The following pages link to (Q3997987):
Displaying 50 items.
- A hyperbolicity-preserving discontinuous stochastic Galerkin scheme for uncertain hyperbolic systems of equations (Q2297075) (← links)
- Proper orthogonal decomposition method for multiscale elliptic PDEs with random coefficients (Q2297081) (← links)
- Iterative construction of Gaussian process surrogate models for Bayesian inference (Q2301102) (← links)
- Differential scheme-based stochastic micromechanical framework for saturated concrete repaired by EDM (Q2302103) (← links)
- Variational Monte Carlo -- bridging concepts of machine learning and high-dimensional partial differential equations (Q2305540) (← links)
- Second order linear differential equations with analytic uncertainties: stochastic analysis via the computation of the probability density function (Q2306405) (← links)
- Quantifying the uncertainty in a hyperelastic soft tissue model with stochastic parameters (Q2306756) (← links)
- Uncertainty propagation using Wiener-linear B-spline wavelet expansion (Q2308476) (← links)
- Fokker-Planck linearization for non-Gaussian stochastic elastoplastic finite elements (Q2308577) (← links)
- A stochastic scaled boundary finite element method (Q2308583) (← links)
- A multiscale flux basis for mortar mixed discretizations of Stokes-Darcy flows (Q2308747) (← links)
- Efficient Markov chain Monte Carlo for combined subset simulation and nonlinear finite element analysis (Q2308754) (← links)
- \textit{A posteriori} error estimation for the steady Navier-Stokes equations in random domains (Q2308762) (← links)
- Bayesian sparse polynomial chaos expansion for global sensitivity analysis (Q2309099) (← links)
- Multi-index stochastic collocation for random PDEs (Q2309190) (← links)
- Accelerating Monte Carlo estimation with derivatives of high-level finite element models (Q2309798) (← links)
- Bayesian updating with subset simulation using artificial neural networks (Q2309810) (← links)
- Asynchronous space-time domain decomposition method with localized uncertainty quantification (Q2310024) (← links)
- Stochastic variational multiscale analysis of the advection-diffusion equation: advective-diffusive regime and multi-dimensional problems (Q2310045) (← links)
- A GPU domain decomposition solution for spectral stochastic finite element method (Q2310111) (← links)
- Acceleration of uncertainty propagation through Lagrange multipliers in partitioned stochastic method (Q2310251) (← links)
- Stochastic Galerkin framework with locally reduced bases for nonlinear two-phase transport in heterogeneous formations (Q2310319) (← links)
- Least squares polynomial chaos expansion: a review of sampling strategies (Q2310855) (← links)
- Extreme value oriented random field discretization based on an hybrid polynomial chaos expansion -- Kriging approach (Q2310861) (← links)
- Regularity analysis of metamaterial Maxwell's equations with random coefficients and initial conditions (Q2310929) (← links)
- Scalable domain decomposition solvers for stochastic PDEs in high performance computing (Q2310941) (← links)
- A stochastic asymptotic-preserving scheme for the bipolar semiconductor Boltzmann-Poisson system with random inputs and diffusive scalings (Q2311481) (← links)
- Estimation of exciton diffusion lengths of organic semiconductors in random domains (Q2311495) (← links)
- Finite dimensional models for random functions (Q2311513) (← links)
- Sensitivity-driven adaptive construction of reduced-space surrogates (Q2312009) (← links)
- Gradient-based optimization for regression in the functional tensor-train format (Q2312177) (← links)
- Uncertainty quantification for stochastic dynamical systems using time-dependent stochastic bases (Q2313499) (← links)
- Progress in the development of a new lattice Boltzmann method (Q2313688) (← links)
- An efficient computational method for statistical moments of Burger's equation with random initial conditions (Q2314689) (← links)
- Efficient stochastic Galerkin methods for Maxwell's equations with random inputs (Q2316216) (← links)
- Sparse approximate solutions to stochastic Galerkin equations (Q2317495) (← links)
- Solving continuous models with dependent uncertainty: a computational approach (Q2319338) (← links)
- Data-driven uncertainty quantification for predictive flow and transport modeling using support vector machines (Q2321952) (← links)
- A comparative study of numerical approaches to risk assessment of contaminant transport (Q2323558) (← links)
- A low-rank inexact Newton-Krylov method for stochastic eigenvalue problems (Q2324348) (← links)
- Non-intrusive tensor reconstruction for high-dimensional random PDEs (Q2324350) (← links)
- Dynamic computation for rigid-flexible multibody systems with hybrid uncertainty of randomness and interval (Q2325837) (← links)
- A dual-layer dimension-wise fuzzy finite element method for structural analysis with epistemic uncertainties (Q2328945) (← links)
- A stochastic spectral finite element method for solution of faulting-induced wave propagation in materially random continua without explicitly modeled discontinuities (Q2329611) (← links)
- On stochastic investigation of flow problems using the viscous Burgers' equation as an example (Q2333737) (← links)
- A study of hyperbolicity of kinetic stochastic Galerkin system for the isentropic Euler equations with uncertainty (Q2335865) (← links)
- Dynamic analysis of the nonlinear chaotic system with multistochastic disturbances (Q2336588) (← links)
- Numerical procedures for random differential equations (Q2336988) (← links)
- A spectral approach for fuzzy uncertainty propagation in finite element analysis (Q2350517) (← links)
- Residual-based a posteriori error estimation for stochastic magnetostatic problems (Q2352297) (← links)
