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.