Package org.apache.commons.math3.optimization.univariate

Interface BaseUnivariateOptimizer<FUNC extends UnivariateFunction>

Type Parameters:
FUNC - Type of the objective function to be optimized.
All Superinterfaces:
BaseOptimizer<UnivariatePointValuePair>
All Known Subinterfaces:
UnivariateOptimizer
All Known Implementing Classes:
BaseAbstractUnivariateOptimizer, BrentOptimizer, UnivariateMultiStartOptimizer
@Deprecated public interface BaseUnivariateOptimizer<FUNC extends UnivariateFunction> extends BaseOptimizer<UnivariatePointValuePair>
Deprecated.
As of 3.1 (to be removed in 4.0).
This interface is mainly intended to enforce the internal coherence of Commons-Math. Users of the API are advised to base their code on the following interfaces:
Since:
3.0

  • Method Details

    • optimize

      UnivariatePointValuePair optimize(int maxEval, FUNC f, GoalType goalType, double min, double max)
      Deprecated.
      Find an optimum in the given interval. An optimizer may require that the interval brackets a single optimum.
      Parameters:
      maxEval - Maximum number of function evaluations.
      f - Function to optimize.
      goalType - Type of optimization goal: either GoalType.MAXIMIZE or GoalType.MINIMIZE.
      min - Lower bound for the interval.
      max - Upper bound for the interval.
      Returns:
      a (point, value) pair where the function is optimum.
      Throws:
      TooManyEvaluationsException - if the maximum evaluation count is exceeded.
      ConvergenceException - if the optimizer detects a convergence problem.
      IllegalArgumentException - if min > max or the endpoints do not satisfy the requirements specified by the optimizer.

    • optimize

      UnivariatePointValuePair optimize(int maxEval, FUNC f, GoalType goalType, double min, double max, double startValue)
      Deprecated.
      Find an optimum in the given interval, start at startValue. An optimizer may require that the interval brackets a single optimum.
      Parameters:
      maxEval - Maximum number of function evaluations.
      f - Function to optimize.
      goalType - Type of optimization goal: either GoalType.MAXIMIZE or GoalType.MINIMIZE.
      min - Lower bound for the interval.
      max - Upper bound for the interval.
      startValue - Start value to use.
      Returns:
      a (point, value) pair where the function is optimum.
      Throws:
      TooManyEvaluationsException - if the maximum evaluation count is exceeded.
      ConvergenceException - if the optimizer detects a convergence problem.
      IllegalArgumentException - if min > max or the endpoints do not satisfy the requirements specified by the optimizer.
      NullArgumentException - if any argument is null.