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

Mathematics

• Random Input 100%
• PDE 100%
• Sparse Grids 100%
• Stochastics 100%
• Input Data 100%
• Monte Carlo 66%
• Tensor 33%
• Number 33%
• Random Variable 33%
• Total Number 16%
• Random Coefficient 16%
• Discrete Solution 16%
• Product Space 16%
• Curse of Dimensionality 16%
• Final Estimate 16%
• Coefficient Term 16%
• Forcing Term 16%
• Approximate Solution 16%
• Monte Carlo Approach 16%
• Error Estimate 16%

Engineering

• Input Data 100%
• Partial Differential Equation 100%
• Random Variable ξ 66%
• Collocation Point 33%
• Error Estimate 33%
• Computational Efficiency 33%
• Tensor Product 33%
• Dimensionality 33%
• Approximate Solution 33%
• Monte Carlo Approach 33%
• Input Space 33%
• Demonstrates 33%
• Sparse Type 33%
• Finite Element Method 33%
• Product Space 33%

Keyphrases

• Lq Norm 20%