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
)Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.