Class LeastSquaresBuilder

Method Details

• build

  public LeastSquaresProblem build()

  Construct a LeastSquaresProblem from the data in this builder.

  Returns:

  a new LeastSquaresProblem.

• maxEvaluations

  public LeastSquaresBuilder maxEvaluations(int newMaxEvaluations)

  Configure the max evaluations.

  Parameters:

  newMaxEvaluations - the maximum number of evaluations permitted.

  Returns:

  this

• maxIterations

  public LeastSquaresBuilder maxIterations(int newMaxIterations)

  Configure the max iterations.

  Parameters:

  newMaxIterations - the maximum number of iterations permitted.

  Returns:

  this

• checker

  public LeastSquaresBuilder checker(ConvergenceChecker<LeastSquaresProblem.Evaluation> newChecker)

  Configure the convergence checker.

  Parameters:

  newChecker - the convergence checker.

  Returns:

  this

• checkerPair

  public LeastSquaresBuilder checkerPair(ConvergenceChecker<PointVectorValuePair> newChecker)

  Configure the convergence checker.

  This function is an overloaded version of checker(ConvergenceChecker).

  Parameters:

  newChecker - the convergence checker.

  Returns:

  this

• model

  public LeastSquaresBuilder model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian)

  Configure the model function.

  Parameters:

  value - the model function value

  jacobian - the Jacobian of value

  Returns:

  this

• model

  public LeastSquaresBuilder model(MultivariateJacobianFunction newModel)

  Configure the model function.

  Parameters:

  newModel - the model function value and Jacobian

  Returns:

  this

• target

  public LeastSquaresBuilder target(RealVector newTarget)

  Configure the observed data.

  Parameters:

  newTarget - the observed data.

  Returns:

  this

• target

  public LeastSquaresBuilder target(double[] newTarget)

  Configure the observed data.

  Parameters:

  newTarget - the observed data.

  Returns:

  this

• start

  public LeastSquaresBuilder start(RealVector newStart)

  Configure the initial guess.

  Parameters:

  newStart - the initial guess.

  Returns:

  this

• start

  public LeastSquaresBuilder start(double[] newStart)

  Configure the initial guess.

  Parameters:

  newStart - the initial guess.

  Returns:

  this

• weight

  public LeastSquaresBuilder weight(RealMatrix newWeight)

  Configure the weight matrix.

  Parameters:

  newWeight - the weight matrix

  Returns:

  this

• lazyEvaluation

  public LeastSquaresBuilder lazyEvaluation(boolean newValue)

  Configure whether evaluation will be lazy or not.

  Parameters:

  newValue - Whether to perform lazy evaluation.

  Returns:

  this object.

  Since:

  3.4

• parameterValidator

  public LeastSquaresBuilder parameterValidator(ParameterValidator newValidator)

  Configure the validator of the model parameters.

  Parameters:

  newValidator - Parameter validator.

  Returns:

  this object.

  Since:

  3.4