Tell EGO optimizer new data point and criterion value.
opt=EGO_tell(opt,x,y)
mlist of type EGO.
new data point, row vector.
response (criterion) value at x.
updated optimizer (mlist of type EGO).
Tell EGO optimizer new data point and criterion value.
Jones D.R., Schonlau M. and Welch W.J. (1998), Efficient Global Optimization of Expensive Black-Box Functions, Journal of Global optimization, 13:, 455-492.
Pujol G., Le Riche R. (2007). Description de l'architecture Scilab pour le projet RNTL/OMD.