Second-Order Cone Programming for P-Spline Simulation Metamodeling
Not on the map. Why?
Abstract (arXiv)
This paper approximates simulation models by B-splines with a penalty on high-order finite differences of the coefficients of adjacent B-splines. The penalty prevents overfitting. The simulation output is assumed to be nonnegative. The nonnegative spline simulation metamodel is casted as a second-order cone programming model, which can be solved efficiently by modern optimization techniques. The method is implemented in MATLAB/GNU Octave.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 18 Jun 2015.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1.
1 paper.