Configuring complex systems using interpolated performance functions and polyharmonic splines

A processor-implemented method, comprising:

• obtaining first performance data associated with a function to be approximated based on a set of inputs associated with a region of the function;
• generating an approximation of the function based on fitting one or more interpolated performance functions to the first performance data, the one or more interpolated performance functions comprising polyharmonic splines;
• identifying, based on the approximation of the function, a set of regions to estimate using subsequently obtained performance data associated with the function;
• obtaining second performance data for each region in the identified set of regions based on the approximation of the function;
• and
• when the approximation of the function meets a threshold performance level based on the second performance data, taking one or more actions based on the approximation of the function.

A processing system, comprising:

• means for obtaining first performance data associated with a function to be approximated based on a set of inputs associated with a region of the function;
• means for generating an approximation of the function based on fitting one or more interpolated performance functions to the first performance data, the one or more interpolated performance functions comprising polyharmonic splines;
• means for identifying, based on the approximation of the function, a set of regions to estimate using subsequently obtained performance data associated with the function;
• means for obtaining second performance data for each region in the identified set of regions based on the approximation of the function;
• and
• means for taking, when the approximation of the function meets a threshold performance level based on the second performance data, one or more actions based on the approximation of the function.