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optim.functions

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.

Available functions

The following multi-D scalar functions are implemented. They are all defined on an arbitrary number of inputs.

• ackley
• rosenbrock
• schwefel
• sinc
• spherical
• zakharov

Sampling methods

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.

• Latin hypercube (lh.sample)
• Uniform random (random.sample)
• Cartesian lattice (cartesian.sample)
• Hexagonal lattice (hexagonal.sample)
• Toroidal sampling (torus.sample)
• Sobol sequence (sobol.sample)
• Halton sequence (halton.sample)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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