for both procedures
you may set the global variable
1 to indicate that you have already determined a possible optimum
This value has to be given in the
global interval variable
Note that this variable is used to store the minimum or the maximum of
the function to be minimized or maximized.
If no a-priori information on the extremum has been given
ALIAS_Has_Optimum will be set to 1 as soon as the algorithm
has a current estimation of the extremum.
If both the minimum and
maximum are looked for, then this variable will be used to store the
minimum while ALIAS_Optimum_Max will be used to store the
If you have indicated an a-priori estimation of the extremum it may
happen that the algorithm is unable to find a better extremum. In that
case the global
will be set to the extremum find by the algorithm (hence if no
a-priori information has been given ALIAS_Algo_Optimum
and ALIAS_Optimum will be the same).
The flag ALIAS_Algo_Has_Optimum will be set to 1 as soon as
has a current estimation of the extremum (which may be worse than the
optimum given a priori).
If the algorithm find a better optimum than the optimum given a priori
the flag ALIAS_Algo_Find_Optimum will be set to 1.
The location of the minimum and maximum can be found in the
interval matrix ALIAS_Vector_Optimum, the first line
indicating the location of the minimum.