A maximum cost-performance sampling strategy for multi-fidelity PC-Kriging

Engineering

• Sample Point 100%
• Cost Performance 100%
• Computational Cost 66%
• Model Fidelity 66%
• Data Point 66%
• Numerical Example 33%
• Optimisation Problem 33%
• Singularities 33%
• Accuracy Improvement 33%
• Prediction Error 33%
• Airfoil 33%
• Input Sample 33%

Computer Science

• Computational Cost 100%
• Uncertainty Propagation 100%
• Optimization Problem 50%
• Numerical Example 50%
• Prediction Error 50%
• Density Function 50%
• Robust Optimization 50%
• Relative Advantage 50%