Interface LeastSquaresOptimizer.Optimum

    • Method Detail

      • getEvaluations

        int getEvaluations()
        Get the number of times the model was evaluated in order to produce this optimum.
        Returns:
        the number of model (objective) function evaluations
      • getIterations

        int getIterations()
        Get the number of times the algorithm iterated in order to produce this optimum. In general least squares it is common to have one evaluation per iterations.
        Returns:
        the number of iterations
      • of

        static LeastSquaresOptimizer.Optimum of​(LeastSquaresProblem.Evaluation value,
                                                int evaluations,
                                                int iterations)
        Create a new optimum from an evaluation and the values of the counters.
        Parameters:
        value - the function value
        evaluations - number of times the function was evaluated
        iterations - number of iterations of the algorithm
        Returns:
        a new optimum based on the given data.