samplingf: The sampling functions take (n, k) where n is the number of...

In optim.functions: Standard Benchmark Optimization Functions

Description

The sampling functions take (n, k) where n is the number of samples and k is the number of dimensions. The sampling functions should return samples in a 0-1 hypercube. sampling.func <- function(n, k)

Usage

lh.sample(n, k, ...)

cartesian.sample(n, k, ...)

random.sample(n, k, ...)

hexagonal.sample(n, k, ...)

torus.sample(n, k, ...)

sobol.sample(n, k, ...)

halton.sample(n, k, ...)

Arguments

n	The number of samples.
k	The number of dimensions.
...	Additional arguments for the sampling (e.g. seed).

optim.functions documentation built on May 2, 2019, 9:57 a.m.