A number of standard optimization functions for R along with sampling
methods. There is a unified interface to sampling the functions. One can
run
sample.func("rosenbrok", n=250, k=5, method="lhs.sampling")
to get a 250 sample Latin hypercube in 5D of the rosenbrock
function.
The following multi-D scalar functions are implemented. They are all defined on an arbitrary number of inputs.
The following sampling methods are supported with their internal
names in parenthesis. With the exception of
hexagonal.sample these are all defined on an arbitrary
number of dimensions.
lh.sample)random.sample)cartesian.sample)hexagonal.sample)torus.sample)sobol.sample)halton.sample)