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
Package: stk