R: Standard Benchmark Optimization Functions

# Standard Benchmark Optimization Functions

## Documentation for package ‘optim.functions’ version 0.1

- DESCRIPTION file
- Package README

## Help Pages

optim.functions-package | optim.functions: A collection of standard optimization functions along with a standard interface to call and sample those functions.
cartesian.sample | 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)
get_info | Lookup information about a function by name
halton.sample | 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)
hexagonal.sample | 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)
lh.sample | 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)
optim.functions | optim.functions: A collection of standard optimization functions along with a standard interface to call and sample those functions.
random.sample | 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)
sample.func | Unified function sampling interface.
samplingf | 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)
sobol.sample | 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)
torus.sample | 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)