Crate benchfun

The funky crate provides functionality for several functions that are commonly used to benchmark new optimization algorithms. More specifically, function is part of a struct that contains the objective function as well as other important information (bounds of the canonical problem, the known minimum value, and a function that returns the global minimizer.

Modules

multi
single

Traits

Bounded	This is a trait that ensures consistent implementation of bounded benchmark functions
Constrained	This is a trait that ensures consistent implementation of constrained benchmark functions
FixedDimensional	This is a trait that ensures consistent implementation of benchmark functions with fixed dimensionality
MultiObjective	This is a trait that ensures consistent implementation of multi-objective benchmark functions
NDimensional	This is a trait that ensures consistent implementation of N-dimensional benchmark functions
SingleObjective	This is a trait that ensures consistent implementation of single objective benchmark functions
UnBounded	This is a trait that ensures consistent implementation of unbounded benchmark functions
UnConstrained	This is a trait that ensure consistent implementation of unconstrained benchmark functions