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.
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