Pages that link to "Item:Q4785938"

The following pages link to The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (Q4785938):

Displaying 50 items.

• Iterative Polynomial Approximation Adapting to Arbitrary Probability Distribution (Q5261599) (← links)
• Efficient Bayesian Experimentation Using an Expected Information Gain Lower Bound (Q5269853) (← links)
• Optimal Partition in Terms of Independent Random Vectors of Any Non-Gaussian Vector Defined by a Set of Realizations (Q5269858) (← links)
• Polynomial Chaos Expansions for the Stability Analysis of Uncertain Delay Differential Equations (Q5269864) (← links)
• Surrogate Models for Oscillatory Systems Using Sparse Polynomial Chaos Expansions and Stochastic Time Warping (Q5269875) (← links)
• The stochastic Galerkin scaled boundary finite element method on random domain (Q5273352) (← links)
• A Generalized Sampling and Preconditioning Scheme for Sparse Approximation of Polynomial Chaos Expansions (Q5275042) (← links)
• A TWO-STRAIN EPIDEMIC MODEL WITH UNCERTAINTY IN THE INTERACTION (Q5299990) (← links)
• Sensitivity of two-dimensional spatially developing mixing layers with respect to uncertain inflow conditions (Q5304072) (← links)
• Error estimation in a stochastic finite element method in electrokinetics (Q5306450) (← links)
• Sensitivity analysis of large-eddy simulations to subgrid-scale-model parametric uncertainty using polynomial chaos (Q5308069) (← links)
• A computable evolution equation for the joint response-excitation probability density function of stochastic dynamical systems (Q5345927) (← links)
• Interpolation of Functions with Parameter Dependent Jumps by Transformed Snapshots (Q5348254) (← links)
• APPROXIMATING AND STABILIZING DYNAMIC RATE JACKSON NETWORKS WITH ABANDONMENT (Q5358102) (← links)
• Least Squares Approximation of Polynomial Chaos Expansions With Optimized Grid Points (Q5358956) (← links)
• A Numerical Comparison of Finite Difference and Finite Element Methods for a Stochastic Differential Equation with Polynomial Chaos (Q5372019) (← links)
• Stochastic Collocation via<i>l</i>₁-Minimisation on Low Discrepancy Point Sets with Application to Uncertainty Quantification (Q5372043) (← links)
• Application of gPCRK Methods to Nonlinear Random Differential Equations with Piecewise Constant Argument (Q5372102) (← links)
• A Preconditioned Low-Rank Projection Method with a Rank-Reduction Scheme for Stochastic Partial Differential Equations (Q5372656) (← links)
• A Multi-Index Quasi--Monte Carlo Algorithm for Lognormal Diffusion Problems (Q5372657) (← links)
• Scheduling Massively Parallel Multigrid for Multilevel Monte Carlo Methods (Q5372658) (← links)
• A Geometric Approach to Dynamical Model Order Reduction (Q5373924) (← links)
• PC Translation Models for Random Vectors and Multivariate Extremes (Q5376557) (← links)
• A finite element approximation of linear stochastic PDEs driven by multiplicative white noise (Q5459737) (← links)
• The stochastic piston problem (Q5460858) (← links)
• A Novel Reduced Spectral Function Approach for Finite Element Analysis of Stochastic Dynamical Systems (Q5496954) (← links)
• A Comparative Study of Uncertainty Propagation Methods in Structural Problems (Q5496959) (← links)
• Adaptive Wick--Malliavin Approximation to Nonlinear SPDEs with Discrete Random Variables (Q5502087) (← links)
• Exploring the Locally Low Dimensional Structure in Solving Random Elliptic PDEs (Q5737765) (← links)
• Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures (Q5738150) (← links)
• A Flexible Uncertainty Propagation Framework for General Multiphysics Systems (Q5741176) (← links)
• The Algebraic Method in Quadrature for Uncertainty Quantification (Q5741182) (← links)
• Dynamical Polynomial Chaos Expansions and Long Time Evolution of Differential Equations with Random Forcing (Q5741194) (← links)
• Non-intrusive Uncertainty Quantification with Sparse Grids for Multivariate Peridynamic Simulations (Q5743956) (← links)
• Hyperbolicity-Preserving and Well-Balanced Stochastic Galerkin Method for Shallow Water Equations (Q5857733) (← links)
• Is It Worthwhile Considering Orthogonality in Generalised Polynomial Chaos Expansions Applied to Solving Stochastic Models? (Q5860615) (← links)
• Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis (Q5864079) (← links)
• Weak Galerkin finite element methods for stochastic linear plane elasticity equations (Q5868460) (← links)
• Convergence of spectral likelihood approximation based on q-Hermite polynomials for Bayesian inverse problems (Q5869782) (← links)
• Operator Shifting for General Noisy Matrix Systems (Q5885822) (← links)
• On the Stability of Robust Dynamical Low-Rank Approximations for Hyperbolic Problems (Q5886844) (← links)
• Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
• Asymptotic-preserving schemes for multiscale physical problems (Q5887838) (← links)
• A Newton-Galerkin method for fluid flow exhibiting uncertain periodic dynamics (Q5890697) (← links)
• Dynamically Orthogonal Runge–Kutta Schemes with Perturbative Retractions for the Dynamical Low-Rank Approximation (Q6039249) (← links)
• Global sensitivity analysis on numerical solver parameters of particle-in-cell models in particle accelerator systems (Q6041017) (← links)
• Sparse polynomial chaos expansions for uncertainty quantification in thermal tomography (Q6049323) (← links)
• Design of linear parameter varying quadratic regulator in polynomial chaos framework (Q6054887) (← links)
• Transformers for modeling physical systems (Q6055222) (← links)
• Numerical simulation of aortic coarctations of different grades of severity: flow features and importance of outlet boundary conditions (Q6060744) (← links)