Pages that link to "Item:Q4902864"

The following pages link to Approximation of stochastic partial differential equations by a kernel-based collocation method (Q4902864):

Displaying 32 items.

• Optimal designs of positive definite kernels for scattered data approximation (Q285543) (← links)
• A shooting reproducing kernel Hilbert space method for multiple solutions of nonlinear boundary value problems (Q482696) (← links)
• Numerical solution of stochastic elliptic partial differential equations using the meshless method of radial basis functions (Q1653611) (← links)
• Meshless simulation of stochastic advection-diffusion equations based on radial basis functions (Q1654643) (← links)
• The modified dual reciprocity boundary elements method and its application for solving stochastic partial differential equations (Q1654737) (← links)
• Strong approximations for stochastic differential equations with boundary conditions (Q1915841) (← links)
• Reproducing kernels of Sobolev spaces via a Green kernel approach with differential operators and boundary operators (Q1955529) (← links)
• Generalized regularized least-squares approximation of noisy data with application to stochastic PDEs (Q2006304) (← links)
• Probabilistic integration: a role in statistical computation? (Q2325605) (← links)
• An iterative reproducing kernel method in Hilbert space for the multi-point boundary value problems (Q2406296) (← links)
• Numerical solution of time-dependent stochastic partial differential equations using RBF partition of unity collocation method based on finite difference (Q2420300) (← links)
• A trustable shape parameter in the kernel-based collocation method with application to pricing financial options (Q2662414) (← links)
• Numerical solution of two-dimensional stochastic time-fractional Sine-Gordon equation on non-rectangular domains using finite difference and meshfree methods (Q2662431) (← links)
• A polynomial-augmented RBF collocation method for fourth-order boundary value problems (Q2684162) (← links)
• Small sample spaces for Gaussian processes (Q2692515) (← links)
• A meshless method based on the dual reciprocity method for one-dimensional stochastic partial differential equations (Q2804376) (← links)
• Kernel-Based Collocation Methods Versus Galerkin Finite Element Methods for Approximating Elliptic Stochastic Partial Differential Equations (Q2838322) (← links)
• A Kernel-Based Collocation Method for Elliptic Partial Differential Equations With Random Coefficients (Q2926222) (← links)
• Multivariate Monte Carlo Approximation Based on Scattered Data (Q3303994) (← links)
• Kernel-Based Approximation Methods for Partial Differential Equations: Deterministic or Stochastic Problems? (Q4609813) (← links)
• Analysis on the stability of numerical schemes for a class of stochastic partial differential systems (Q4641552) (← links)
• The kernel regularized learning algorithm for solving Laplace equation with Dirichlet boundary (Q5052926) (← links)
• The approximate solution of one dimensional stochastic evolution equations by meshless methods (Q5080084) (← links)
• Kernel-based collocation methods for Heath–Jarrow–Morton models with Musiela parametrization (Q5086713) (← links)
• (Q5157994) (← links)
• Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment (Q5208054) (← links)
• Stabilized IMLS based element free Galerkin method for stochastic elliptic partial differential equations (Q5212584) (← links)
• Reproducing Kernel Hilbert Spaces for Parametric Partial Differential Equations (Q5269856) (← links)
• A Galerkin Radial Basis Function Method for Nonlocal Diffusion (Q5743949) (← links)
• Solution of time‐fractional stochastic nonlinear sine‐Gordon equation via finite difference and meshfree techniques (Q6139722) (← links)
• Images of Gaussian and other stochastic processes under closed, densely-defined, unbounded linear operators (Q6496340) (← links)
• Error analysis of kernel/GP methods for nonlinear and parametric PDEs (Q6648398) (← links)