Uses of Class pulse.search.statistics.OptimiserStatistic (PULsE 1.98 API)

Packages that use OptimiserStatistic
Package	Description
pulse	Contains some of the most frequently used classes, which did not seem to fit in any other packages.
pulse.math.filters
pulse.search
pulse.search.direction	Provides a list of `PathSolver`s and associated classes, which are used to determine the direction of the minimum of a specific `SearchTask` using an iterative approach.
pulse.search.direction.pso
pulse.search.statistics	PULsE Statistical Kit.
pulse.tasks	Introduces the `SearchTask`, which is the main actor in `PULsE`, and the `TaskManager`, a high-level class which among other functions manages loading and executing `SearchTask`s.

Uses of OptimiserStatistic in pulse

Methods in pulse that return OptimiserStatistic
Modifier and Type Method Description

OptimiserStatistic Response.getOptimiserStatistic()
Uses of OptimiserStatistic in pulse.math.filters

Constructors in pulse.math.filters with parameters of type OptimiserStatistic
Constructor Description

PolylineResponse(OptimiserStatistic os)
Uses of OptimiserStatistic in pulse.search

Methods in pulse.search that return OptimiserStatistic
Modifier and Type Method Description

OptimiserStatistic SimpleResponse.getOptimiserStatistic()

Methods in pulse.search with parameters of type OptimiserStatistic
Modifier and Type Method Description

void SimpleResponse.setOptimiserStatistic(OptimiserStatistic statistic)

Constructors in pulse.search with parameters of type OptimiserStatistic
Constructor Description

SimpleResponse(OptimiserStatistic rs)

Uses of OptimiserStatistic in pulse.search.direction

Methods in pulse.search.direction with parameters of type OptimiserStatistic
Modifier and Type	Method	Description
`boolean`	LMOptimiser.`compatibleWith(OptimiserStatistic os)`	The Levenberg-Marquardt optimiser will only accept ordinary least-squares as its objective function.
`boolean`	PathOptimiser.`compatibleWith(OptimiserStatistic os)`	Checks if this optimiser is compatible with the statistic passed to the method as its argument.By default, this will accept any `OptimiserStatistic`

Uses of OptimiserStatistic in pulse.search.direction.pso

Methods in pulse.search.direction.pso with parameters of type OptimiserStatistic
Modifier and Type	Method	Description
`boolean`	ParticleSwarmOptimiser.`compatibleWith(OptimiserStatistic os)`

Uses of OptimiserStatistic in pulse.search.statistics

Subclasses of OptimiserStatistic in pulse.search.statistics
Modifier and Type	Class	Description
`class`	`AbsoluteDeviations`	A statistical optimality criterion relying on absolute deviations or the L1 norm condition.
`class`	`RangePenalisedLeastSquares`	This is an experimental feature.
`class`	`RegularisedLeastSquares`	This is an experimental feature.
`class`	`SumOfSquares`	The standard optimality criterion of the L2 norm condition, or simply ordinary least squares.

Methods in pulse.search.statistics that return OptimiserStatistic
Modifier and Type	Method	Description
`OptimiserStatistic`	AbsoluteDeviations.`copy()`
`abstract OptimiserStatistic`	OptimiserStatistic.`copy()`
`OptimiserStatistic`	RangePenalisedLeastSquares.`copy()`
`OptimiserStatistic`	RegularisedLeastSquares.`copy()`
`OptimiserStatistic`	SumOfSquares.`copy()`
`OptimiserStatistic`	ModelSelectionCriterion.`getOptimiserStatistic()`

Methods in pulse.search.statistics with parameters of type OptimiserStatistic
Modifier and Type	Method	Description
`void`	ModelSelectionCriterion.`setOptimiserStatistic(OptimiserStatistic os)`

Constructors in pulse.search.statistics with parameters of type OptimiserStatistic
Constructor	Description
`AICStatistic(OptimiserStatistic os)`
`BICStatistic(OptimiserStatistic os)`
`ModelSelectionCriterion(OptimiserStatistic os)`
`OptimiserStatistic(OptimiserStatistic stat)`

Uses of OptimiserStatistic in pulse.tasks

Methods in pulse.tasks that return OptimiserStatistic
Modifier and Type Method Description

OptimiserStatistic Calculation.getOptimiserStatistic()

Methods in pulse.tasks with parameters of type OptimiserStatistic
Modifier and Type Method Description

void Calculation.setOptimiserStatistic(OptimiserStatistic os)