Amoeba (bristlecone)

Amoeba Module

Nelder Mead implementation Adapted from original at: https://github.com/mathias-brandewinder/Amoeba

Modules	Description
Solver

Function or value	Description
`single settings` Full Usage: `single settings` Parameters: settings : `Settings` Returns: `Optimiser<float>`	Optimise an objective function using a single downhill Nelder Mead simplex. settings : `Settings` Returns: `Optimiser<float>`
`swarm levels amoebaAtLevel settings` Full Usage: `swarm levels amoebaAtLevel settings` Parameters: levels : `int` amoebaAtLevel : `int` settings : `Settings` Returns: `Optimiser<float>`	Optimisation heuristic that creates a swarm of amoeba (Nelder-Mead) solvers. The swarm proceeds for `numberOfLevels` levels, constraining the starting bounds at each level to the 80th percentile of the current set of best likelihoods. levels : `int` amoebaAtLevel : `int` settings : `Settings` Returns: `Optimiser<float>`