A stochastic collocation method for elliptic partial differential equations with random input data

Keyphrases

• Random Input Data 100%
• Partial Differential Equations with Random Inputs 100%
• Elliptic Partial Differential Equations 100%
• Stochastic Collocation Method 100%
• Random Variables 100%
• Gauss Points 66%
• Probability Space 66%
• Monte Carlo Method 33%
• Numerical Examples 33%
• Exponential Convergence 33%
• Orthogonal Polynomials 33%
• Finite number 33%
• Galerkin Approximation 33%
• Second Moment 33%
• Tensor Product 33%
• Convergence Analysis 33%
• Forcing Term 33%
• Random Forcing 33%
• Elliptic Partial Differential Equations with Random Coefficients 33%
• Regularity Assumption 33%
• Variable Diffusivity 33%
• Deterministic Solution 33%
• Diffusivity Coefficient 33%
• Collocation 33%
• Stochastic Galerkin Method 33%

Mathematics

• Random Input 100%
• PDE 100%
• Stochastics 100%
• Input Data 100%
• Random Variable 60%
• Probability Space 40%
• Wide Range 20%
• Orthogonal Polynomial 20%
• Random Coefficient 20%
• Convergence Analysis 20%
• Tensor 20%
• Coefficient Term 20%
• Number 20%
• Diffusivity 20%
• Forcing Term 20%
• Numerical Example 20%
• Finite Number 20%
• Monte Carlo Approach 20%