Solver (bristlecone) | bristlecone

bristlecone

Solver Module

Namespace: Bristlecone.Optimisation
Assembly: Bristlecone.dll
Parent Module: Amoeba

Nelder–Mead downhill simplex

Types

Type	Description
Amoeba
Settings
SettingsT

Functions and values

Function or value	Description
`Default` Full Usage: `Default` Returns: `Settings`	Returns: `Settings`
`asTensorSettings s` Full Usage: `asTensorSettings s` Parameters: s : `Settings` Returns: `SettingsT`	s : `Settings` Returns: `SettingsT`
`centroid a` Full Usage: `centroid a` Parameters: a : `Amoeba` Returns: `TypedTensor<Vector, MeasureProduct<optim-space, MeasureOne>>`	a : `Amoeba` Returns: `TypedTensor<Vector, MeasureProduct<optim-space, MeasureOne>>`
`contract c w s` Full Usage: `contract c w s` Parameters: c : `Point` w : `Point` s : `SettingsT` Returns: `TypedTensor<'a, 'u>`	c : `Point` w : `Point` s : `SettingsT` Returns: `TypedTensor<'a, 'u>`
`evaluate f x` Full Usage: `evaluate f x` Parameters: f : `Objective` x : `Point` Returns: `float<MeasureProduct<-logL, MeasureOne>> * Point`	f : `Objective` x : `Point` Returns: `float<MeasureProduct<-logL, MeasureOne>> * Point`
`expand c r s` Full Usage: `expand c r s` Parameters: c : `Point` r : `Point` s : `SettingsT` Returns: `TypedTensor<'a, 'u>`	c : `Point` r : `Point` s : `SettingsT` Returns: `TypedTensor<'a, 'u>`
`reflect c w s` Full Usage: `reflect c w s` Parameters: c : `Point` w : `Point` s : `SettingsT` Returns: `TypedTensor<'a, 'u>`	c : `Point` w : `Point` s : `SettingsT` Returns: `TypedTensor<'a, 'u>`
`replace a (arg2, arg2)` Full Usage: `replace a (arg2, arg2)` Parameters: a : `Amoeba` arg1 : `float<MeasureProduct<-logL, MeasureOne>>` arg2 : `Point` Returns: `Amoeba`	a : `Amoeba` arg1 : `float<MeasureProduct<-logL, MeasureOne>>` arg2 : `Point` Returns: `Amoeba`
`shrink a f s` Full Usage: `shrink a f s` Parameters: a : `Amoeba` f : `Objective` s : `SettingsT` Returns: `Amoeba`	a : `Amoeba` f : `Objective` s : `SettingsT` Returns: `Amoeba`
`shrinkTowardsBest best x s` Full Usage: `shrinkTowardsBest best x s` Parameters: best : `Point` x : `Point` s : `SettingsT` Returns: `TypedTensor<'a, 'u>`	best : `Point` x : `Point` s : `SettingsT` Returns: `TypedTensor<'a, 'u>`
`solve settings rng writeOut endCondition domain startPoint f` Full Usage: `solve settings rng writeOut endCondition domain startPoint f` Parameters: settings : `Settings` rng : `Random` writeOut : `LogEvent -> unit` endCondition : `Solution list -> int<MeasureProduct<iteration, MeasureOne>> -> OptimStopReason` domain : `(float<MeasureProduct<optim-space, MeasureOne>> * float<MeasureProduct<optim-space, MeasureOne>> * Constraint)[]` startPoint : `'a option` f : `Objective` Returns: `Solution list`	settings : `Settings` rng : `Random` writeOut : `LogEvent -> unit` endCondition : `Solution list -> int<MeasureProduct<iteration, MeasureOne>> -> OptimStopReason` domain : `(float<MeasureProduct<optim-space, MeasureOne>> * float<MeasureProduct<optim-space, MeasureOne>> * Constraint)[]` startPoint : `'a option` f : `Objective` Returns: `Solution list`
`swarm settings rng logger level endCondition numberOfAmoeba paramBounds startPoint f oldLevels` Full Usage: `swarm settings rng logger level endCondition numberOfAmoeba paramBounds startPoint f oldLevels` Parameters: settings : `Settings` rng : `Random` logger : `LogEvent -> unit` level : `int` endCondition : `Solution list -> int<MeasureProduct<iteration, MeasureOne>> -> OptimStopReason` numberOfAmoeba : `int` paramBounds : `Domain` startPoint : `'a option` f : `Objective` oldLevels : `OptimisationTrace list` Returns: `OptimisationTrace list`	settings : `Settings` rng : `Random` logger : `LogEvent -> unit` level : `int` endCondition : `Solution list -> int<MeasureProduct<iteration, MeasureOne>> -> OptimStopReason` numberOfAmoeba : `int` paramBounds : `Domain` startPoint : `'a option` f : `Objective` oldLevels : `OptimisationTrace list` Returns: `OptimisationTrace list`
`toFloatLogL (l, p)` Full Usage: `toFloatLogL (l, p)` Parameters: l : `TypedTensor<Scalar, MeasureProduct<-logL, MeasureOne>>` p : `'a` Returns: `float<MeasureProduct<-logL, MeasureOne>> * 'a`	l : `TypedTensor<Scalar, MeasureProduct<-logL, MeasureOne>>` p : `'a` Returns: `float<MeasureProduct<-logL, MeasureOne>> * 'a`
`update a f s` Full Usage: `update a f s` Parameters: a : `Amoeba` f : `Objective` s : `SettingsT` Returns: `Amoeba`	a : `Amoeba` f : `Objective` s : `SettingsT` Returns: `Amoeba`
`valueOf (arg1, arg1)` Full Usage: `valueOf (arg1, arg1)` Parameters: arg0 : `float<MeasureProduct<-logL, MeasureOne>>` arg1 : `Point` Returns: `float<MeasureProduct<-logL, MeasureOne>>`	arg0 : `float<MeasureProduct<-logL, MeasureOne>>` arg1 : `Point` Returns: `float<MeasureProduct<-logL, MeasureOne>>`