These functions take a numeric matrix as input where each column corresponds to
a point and return a logical vector. The \(i\)th position of the latter is
TRUE
if the \(i\)th point is dominated by at least one other point for
dominated
. Likewise, the \(i\)th entry of nondominated
is TRUE
if it is not dominated by any other point.
dominated(x) nondominated(x)
x | [ |
---|
Logical vector where the \(i\)th component is TRUE
if
x[i]
is dominated or nondominated respectively and FALSE
otherwise.
Other Pareto-dominance checks:
dominates()
,
set_dominates()
,
which_dominated()
Other multi-objective tools:
dominates()
,
set_dominates()
,
which_dominated()
#> [1] FALSE TRUE TRUEnondominated(x)#> [1] TRUE FALSE FALSE