate problems. Volume II: Standard information for functionals.
- Circulant embedding with QMC: analysis for elliptic PDE with lognormal coefficients
- Representations of Gaussian random fields and approximation of elliptic PDEs with lognormal coefficients
- QMC integration for lognormal-parametric, elliptic PDEs: local supports and product weights
- Infinite-dimensional integration and the multivariate decomposition method
- MDFEM: multivariate decomposition finite element method for elliptic PDEs with uniform random diffusion coefficients using higher-order QMC and FEM
- Fast CBC construction of randomly shifted lattice rules achieving \(\mathcal{O}(n^{- 1 + \delta})\) convergence for unbounded integrands over \(\mathbb{R}^s\) in weighted spaces with POD weights
- High-dimensional integration on \(\mathbb{R}^d\), weighted Hermite spaces, and orthogonal transforms
- Strong convergence analysis of iterative solvers for random operator equations
- Good interlaced polynomial lattice rules for numerical integration in weighted Walsh spaces
- Integration in Hermite spaces of analytic functions
- Embeddings of weighted Hilbert spaces and applications to multivariate and infinite-dimensional integration
- On weighted Hilbert spaces and integration of functions of infinitely many variables
- Sparse polynomial approximation of parametric elliptic PDEs. Part II: lognormal coefficients
- On decompositions of multivariate functions
- On the Optimal Order of Integration in Hermite Spaces with Finite Smoothness
- Efficient Implementations of the Multivariate Decomposition Method for Approximating Infinite-Variate Integrals
- Multilevel quasi-Monte Carlo integration with product weights for elliptic PDEs with lognormal coefficients
- Higher Order QMC Petrov--Galerkin Discretization for Affine Parametric Operator Equations with Random Field Inputs
- Construction algorithms for polynomial lattice rules for multivariate integration
- Fully Discrete Approximation of Parametric and Stochastic Elliptic PDEs
- Quasi–Monte Carlo integration with product weights for elliptic PDEs with log-normal coefficients