Examples of de.torstennahm.integrate.error.FastConvergenceEstimator

de.torstennahm.integrate.error.FastConvergenceEstimator
Provides an estimate based on the assumption that the integral values shows logarithmic convergence. By logarithmic convergence, we mean that log(error(n))=a-b*log(n), where n is the number of function evaluations, and a and b are parameters. @author Torsten Nahm

    
    synchronized (resultList) {
      resultList = new LinkedList<ResultEntry>();
      correctResult = Double.NaN;
      calls = 0;
      estimator = new FastConvergenceEstimator();
    }
    resultPanel.repaint();
  }

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      indexMap = new HashMap<Index, EstimateData>();
    }
    
    IntegrationResult integrate() throws IntegrationFailedException { 
      result = new SparseResult();
      estimator = new FastConvergenceEstimator();


      Visualizers.submitToList(visualizers, new Integrand(evaluator));
      Visualizers.submitToList(visualizers, new StartIntegration());
      
      activateIndex(zeroIndex);

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Related Classes of de.torstennahm.integrate.error.FastConvergenceEstimator

de.torstennahm.integrate.sparse.EstimateIntegrator$InternalIntegrator

de.torstennahm.integrate.visualize.ResultVisualizer

de.torstennahm.statistics.LinearRegression

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