Uses of Class
pulse.search.GeneralTask

Packages that use GeneralTask

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 PathSolvers 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.linear	Provides classes that are able to search for the minimum of a scalar function of a vector variable that is unimodal on a specific Segment.
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 SearchTasks.
pulse.tasks.processing	Lists classes for storing runtime information, storing and ordering of final execution results, storing intermediate results of execution to check convergence.

Uses of GeneralTask in pulse

Methods in pulse with parameters of type GeneralTask

Modifier and Type	Method	Description
double	Response.objectiveFunction(GeneralTask task)	Calculates the value of the objective function used to identify the current state of the optimiser.

Uses of GeneralTask in pulse.math.filters

Subclasses of GeneralTask in pulse.math.filters

Modifier and Type	Class	Description
class	PolylineOptimiser

Uses of GeneralTask in pulse.search

Subclasses of GeneralTask in pulse.search

Modifier and Type	Class	Description
class	SimpleOptimisationTask<T extends PropertyHolder & Optimisable>	Generic optimisation class.

Methods in pulse.search with parameters of type GeneralTask

Modifier and Type	Method	Description
double	SimpleResponse.objectiveFunction(GeneralTask task)

Uses of GeneralTask in pulse.search.direction

Methods in pulse.search.direction with parameters of type GeneralTask

Modifier and Type	Method	Description
void	ComplexPath.configure(GeneralTask task)	In addition to the superclass method, resets the Hessian to an Identity matrix.
void	GradientGuidedPath.configure(GeneralTask t)	Resets the Path: calculates the current gradient and the direction of search.Sets the minimum point to 0.0.
Vector	GradientBasedOptimiser.gradient(GeneralTask task)	Calculates the Vector gradient of the target function (the sum of squared residuals, SSR, for this task.
GradientGuidedPath	CompositePathOptimiser.initState(GeneralTask t)	Creates a new Path instance for storing the gradient, direction, and minimum point for this PathSolver.
GradientGuidedPath	LMOptimiser.initState(GeneralTask t)
abstract IterativeState	PathOptimiser.initState(GeneralTask t)	Creates a new Path suitable for this PathSolver
GradientGuidedPath	SteepestDescentOptimiser.initState(GeneralTask t)	Creates a new Path instance for storing the gradient, direction, and minimum point for this PathSolver.
boolean	CompositePathOptimiser.iteration(GeneralTask task)
boolean	LMOptimiser.iteration(GeneralTask task)
abstract boolean	PathOptimiser.iteration(GeneralTask task)	This method sets out the basic algorithm for estimating the minimum of the target function, which is defined as the sum of squared residuals (SSR), or the deviations of the model solution (a DifferenceScheme used to solve the Problem for this task) from the empirical values (the ExperimentalData).
RectangularMatrix	LMOptimiser.jacobian(GeneralTask task)	Calculates the Jacobian of the model function given as a discrete set of time-signal values.
void	BFGSOptimiser.prepare(GeneralTask task)	Calculated the gradient at the end of this step.
void	LMOptimiser.prepare(GeneralTask task)	Calculates the Jacobian, if needed, evaluates the gradient and the Hessian matrix.
abstract void	PathOptimiser.prepare(GeneralTask task)	Defines a set of procedures to be run at the end of the search iteration.
void	SR1Optimiser.prepare(GeneralTask task)	Calculated the gradient at the end of this step.
void	SteepestDescentOptimiser.prepare(GeneralTask task)	Calculates the gradient value at the end of each step.

Constructors in pulse.search.direction with parameters of type GeneralTask

Constructor	Description
ComplexPath(GeneralTask task)
GradientGuidedPath(GeneralTask t)
IterativeState(GeneralTask t)

Uses of GeneralTask in pulse.search.direction.pso

Methods in pulse.search.direction.pso with parameters of type GeneralTask

Modifier and Type	Method	Description
void	Particle.evaluate(GeneralTask t)
void	SwarmState.evaluate(GeneralTask t)
IterativeState	ParticleSwarmOptimiser.initState(GeneralTask t)
boolean	ParticleSwarmOptimiser.iteration(GeneralTask task)	Iterates the swarm.
void	ParticleSwarmOptimiser.prepare(GeneralTask task)
void	SwarmState.prepare(GeneralTask t)

Uses of GeneralTask in pulse.search.linear

Methods in pulse.search.linear with parameters of type GeneralTask

Modifier and Type	Method	Description
double	GoldenSectionOptimiser.linearStep(GeneralTask task)	Let a and b be the start and end point of a Segment, initially defined by the super.domain(IndexedVector,Vector) method.
abstract double	LinearOptimiser.linearStep(GeneralTask task)	Finds the minimum of the target function on the domain Segment.
double	WolfeOptimiser.linearStep(GeneralTask task)	This uses a combination of the Wolfe conditions for conducting an inexact line search with the domain partitioning using a random number generator.

Uses of GeneralTask in pulse.search.statistics

Methods in pulse.search.statistics with parameters of type GeneralTask

Modifier and Type	Method	Description
void	ResidualStatistic.calculateResiduals(GeneralTask task)
void	AbsoluteDeviations.evaluate(GeneralTask t)	Calculates the L1 norm statistic, which simply sums up the absolute values of residuals.
void	AndersonDarlingTest.evaluate(GeneralTask t)
void	EmptyTest.evaluate(GeneralTask t)
void	KSTest.evaluate(GeneralTask t)
void	ModelSelectionCriterion.evaluate(GeneralTask t)
void	RangePenalisedLeastSquares.evaluate(GeneralTask t)
void	RegularisedLeastSquares.evaluate(GeneralTask t)
void	RSquaredTest.evaluate(GeneralTask t)	Calculates the coefficient of determination, or simply the $R^2$ value.
abstract void	Statistic.evaluate(GeneralTask t)
void	SumOfSquares.evaluate(GeneralTask t)	Calculates the sum of squared deviations using curve as reference.
boolean	AndersonDarlingTest.test(GeneralTask task)	This uses the SSJ statistical library to calculate the Anderson-Darling test with the input parameters formed by the task residuals and a normal distribution with zero mean and variance equal to the residuals variance.
boolean	EmptyTest.test(GeneralTask task)	Always returns true
boolean	KSTest.test(GeneralTask task)
abstract boolean	NormalityTest.test(GeneralTask task)
boolean	RSquaredTest.test(GeneralTask task)

Uses of GeneralTask in pulse.tasks

Subclasses of GeneralTask in pulse.tasks

Modifier and Type	Class	Description
class	SearchTask	A SearchTask is the most important class in PULsE.

Methods in pulse.tasks with parameters of type GeneralTask

Modifier and Type	Method	Description
double	Calculation.objectiveFunction(GeneralTask task)	This will use the current DifferenceScheme to solve the Problem for this SearchTask and calculate the SSR value showing how well (or bad) the calculated solution describes the ExperimentalData.

Uses of GeneralTask in pulse.tasks.processing

Methods in pulse.tasks.processing with parameters of type GeneralTask

Modifier and Type	Method	Description
void	Buffer.fill(GeneralTask t, int bufferElement)	(Over)writes a buffer cell corresponding to the bufferElement with the current set of parameters of SearchTask and the search statistic.