예제 #1
0
        private static void AppendDistribution(StringBuilder sb, RandomAlgebra.Distributions.BaseDistribution distribution)
        {
            double step = distribution.Step;
            var    inv  = System.Globalization.CultureInfo.CurrentCulture;


            AppendTableLine(sb, Languages.GetText("Argument"), Languages.GetText("PDFTitle"), Languages.GetText("CDFTitle"));

            for (int i = 0; i < distribution.Samples; i++)
            {
                double x = i * distribution.Step + distribution.MinX;

                if (i == distribution.Samples - 1)
                {
                    x = distribution.MaxX;
                }

                AppendTableLine(sb, x.ToString(inv), distribution.ProbabilityDensityFunction(x).ToString(inv), distribution.DistributionFunction(x).ToString(inv));
            }
        }
예제 #2
0
 public DisplayNameAndSettingType(Type settingType)
 {
     SettingsType = settingType;
     Name         = Languages.GetText(settingType.Name);
 }
예제 #3
0
 public static void PrepareGraph(ZedGraphControl pdf, ZedGraphControl cdf)
 {
     PrepareGraph(pdf, Languages.GetText("PDFTitle"));
     PrepareGraph(cdf, Languages.GetText("CDFTitle"));
 }
        private void Process()
        {
#if !DEBUG
            try
#endif
            {
                _warningsSource.Clear();

                string expression             = txtFunction.Text;
                bool   evaluateRandomsAlgebra = checkEvaluateRandomsAlgebra.Checked;
                bool   evaluateMonteCarlo     = checkEvaluateMonteCarlo.Checked;

                int samples     = (int)numericSamplesCount.Value;
                int experiments = (int)numericExperimentsCount.Value;
                int pockets     = (int)numericPocketsCount.Value;

                var univariate = DistributionFunctionArgument.CreateDictionary(_argumentsUnivariate);


                var multivariate = MultivariateDistributionFunctionArgument.CreateDictionary(_argumentsMultivariate);
                if (multivariate.Count == 0)
                {
                    multivariate = null;
                }

                Stopwatch sw = Stopwatch.StartNew();

                if (evaluateRandomsAlgebra)
                {
                    sw.Restart();
                    _distributionsPair.RandomsAlgebra = DistributionManager.RandomsAlgebraDistribution(expression, univariate, multivariate, samples);

                    if (_distributionsPair.RandomsAlgebra is ContinuousDistribution continuous)
                    {
                        //_distributionsPair.RandomsAlgebra = continuous.Discretize();
                    }


                    sw.Stop();

                    _distributionsPair.RandomsAlgebraTime = sw.Elapsed;
                }
                else
                {
                    _distributionsPair.RandomsAlgebra     = null;
                    _distributionsPair.RandomsAlgebraTime = null;
                }

                if (evaluateMonteCarlo)
                {
                    sw.Restart();
                    _distributionsPair.MonteCarlo = DistributionManager.MonteCarloDistribution(expression, univariate, multivariate, experiments, pockets);
                    sw.Stop();

                    _distributionsPair.MonteCarloTime = sw.Elapsed;
                }
                else
                {
                    _distributionsPair.MonteCarlo     = null;
                    _distributionsPair.MonteCarloTime = null;
                }

                FillResults();
                FillCharts();
            }
#if !DEBUG
            catch (Exception ex)
            {
                MessageBox.Show(ex.Message, Languages.GetText("Exception"), MessageBoxButtons.OK, MessageBoxIcon.Error);
            }
#endif
        }