# 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`

)