Pages that link to "Item:Q2470267"

The following pages link to Global and local optimization using radial basis function response surface models (Q2470267):

Displaying 13 items.

• Global optimization with spline constraints: a new branch-and-bound method based on B-splines (Q300751) (← links)
• On the design of optimization strategies based on global response surface approximation models (Q811880) (← links)
• Improved strategies for radial basis function methods for global optimization (Q868637) (← links)
• Computational reduction for parametrized PDEs: strategies and applications (Q1932780) (← links)
• Global optimization via inverse distance weighting and radial basis functions (Q2023666) (← links)
• Global optimization based on active preference learning with radial basis functions (Q2051251) (← links)
• Active preference-based optimization for human-in-the-loop feature selection (Q2157850) (← links)
• Global fitting of the response surface via estimating multiple contours of a simulator (Q2301224) (← links)
• Integration of expert knowledge into radial basis function surrogate models (Q2358065) (← links)
• Sequential approximate optimization using radial basis function network for engineering optimization (Q2443397) (← links)
• Global Approximation for a Simulation Model Based onthe RBF Response Surface Set (Q2965070) (← links)
• A radial basis function method for global optimization (Q5940040) (← links)
• Realistic pattern formations on surfaces by adding arbitrary roughness (Q6554474) (← links)