| Package | Description | 
|---|---|
| org.hipparchus.optim | 
 
  Generally, optimizers are algorithms that will either
   
minimize or
  maximize
  a scalar function, called the
  objective
  function. | 
| org.hipparchus.optim.nonlinear.vector.leastsquares | 
 This package provides algorithms that minimize the residuals
 between observations and model values. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
boolean | 
SimpleVectorValueChecker.converged(int iteration,
         PointVectorValuePair previous,
         PointVectorValuePair current)
Check if the optimization algorithm has converged considering the
 last two points. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
LeastSquaresBuilder | 
LeastSquaresBuilder.checkerPair(ConvergenceChecker<PointVectorValuePair> newChecker)
Configure the convergence checker. 
 | 
static ConvergenceChecker<LeastSquaresProblem.Evaluation> | 
LeastSquaresFactory.evaluationChecker(ConvergenceChecker<PointVectorValuePair> checker)
View a convergence checker specified for a  
PointVectorValuePair as one
 specified for an LeastSquaresProblem.Evaluation. | 
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