maximin.augment {SFDesign} | R Documentation |
Augment a design by adding new design points that minimize the reciprocal distance criterion greedily
Description
This function augments a design by adding new design points one-at-a-time that minimize the reciprocal distance criterion.
Usage
maximin.augment(n, p, D.ini, candidate = NULL, r = 2 * p)
Arguments
n |
the size of the final design. |
p |
design dimension. |
D.ini |
initial design. |
candidate |
candidate points to choose from. The default candidates are Sobol points of size 100n. |
r |
the power parameter in the |
Details
maximin.augment
augments a design by adding new design points that minimize the reciprocal distance criterion (see maximin.crit
) greedily. In each iteration, the new design points is selected as the one from the candidate points that has the smallest sum of reciprocal distance to the existing design, that is, \bm x_{k+1} = \arg\min_{\bm x} \sum_{i=1}^k \frac{1}{\|\bm x - \bm x_i\|^r}
.
Value
the augmented design.
Examples
n.ini = 10
n = 20
p = 3
D.ini = maximinLHD(n.ini, p)$design
D = maximin.augment(n, p, D.ini)
[Package SFDesign version 0.1.2 Index]