Example description

nag_glopt_bnd_mcs_solve (e05jbc) Example Program Results
(User-supplied callback objfun, first invocation.)

(objfun was just called for the first time)
(User-supplied callback monit, first invocation.)

*** Begin monitoring information ***

Values controlling initial splitting of a box:
**
In dimension     1
Extent of initialization list in this dimension =    3
Initialization points in this dimension:
LIST(i, 1:numpts[i - 1]) = -3.00000  0.00000  3.00000
Initial point in this dimension: LIST(i,    2)
**
In dimension     2
Extent of initialization list in this dimension =    3
Initialization points in this dimension:
LIST(i, 1:numpts[i - 1]) = -3.00000  0.00000  3.00000
Initial point in this dimension: LIST(i,    2)
Total sub-boxes =   228
Total function evaluations (rounded to nearest 20) =   200
Total function evaluations used in local search (rounded
  to nearest 15) =    90
Total points used in local search =    13
Total sweeps through levels =    12
Total splits by init. list =     5
Lowest level with nonsplit boxes =     7
Number of candidate minima in the 'shopping basket' =     2
Shopping basket:
xbaskt(  1,:) = -1.34740  0.22828
xbaskt(  2,:) =  0.20452 -1.62553
Best point:
xbest =  0.22828 -1.62553

*** End monitoring information ***

Final objective value =    -6.55113
Global optimum x =   0.22828 -1.62553