DOI10.1016/j.cma.2004.05.027zbMath1088.65002OpenAlexW2064332562MaRDI QIDQ817341
Hermann G. Matthies, Andreas Keese
Publication date: 8 March 2006
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://publikationsserver.tu-braunschweig.de/servlets/MCRFileNodeServlet/dbbs_derivate_00001489/Document.pdf
Adaptive stochastic Galerkin FEM with hierarchical tensor representations,
ON THE OPTIMAL POLYNOMIAL APPROXIMATION OF STOCHASTIC PDES BY GALERKIN AND COLLOCATION METHODS,
Uncertainty Quantification for a Clarifier–Thickener Model with Random Feed,
Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation,
Stochastic Galerkin methods for the steady-state Navier-Stokes equations,
Stochastic Galerkin Methods for Linear Stability Analysis of Systems with Parametric Uncertainty,
Sparse Representations in Stochastic Mechanics,
Multilevel Estimation of Rare Events,
Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format,
Existence, Uniqueness, and a Comparison of Nonintrusive Methods for the Stochastic Nonlinear Poisson--Boltzmann Equation,
A Sparse Stochastic Collocation Technique for High-Frequency Wave Propagation with Uncertainty,
An Adaptive Multilevel Monte Carlo Method with Stochastic Bounds for Quantities of Interest with Uncertain Data,
Local Equilibration Error Estimators for Guaranteed Error Control in Adaptive Stochastic Higher-Order Galerkin Finite Element Methods,
SFE method using Hermite polynomials: An approach for solving nonlinear mechanical problems with uncertain parameters,
An extended stochastic finite element method for solving stochastic partial differential equations on random domains,
Generalized spectral decomposition method for solving stochastic finite element equations: invariant subspace problem and dedicated algorithms,
Computational aspects of the stochastic finite element method,
Comparative study of projection schemes for stochastic finite element analysis,
Lack of knowledge in structural model validation,
STOCHASTIC GALERKIN DISCRETIZATION OF THE LOG-NORMAL ISOTROPIC DIFFUSION PROBLEM,
Error estimation in a stochastic finite element method in electrokinetics,
Efficient approximation of random fields for numerical applications,
Intrusive uncertainty quantification for hyperbolic-elliptic systems governing two-phase flow in heterogeneous porous media,
A hybrid stochastic Galerkin method for uncertainty quantification applied to a conservation law modelling a clarifier-thickener unit,
A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs,
Simultaneous state-time approximation of the chemical master equation using tensor product formats,
A meshfree peridynamic model for brittle fracture in randomly heterogeneous materials,
Probabilistic failure mechanisms via Monte Carlo simulations of complex microstructures,
A weak-intrusive stochastic finite element method for stochastic structural dynamics analysis,
Optimal sparse polynomial chaos expansion for arbitrary probability distribution and its application on global sensitivity analysis,
Uncertainty Quantification for PDEs with Anisotropic Random Diffusion,
Second Moment Analysis for Robin Boundary Value Problems on Random Domains,
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario,
Sparse polynomial chaos expansions for uncertainty quantification in thermal tomography,
An analytical approach to modeling the stochastic behavior of visco‐elastic materials,
On the quasi-Monte Carlo method with Halton points for elliptic PDEs with log-normal diffusion,
Computable Error Estimates for Finite Element Approximations of Elliptic Partial Differential Equations with Rough Stochastic Data,
An Efficient Reduced Basis Solver for Stochastic Galerkin Matrix Equations,
An adaptive dynamically low-dimensional approximation method for multiscale stochastic diffusion equations,
A unified framework for mesh refinement in random and physical space,
A Novel Variable-Separation Method Based on Sparse and Low Rank Representation for Stochastic Partial Differential Equations,
Cluster-based generalized multiscale finite element method for elliptic PDEs with random coefficients,
Statistical reconstruction and Karhunen-Loève expansion for multiphase random media,
Robust Information Divergences for Model-Form Uncertainty Arising from Sparse Data in Random PDE,
Inexact Methods for Symmetric Stochastic Eigenvalue Problems,
Chance constrained optimization of elliptic PDE systems with a smoothing convex approximation,
Unnamed Item,
Accurate and efficient evaluation of failure probability for partial different equations with random input data,
Uncertainty updating in the description of coupled heat and moisture transport in heterogeneous materials,
Adaptive wavelet methods for elliptic partial differential equations with random operators,
Analysis of Probabilistic and Parametric Reduced Order Models,
A fictitious domain approach to the numerical solution of PDEs in stochastic domains,
A multiscale method for semi-linear elliptic equations with localized uncertainties and non-linearities,
Inelastic Media under Uncertainty: Stochastic Models and Computational Approaches,
Stochastic Least-Squares Petrov--Galerkin Method for Parameterized Linear Systems,
A Data-Driven Approach for Multiscale Elliptic PDEs with Random Coefficients Based on Intrinsic Dimension Reduction,
A stabilized finite element method for stochastic incompressible Navier–Stokes equations,
A systematic study of efficient sampling methods to quantify uncertainty in crack propagation and the Burgers equation,
Tensor numerical methods for multidimensional PDES: theoretical analysis and initial applications,
Stochastic finite element methods for partial differential equations with random input data,
A Model Reduction Method for Multiscale Elliptic Pdes with Random Coefficients Using an Optimization Approach,
Interpolation of Inverse Operators for Preconditioning Parameter-Dependent Equations,
Inverse Subspace Iteration for Spectral Stochastic Finite Element Methods,
On probabilistic yielding of materials,
Multilevel Quadrature for Elliptic Parametric Partial Differential Equations in Case of Polygonal Approximations of Curved Domains,
The Global Random Attractor for a Class of Stochastic Porous Media Equations,
A Variable-Separation Method for Nonlinear Partial Differential Equations With Random Inputs,
Variational Monte Carlo -- bridging concepts of machine learning and high-dimensional partial differential equations,
Fokker-Planck linearization for non-Gaussian stochastic elastoplastic finite elements,
Reduced basis methods for nonlocal diffusion problems with random input data,
Bayesian sparse polynomial chaos expansion for global sensitivity analysis,
Multi-index stochastic collocation for random PDEs,
Uncertainty Propagation Analysis of T/R Modules,
Accelerating Monte Carlo estimation with derivatives of high-level finite element models,
A new non-intrusive polynomial chaos using higher order sensitivities,
Least squares polynomial chaos expansion: a review of sampling strategies,
Scalable domain decomposition solvers for stochastic PDEs in high performance computing,
Estimation of exciton diffusion lengths of organic semiconductors in random domains,
A Hybrid Alternating Least Squares--TT-Cross Algorithm for Parametric PDEs,
Random field representations for stochastic elliptic boundary value problems and statistical inverse problems,
Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods,
Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs,
Uncertainty quantification in chemical systems,
Analysis and implementation issues for the numerical approximation of parabolic equations with random coefficients,
On output functionals of boundary value problems on stochastic domains,
An adaptive stochastic Galerkin method for random elliptic operators,
Lattice Boltzmann Method for Stochastic Convection-Diffusion Equations,
A Novel Reduced Spectral Function Approach for Finite Element Analysis of Stochastic Dynamical Systems,
A Hybrid HDMR for Mixed Multiscale Finite Element Methods with Application to Flows in Random Porous Media,
To Be or Not to be Intrusive? The Solution of Parametric and Stochastic Equations---Proper Generalized Decomposition,
An efficient pseudo-spectral Legendre-Galerkin method for solving a nonlinear partial integro-differential equation arising in population dynamics,
An Adaptive Wavelet Stochastic Collocation Method for Irregular Solutions of Partial Differential Equations with Random Input Data,
Validation of structural dynamics models containing uncertainties,
Solving parametric PDE problems with artificial neural networks,
Iterative Polynomial Approximation Adapting to Arbitrary Probability Distribution,
Discontinuous Galerkin methods for elliptic partial differential equations with random coefficients,
The stochastic Galerkin scaled boundary finite element method on random domain,
SDE Based Regression for Linear Random PDEs,
$\mathcal{H}$-Matrix Based Second Moment Analysis for Rough Random Fields and Finite Element Discretizations,
Sparse Bayesian learning for complex‐valued rational approximations,
Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator: concept for bias correction, assessment of surrogate reliability and its application to the carbon dioxide benchmark,
Space and chaos‐expansion Galerkin proper orthogonal decomposition low‐order discretization of partial differential equations for uncertainty quantification,
Efficient probabilistic multi-fidelity calibration of a damage-plastic model for confined concrete,
Uncertainty quantification for mineral precipitation and dissolution in fractured porous media,
Stochastic domain decomposition based on variable-separation method,
Spline local basis methods for nonparametric density estimation,
A new regularized stochastic approximation framework for stochastic inverse problems,
A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms,
Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions,
Robust Level-Set-Based Topology Optimization Under Uncertainties Using Anchored ANOVA Petrov–Galerkin Method,
Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes-Darcy flow problems,
Stochastic PDE representation of random fields for large-scale Gaussian process regression and statistical finite element analysis,
Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of helium on graphite substrate,
Feasibility of DEIM for retrieving the initial field via dimensionality reduction,
Transient landing dynamics analysis for a lunar lander with random and interval fields,
An adaptive hp-version stochastic Galerkin method for constrained optimal control problem governed by random reaction diffusion equations,
Stochastic gradient descent for semilinear elliptic equations with uncertainties,
A stochastic collocation method based on sparse grids for a stochastic Stokes-Darcy model,
Nonparametric density estimation and bandwidth selection with B-spline bases: a novel Galerkin method,
An efficient hybrid method for uncertainty quantification,
An adaptive least-squares global sensitivity method and application to a plasma-coupled combustion prediction with parametric correlation,
Multi-element probabilistic collocation method in high dimensions,
Robust optimization of subsurface flow using polynomial chaos and response surface surrogates,
Convergence of quasi-optimal stochastic Galerkin methods for a class of PDES with random coefficients,
Efficient low-rank approximation of the stochastic Galerkin matrix in tensor formats,
High-order methods as an alternative to using sparse tensor products for stochastic Galerkin FEM,
A two-level sparse grid collocation method for semilinear stochastic elliptic equation,
An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems,
Combination technique based \(k\)-th moment analysis of elliptic problems with random diffusion,
A domain decomposition method of stochastic PDEs: an iterative solution techniques using a two-level scalable preconditioner,
Enforcing positivity in intrusive PC-UQ methods for reactive ODE systems,
Proper generalized decompositions and separated representations for the numerical solution of high dimensional stochastic problems,
Reduced basis techniques for stochastic problems,
A stochastic Galerkin method with adaptive time-stepping for the Navier-Stokes equations,
Anchored ANOVA Petrov-Galerkin projection schemes for parabolic stochastic partial differential equations,
A new perspective on the solution of uncertainty quantification and reliability analysis of large-scale problems,
Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability,
Numerical approximation of poroelasticity with random coefficients using polynomial chaos and hybrid high-order methods,
Stochastic isogeometric analysis in linear elasticity,
Sampling-free linear Bayesian update of polynomial chaos representations,
Stochastic modeling and identification of an uncertain computational dynamical model with random fields properties and model uncertainties,
Karhunen-Loève expansion revisited for vector-valued random fields: scaling, errors and optimal basis.,
On the deterministic solution of multidimensional parametric models using the proper generalized decomposition,
A stochastic collocation method for the second-order wave equation with a discontinuous random speed,
Solving stochastic systems with low-rank tensor compression,
\(\mathcal H\)-matrix accelerated second moment analysis for potentials with rough correlation,
A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problems,
Non intrusive iterative stochastic spectral representation with application to compressible gas dynamics,
Adaptive sparse polynomial chaos expansion based on least angle regression,
Model reduction method using variable-separation for stochastic saddle point problems,
A domain mapping approach for elliptic equations posed on random bulk and surface domains,
A multilevel sparse kernel-based stochastic collocation finite element method for elliptic problems with random coefficients,
Dimensionality reduction in thermal tomography,
A Newton method for the resolution of steady stochastic Navier-Stokes equations,
Optimal control with stochastic PDE constraints and uncertain controls,
Multiresolution analysis for stochastic finite element problems with wavelet-based Karhunen-Loève expansion,
Acceleration of uncertainty updating in the description of transport processes in heterogeneous materials,
A distributed active subspace method for scalable surrogate modeling of function valued outputs,
Reduced chaos decomposition with random coefficients of vector-valued random variables and random fields,
Solving elliptic problems with non-Gaussian spatially-dependent random coefficients,
Numerical methods for the discretization of random fields by means of the Karhunen-Loève expansion,
A hybrid spectral and metamodeling approach for the stochastic finite element analysis of structural dynamic systems,
A new membership function approach to uncertain functions,
A reduced spectral function approach for the stochastic finite element analysis,
PLS-based adaptation for efficient PCE representation in high dimensions,
Some greedy algorithms for sparse polynomial chaos expansions,
Application of Galerkin method to Kirchhoff plates stochastic bending problem,
The stochastic finite element method: past, present and future,
Fictitious domain method and separated representations for the solution of boundary value problems on uncertain parameterized domains,
A reduced basis approach for variational problems with stochastic parameters: application to heat conduction with variable Robin coefficient,
Structural stochastic responses determination via a sample-based stochastic finite element method,
A fast Monte-Carlo method with a reduced basis of control variates applied to uncertainty propagation and Bayesian estimation,
Probabilistic optimization of engineering system with prescribed target design in a reduced parameter space,
Mixed finite element analysis of lognormal diffusion and multilevel Monte Carlo methods,
A non-intrusive B-splines Bézier elements-based method for uncertainty propagation,
On spectral fuzzy-stochastic FEM for problems involving polymorphic geometrical uncertainties,
The multi-element probabilistic collocation method (ME-PCM): Error analysis and applications,
Covariance regularity and \(\mathcal {H}\)-matrix approximation for rough random fields,
Direct tensor-product solution of one-dimensional elliptic equations with parameter-dependent coefficients,
Recent developments in spectral stochastic methods for the numerical solution of stochastic partial differential equations,
A Monte Carlo approach to computing stiffness matrices arising in polynomial chaos approximations,
A relaxation approach to modeling the stochastic behavior of elastic materials,
Computational uncertainty quantification for some strongly degenerate parabolic convection-diffusion equations,
Adaptive reduced basis strategy based on goal oriented error assessment for stochastic problems,
Double-grid quadrature with interpolation-projection (DoGIP) as a novel discretisation approach: an application to FEM on simplexes,
Uncertainty quantification for a 1D thermo-hyperelastic coupled problem using polynomial chaos projection and \(p\)-FEMs,
Analysis and computation of the elastic wave equation with random coefficients,
A finite element method for elliptic problems with stochastic input data,
Explicit cost bounds of stochastic Galerkin approximations for parameterized PDEs with random coefficients,
Stochastic phase-field modeling of brittle fracture: computing multiple crack patterns and their probabilities,
Hybrid uncertainty analysis of functionally graded plates via multiple-imprecise-random-field modelling of uncertain material properties,
A stochastically and spatially adaptive parallel scheme for uncertain and nonlinear two-phase flow problems,
Fuzzy dynamics of multibody systems with polymorphic uncertainty in the material microstructure,
A two-level stochastic collocation method for semilinear elliptic equations with random coefficients,
Generalized spectral decomposition for stochastic nonlinear problems,
Transient response analysis of randomly parametrized finite element systems based on approximate balanced reduction,
Uncertainty quantification for systems of conservation laws,
Sparse high order FEM for elliptic sPDEs,
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems,
Convergence of adaptive stochastic collocation with finite elements,
A reduced polynomial chaos expansion method for the stochastic finite element analysis,
Application of hierarchical matrices for computing the Karhunen-Loève expansion,
The discontinuous Galerkin method for stochastic differential equations driven by additive noises,
Stochastic discontinuous Galerkin methods with low-rank solvers for convection diffusion equations,
Spectral approximation of solutions to the chemical master equation,
Urban planning image feature enhancement and simulation based on partial differential equation method,
Stochastic simulation of riser-sections with uncertain measured pressure loads and/or uncertain material properties,
A generalized spectral decomposition technique to solve a class of linear stochastic partial differential equations,
Stochastic model reduction for chaos representations,
Iterative algorithms for the post-processing of high-dimensional data,
Propagation of uncertainties in density-driven flow,
On surrogate learning for linear stability assessment of Navier-Stokes equations with stochastic viscosity.,
Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations