Constructor Detail

• MultivariateVectorOptimizer

  protected MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)

  Deprecated. 

  Parameters:

  checker - Convergence checker.

Method Detail

• computeObjectiveValue

  protected double[] computeObjectiveValue(double[] params)

  Deprecated. 
  Computes the objective function value. This method must be called by subclasses to enforce the evaluation counter limit.

  Parameters:

  params - Point at which the objective function must be evaluated.

  Returns:

  the objective function value at the specified point.

  Throws:

  TooManyEvaluationsException - if the maximal number of evaluations (of the model vector function) is exceeded.

• optimize

  public PointVectorValuePair optimize(OptimizationData... optData)
                                throws TooManyEvaluationsException,
                                       DimensionMismatchException

  Deprecated. 
  Stores data and performs the optimization.

  The list of parameters is open-ended so that sub-classes can extend it with arguments specific to their concrete implementations.

  When the method is called multiple times, instance data is overwritten only when actually present in the list of arguments: when not specified, data set in a previous call is retained (and thus is optional in subsequent calls).

  Important note: Subclasses must override BaseOptimizer.parseOptimizationData(OptimizationData[]) if they need to register their own options; but then, they must also call super.parseOptimizationData(optData) within that method.

  Overrides:

  optimize in class BaseMultivariateOptimizer<PointVectorValuePair>

  Parameters:

  optData - Optimization data. In addition to those documented in BaseMultivariateOptimizer, this method will register the following data:

  • Target
  • Weight
  • ModelFunction

  Returns:

  a point/value pair that satisfies the convergence criteria.

  Throws:

  TooManyEvaluationsException - if the maximal number of evaluations is exceeded.

  DimensionMismatchException - if the initial guess, target, and weight arguments have inconsistent dimensions.

• getWeight

  public RealMatrix getWeight()

  Deprecated. 
  Gets the weight matrix of the observations.

  Returns:

  the weight matrix.

• getTarget

  public double[] getTarget()

  Deprecated. 
  Gets the observed values to be matched by the objective vector function.

  Returns:

  the target values.

• getTargetSize

  public int getTargetSize()

  Deprecated. 
  Gets the number of observed values.

  Returns:

  the length of the target vector.

• parseOptimizationData

  protected void parseOptimizationData(OptimizationData... optData)

  Deprecated. 
  Scans the list of (required and optional) optimization data that characterize the problem.

  Overrides:

  parseOptimizationData in class BaseMultivariateOptimizer<PointVectorValuePair>

  Parameters:

  optData - Optimization data. The following data will be looked for:

  • Target
  • Weight
  • ModelFunction