Ejemplo n.º 1
0
        public void ConstantTest()
        {
            var in1 = new ModelInput("in1") { Distribution = Distribution.InitGaussian(10, 0.31) };
            var op1 = new ModelFormula("op1") { Formula = "in1 * 3" };

            var model = new Model();
            model.Add(in1, op1);
            model.Solve();

            Utils.AssertIsInRange(op1.Output.GetMean(), 30, 0.5);
        }
Ejemplo n.º 2
0
        public static void Main(string[] args)
        {
            var in1 = new ModelInput("in1") { Distribution = Distribution.InitGaussian(10, 0.31) };
            var in2 = new ModelInput("in2") { Distribution = Distribution.InitGaussian(3, 0.31) };
            var in3 = new ModelInput("in3") { Distribution = Distribution.InitGaussian(5, 0.61) };
            var in4 = new ModelInput("c") { Distribution = Distribution.InitConstant(10) };
            var op1 = new ModelFormula("op1") { Formula = "in1 * in2" };
            var op2 = new ModelFormula("op2") { Formula = "op1 * in3 * c" };

            var model = new Model();
            model.Add(in1, in2, op1, in3, in4, op2);
            model.Solve();


            Console.WriteLine("Result: mean: {0} stddev: {1}", op2.Output.GetMean(), op2.Output.GetStdDeviation());
            Console.WriteLine("Result histogram:");
            PrintDistroChart(op2.Output.RawItems);
        }