# TEGO

The `TMaster` subclass for EGO is `TEGO`. Its constructor has two standard arguments, a {{tds}} and 
a `TRun` pointer. Three kinds of {{tds}} can be passed to the class :

- An empty tds with the input {{tattr}} declared: initial points are random;

- A tds filled with a sampler where input {{tattr}} are declared: initial points are defined by user 
but they need to be evaluated.

- A tds filled with a launcher or relauncher where both input and output {{tattr}} are declared: 
initial filling phase can be skipped;

The `TEGO` objects have a method named `setSize` with two integer arguments: the first one, used in 
the case of an empty tds, gives the number of random points needed for the construction of the first 
{{surmod}}; the second one gives the maximum evaluation number of the expensive code.

Two different solvers can be defined, one for the {{surmod}} construction (using `setModeler` method) 
and one for the next point search (using `setSolver` method). If they are not defined a default 
solver is used.

Optimization loop ends when either:

- max number evaluation is reached;

- expected improvement objective is lower than a threshold;

- a Cholesky decomposition problem occurs in the {{surmod}} construction.

In these version, results are not filtered: all evaluated points are saved in the {{tds}}