TMtxOptimization Members

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TMtxOptimization Members

TMtxOptimization Class Legend Public Events Public Fields Public Methods Public Properties

The following tables list the members exposed by TMtxOptimization.

TMtxOptimization Class

	Name	Description
	GradHessProcedureEvent	Defines the gradient vector and Hessian matrix calculation routine.
	GradProcedureEvent	Defines the gradient vector calculation routine.
	RealFunctionEvent	Defines the function to be minimized.

	Name	Description
	InverseHess	This is InverseHess, a member of class TMtxOptimization.
	Iterations	This is Iterations, a member of class TMtxOptimization.
	MinValue	This is MinValue, a member of class TMtxOptimization.

	Name	Description
	Destroy	This is Destroy, a member of class TMtxOptimization.
	EditorClass	This is EditorClass, a member of class TMtxOptimization.
	Recalculate	Triggers TMtxOptimization recalculation.
	SetObjects	Define any additional Object constant parameters in the RealFunction.
	TMtxOptimization	This is the overview for the TMtxOptimization constructor overload.

Public Properties

	Name	Description
	AutoUpdate	Automatic recalculation.
	ConstantParameters	set/read the additional constants used in minimized function.
	Dirty	Becomes true after any of the properties have changed.
	GradHessProcedure	Defines the gradient vector and Hessian matrix calculation routine.
	GradProcedure	Defines the gradient vector calculation routine.
	GradTolerance	The precision for numeric gradient and/or Hessian matrix calculation.
	Lambda0	Initial lambda step used in Marquardt optimization algorithm.
	MaxIterations	maximum number of iterations allowed for minimum search.
	NumericGradMethod	Defines which gradient numerical approximation method will be used to to evaluate gradient.
	OptimizationMethod	Optimization algorithm used for minimum search.
	RealFunction	Defines the function to be minimized.
	SoftSearch	Internal line search algorithm.
	StopReason	Stop reason for optimization algorithm.
	Tolerance	Precision.
	VariableParameters	Set/read the variables in minimized function.
	Verbose	If not nil then the optimization method uses it for logging each optimization step.

TMtxOptimization Class, Legend, Public Events, Public Fields, Public Methods, Public Properties

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