STK_SAMPLING_MAXIMINLHS generates a "maximin" LHS design

 CALL: X = stk_sampling_maximinlhs (N, DIM)

   generates a "maximin" Latin Hypercube Sample of size N in the
   DIM-dimensional hypercube [0; 1]^DIM. More precisely, NITER = 1000
   independent random LHS are generated, and the one with the biggest
   separation distance is returned.

 CALL: X = stk_sampling_maximinlhs (N, DIM, BOX)

   does the same thing in the DIM-dimensional hyperrectangle specified by the
   argument BOX, which is a 2 x DIM matrix where BOX(1, j) and BOX(2, j) are
   the lower- and upper-bound of the interval on the j^th coordinate.

 CALL: X = stk_sampling_maximinlhs (N, DIM, BOX, NITER)

   allows to change the number of independent random LHS that are used.

 See also: stk_mindist, stk_sampling_randomlhs