示例#1
0
        public void FromDouble()
        {
            Fraction32 ZERO = (Fraction32)(0);

            Fraction32 A = (Fraction32)(1d / 2d);

            Assert.IsTrue(A != ZERO);

            Fraction32 B = (Fraction32)(-123d / 9d);

            Assert.IsTrue(B != ZERO);

            Fraction32 C = (Fraction32)(7d / 12d);

            Assert.IsTrue(C != ZERO);

            Fraction32 D = (Fraction32)(14d / 15d);

            Assert.IsTrue(D != ZERO);
        }
示例#2
0
        static void Main(string[] args)
        {
            Console.WriteLine("You are runnning the Mathematics example.");
            Console.WriteLine("==========================================");
            Console.WriteLine();

            #region Fraction

            // Fractions need some work... commenting out for now

            //Console.WriteLine("  Fractions-----------------------------------");
            //Console.WriteLine();
            //Fraction128 fraction1 = new Fraction128(2.5);
            //Console.WriteLine("    fraction1 = " + fraction1);
            //Fraction128 fraction2 = new Fraction128(3.75);
            //Console.WriteLine("    fraction2 = " + fraction2);
            //Console.WriteLine("    fraction1 + fraction2 = " + (fraction1 + fraction2));
            //Console.WriteLine("    fraction2 - fraction1 = " + (fraction1 - fraction2));
            //Console.WriteLine("    fraction1 * 2 = " + (fraction1 * 2));
            //Console.WriteLine("    fraction1 / 2 = " + (fraction1 / 2));
            //Console.WriteLine("    fraction1 > fraction2 = " + (fraction1 > fraction2));
            //Console.WriteLine("    fraction1 == fraction2 = " + (fraction1 == fraction2));
            //Console.WriteLine("    fraction1 * 2 == fraction2 = " + (fraction1 * 2 == fraction2));
            //Console.WriteLine("    fraction1 != fraction2 = " + (fraction1 != fraction2));
            //Console.WriteLine();

            #endregion

            #region Basic Operations

            Console.WriteLine("  Basics----------------------------------------------");
            Console.WriteLine();

            // Variables
            Fraction32 clamp_a          = (Fraction32)(-123d / 9d);
            Fraction32 clamp_b          = (Fraction32)(7d / 12d);
            Fraction32 clamp_c          = (Fraction32)(14d / 15d);
            double[]   summation_values = new double[]
            {
                random.NextDouble(),
                       random.NextDouble(),
                       random.NextDouble(),
                       random.NextDouble(),
            };

            // Examples
            Console.WriteLine("    Negate(7): " + Negate(7));
            Console.WriteLine("    Add(7, 7): " + Add(7m, 7m));

            Console.Write("    Σ (" + string.Format("{0:0.00}", summation_values[0]));
            for (int i = 1; i < summation_values.Length; i++)
            {
                Console.Write(", " + string.Format("{0:0.00}", summation_values[i]));
            }
            // multiple parameter add overload example (most math functions have this overload)
            Console.WriteLine(") = " + string.Format("{0:0.00}", Add(summation_values.ToStepper())));

            Console.WriteLine("    Subtract(14, 7): " + Subtract(14f, 7f));
            Console.WriteLine("    Multiply(7, 7): " + Multiply((long)7, (long)7));
            Console.WriteLine("    Divide(14, 7): " + Divide((short)14, (short)7));
            Console.WriteLine("    AbsoluteValue(-7): " + AbsoluteValue((double)-7));
            Console.WriteLine("    Clamp(" + clamp_a + ", " + clamp_b + ", " + clamp_c + "): " + Clamp(clamp_a, clamp_b, clamp_c));
            Console.WriteLine("    Maximum(1, 2, 3): " + Maximum(1, 2, 3));
            Console.WriteLine("    Minimum(1, 2, 3): " + Minimum(1, 2, 3));
            Console.WriteLine("    LessThan(1, 2): " + LessThan((Fraction128)1, (Fraction128)2));
            Console.WriteLine("    GreaterThan(1, 2): " + GreaterThan((Fraction64)1, (Fraction64)2));
            Console.WriteLine("    Compare(7, 7): " + Compare((Fraction32)7, (Fraction32)7));
            Console.WriteLine("    Equate(7, 6): " + Equal(7, 6));
            Console.WriteLine("    EqualsLeniency(2, 1, 1): " + EqualLeniency(2, 1, 1));


            Console.WriteLine();

            #endregion

            #region More Numeric Mathematics

            Console.WriteLine("  More Numeric Mathematics----------------------------");
            Console.WriteLine();

            // Variables
            int   prime_check   = random.Next(1, 100000);
            int[] gcf           = new int[] { random.Next(1, 500) * 2, random.Next(1, 500) * 2, random.Next(1, 500) * 2 };
            int[] lcm           = new int[] { random.Next(1, 500) * 2, random.Next(1, 500) * 2, random.Next(1, 500) * 2 };
            int   prime_factors = random.Next(1, 100000);
            int   check         = random.Next(1, 1000);

            // Examples
            Console.WriteLine("    IsPrime(" + prime_check + "): " + IsPrime(prime_check));
            Console.WriteLine("    IsNegative(" + check + "): " + IsNegative(check));
            Console.WriteLine("    IsNonNegative(" + check + "): " + IsNonNegative(check));
            Console.WriteLine("    IsPositive(" + check + "): " + IsPositive(check));
            Console.WriteLine("    IsOdd(" + check + "): " + IsOdd(check));
            Console.WriteLine("    IsEven(" + check + "): " + IsEven(check));
            Console.WriteLine("    GCF(" + gcf[0] + ", " + gcf[1] + ", " + gcf[2] + "): " + GreatestCommonFactor(gcf.ToStepper()));
            Console.WriteLine("    LCM(" + lcm[0] + ", " + lcm[1] + ", " + lcm[2] + "): " + LeastCommonMultiple(lcm.ToStepper()));
            Console.Write("    Prime Factors(" + prime_factors + "): ");
            FactorPrimes(prime_factors)(i => Console.Write(i + " "));
            Console.WriteLine();
            Console.WriteLine("    7!: " + Factorial(7));
            Console.WriteLine("    7! / (3! * 4!): " + Combinations(7, new int[] { 3, 4 }));
            Console.WriteLine("    7 choose 2: " + BinomialCoefficient(7, 2));

            Console.WriteLine();

            #endregion

            #region Trigonometry

            Console.WriteLine("  Trigonometry -----------------------------------------");
            Console.WriteLine();

            double         randomDouble = random.NextDouble();
            Angle <double> randomAngle  = new Angle <double>(randomDouble, Angle.Units.Radians);

            Console.WriteLine("    SinTaylorSeries(" + randomAngle + ") = " + SineTaylorSeries(randomAngle));
            Console.WriteLine("    CosinTaylorSeries(" + randomAngle + ") = " + CosineTaylorSeries(randomAngle));

            Console.WriteLine();

            #endregion

            #region Statistics

            Console.WriteLine("  Statistics-----------------------------------------");
            Console.WriteLine();

            // Variables/Data
            double   mode_temp       = random.NextDouble() * 100;
            double[] statistics_data = new double[random.Next(5, 7)];
            for (int i = 0; i < statistics_data.Length; i++)
            {
                if (i == 1 || i == statistics_data.Length - 1)
                {
                    statistics_data[i] = mode_temp;
                }
                else
                {
                    statistics_data[i] = random.NextDouble() * 100;
                }
            }
            string stat_data_string = "    data: [" + string.Format("{0:0.00}", statistics_data[0]);
            for (int i = 1; i < statistics_data.Length; i++)
            {
                stat_data_string += ", " + string.Format("{0:0.00}", statistics_data[i]);
            }
            stat_data_string += "]";
            Console.WriteLine(stat_data_string);
            Console.WriteLine();

            // Examples
            Console.WriteLine("    Mean(data): " + string.Format("{0:0.00}", Mean(statistics_data.ToStepper())));
            Console.WriteLine("    Median(data): " + string.Format("{0:0.00}", Median(statistics_data.ToStepper())));

            // I need to fix the "Mode" function
            //Console.WriteLine("    Mode(data): ");
            //Heap<Link<double, int>> modes = Mode(statistics_data.Stepper());
            //while (modes.Count > 0)
            //{
            //    Link<double, int> link = modes.Dequeue();
            //    Console.WriteLine("      Point: " + string.Format("{0:0.00}", link._1) + " Occurences: " + link._2);
            //}
            //Console.WriteLine();

            Console.WriteLine("    Geometric Mean(data): " + string.Format("{0:0.00}", GeometricMean(statistics_data.ToStepper())));
            Range(out double min, out double max, statistics_data.ToStepper());
            Console.WriteLine("    Range(data): " + string.Format("{0:0.00}", min) + "-" + string.Format("{0:0.00}", max));
            Console.WriteLine("    Variance(data): " + string.Format("{0:0.00}", Variance(statistics_data.ToStepper())));
            Console.WriteLine("    Standard Deviation(data): " + string.Format("{0:0.00}", StandardDeviation(statistics_data.ToStepper())));
            Console.WriteLine("    Mean Deviation(data): " + string.Format("{0:0.00}", MeanDeviation(statistics_data.ToStepper())));
            double[] quatiles = Quantiles(4, statistics_data.ToStepper());
            Console.Write("    Quartiles(data):");
            foreach (double i in quatiles)
            {
                Console.Write(string.Format(" {0:0.00}", i));
            }

            Console.WriteLine();
            Console.WriteLine();

            #endregion

            #region Linear Algebra

            Console.WriteLine("  Linear Algebra------------------------------------");
            Console.WriteLine();

            // Vector Construction
            Vector <double> V = new Vector <double>(4, i => random.NextDouble());

            Console.WriteLine("    Vector<double> V: ");
            ConsoleWrite(V);

            Console.WriteLine("    Normalize(V): ");
            ConsoleWrite(V.Normalize());

            // Vctor Negation
            Console.WriteLine("    -V: ");
            ConsoleWrite(-V);

            // Vector Addition
            Console.WriteLine("    V + V (aka 2V): ");
            ConsoleWrite(V + V);

            // Vector Multiplication
            Console.WriteLine("    V * 2: ");
            ConsoleWrite(V * 2);

            // Vector Division
            Console.WriteLine("    V / 2: ");
            ConsoleWrite(V / 2);

            // Vector Dot Product
            Console.WriteLine("    V dot V: " + Vector <double> .DotProduct(V, V));
            Console.WriteLine();

            // Vector Cross Product
            Vector <double> V3 = new Vector <double>(3, i => random.NextDouble());

            Console.WriteLine("    Vector<double> V3: ");
            ConsoleWrite(V3);
            Console.WriteLine("    V3 cross V3: ");
            ConsoleWrite(Vector <double> .CrossProduct(V3, V3));

            // Matrix Construction
            Matrix <double> M = new Matrix <double>(4, 4, (row, column) => random.NextDouble());

            Console.WriteLine("    Matrix<double>.Identity(4, 4): ");
            ConsoleWrite(Matrix <double> .FactoryIdentity(4, 4));

            Console.WriteLine("    Matrix<double> M: ");
            ConsoleWrite(M);

            // Matrix Negation
            Console.WriteLine("    -M: ");
            ConsoleWrite(-M);

            // Matrix Addition
            Console.WriteLine("    M + M (aka 2M): ");
            ConsoleWrite(M + M);

            // Matrix Subtraction
            Console.WriteLine("    M - M: ");
            ConsoleWrite(M - M);

            // Matrix Multiplication
            Console.WriteLine("    M * M (aka M ^ 2): ");
            ConsoleWrite(M * M);

            // Matrix Power
            Console.WriteLine("    M ^ 3: ");
            ConsoleWrite(M ^ 3);

            // Matrix Multiplication
            Console.WriteLine("    minor(M, 1, 1): ");
            ConsoleWrite(M.Minor(1, 1));

            // Matrix Reduced Row Echelon
            Console.WriteLine("    ref(M): ");
            ConsoleWrite(Matrix <double> .Echelon(M));

            // Matrix Reduced Row Echelon
            Console.WriteLine("    rref(M): ");
            ConsoleWrite(Matrix <double> .ReducedEchelon(M));

            // Matrix Determinant
            Console.WriteLine("    determinent(M): " + string.Format("{0:0.00}", Matrix <double> .Determinent(M)));
            Console.WriteLine();

            // Matrix-Vector Multiplication
            Console.WriteLine("    M * V: ");
            ConsoleWrite(M * V);

            //// Matrix Lower-Upper Decomposition
            //Matrix<double> l = null, u = null;
            //Matrix<double>.DecomposeLowerUpper(M, ref l, ref u); // this method is probably bugged... working on it
            //Console.WriteLine("    Lower-Upper Decomposition:");
            //Console.WriteLine();
            //Console.WriteLine("       lower(M):");
            //ConsoleWrite(l);
            //Console.WriteLine("       upper(M):");
            //ConsoleWrite(u);

            // Matrix Inverse
            Matrix <double> inverse = M.Inverse();
            Console.WriteLine("    Inverse(M):");
            ConsoleWrite(inverse);

            // Quaternion Construction
            Quaternion <double> Q = new Quaternion <double>(
                random.NextDouble(),
                random.NextDouble(),
                random.NextDouble(),
                1.0d);

            Console.WriteLine("    Quaternion<double> Q: ");
            ConsoleWrite(Q);

            // Quaternion Addition
            Console.WriteLine("    Q + Q (aka 2Q):");
            ConsoleWrite(Q + Q);

            // Quaternion-Vector Rotation
            Console.WriteLine("    Q * V3 * Q':");
            // Note: the vector should be normalized on the 4th component
            // for a proper rotation. (I did not do that)
            ConsoleWrite(V3.RotateBy(Q));

            #endregion

            #region Convex Optimization

            //Console.WriteLine("  Convex Optimization-----------------------------------");
            //Console.WriteLine();

            //double[,] tableau = new double[,]
            //{
            //	{ 0.0, -0.5, -3.0, -1.0, -4.0, },
            //	{ 40.0, 1.0, 1.0, 1.0, 1.0, },
            //	{ 10.0, -2.0, -1.0, 1.0, 1.0, },
            //	{ 10.0, 0.0, 1.0, 0.0, -1.0, },
            //};

            //Console.WriteLine("    tableau (double): ");
            //ConsoleWrite(tableau); Console.WriteLine();

            //Vector<double> simplex_result = LinearAlgebra.Simplex(ref tableau);

            //Console.WriteLine("    simplex(tableau): ");
            //ConsoleWrite(tableau); Console.WriteLine();

            //Console.WriteLine("    resulting maximization: ");
            //ConsoleWrite(simplex_result);

            #endregion

            #region Symbolics

            Console.WriteLine("  Symbolics---------------------------------------");
            Console.WriteLine();

            Expression <Func <double, double> > expression1 = (x) => 2d * (x / 7d);
            var symbolicExpression1 = Symbolics.Parse(expression1);
            Console.WriteLine("    Expression 1: " + symbolicExpression1);
            Console.WriteLine("      Simplified: " + symbolicExpression1.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression1.Substitute("x", 5d).Simplify());

            Expression <Func <double, double> > expression2 = (x) => 2d * x / 7d;
            var symbolicExpression2 = Symbolics.Parse(expression2);
            Console.WriteLine("    Expression 2: " + symbolicExpression2);
            Console.WriteLine("      Simplified: " + symbolicExpression2.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression2.Substitute("x", 5d).Simplify());

            Expression <Func <double, double> > expression3 = (x) => 2d - x + 7d;
            var symbolicExpression3 = Symbolics.Parse(expression3);
            Console.WriteLine("    Expression 3: " + symbolicExpression3);
            Console.WriteLine("      Simplified: " + symbolicExpression3.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression3.Substitute("x", 5d).Simplify());

            Expression <Func <double, double> > expression4 = (x) => 2d + (x - 7d);
            var symbolicExpression4 = Symbolics.Parse(expression4);
            Console.WriteLine("    Expression 4: " + symbolicExpression4);
            Console.WriteLine("      Simplified: " + symbolicExpression4.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression4.Substitute("x", 5d).Simplify());

            //Expression<Func<double, double, double, double>> expression5 = (x, y, z) => Power(x, 3d) + 2d * x * y * Power(z, 2d) - y * z + 1d;
            //var symbolicExpression5 = Symbolics.Parse(expression5);
            //Console.WriteLine("    Expression 5: " + symbolicExpression5);
            //Console.WriteLine("      Simplified: " + symbolicExpression5.Simplify());
            //Console.WriteLine("      Plugin(x = 5): " + symbolicExpression5.Substitute("x", 5d).Simplify());

            var symbolicExpression6 = Symbolics.Parse <double>("2 * (7 / [x])", double.TryParse);
            Console.WriteLine("    Expression 6: " + symbolicExpression6);
            Console.WriteLine("      Simplified: " + symbolicExpression6.Simplify());
            Symbolics.Expression symbolicExpression6Simplified = symbolicExpression6.Substitute("x", 9d).Simplify();
            Console.WriteLine("      Plugin(x = 9): " + symbolicExpression6Simplified);

            var symbolicExpression7 = Symbolics.Parse <double>("10 + 8 * (7 / [x]) + 7 ^ 2", double.TryParse);
            Console.WriteLine("    Expression 7: " + symbolicExpression7);
            Console.WriteLine("      Simplified: " + symbolicExpression7.Simplify());
            Console.WriteLine("      Plugin(x = 11): " + symbolicExpression7.Substitute("x", 11d).Simplify());
            Console.WriteLine();

            #endregion

            Console.WriteLine();
            Console.WriteLine("=================================================");
            Console.WriteLine("Example Complete...");
            Console.ReadLine();
        }
示例#3
0
        static void Main()
        {
            Console.WriteLine("You are runnning the Mathematics example.");
            Console.WriteLine("==========================================");
            Console.WriteLine();

            #region Fraction

            // Fractions need some work... commenting out for now

            //Console.WriteLine("  Fractions-----------------------------------");
            //Console.WriteLine();
            //Fraction128 fraction1 = new Fraction128(2.5);
            //Console.WriteLine("    fraction1 = " + fraction1);
            //Fraction128 fraction2 = new Fraction128(3.75);
            //Console.WriteLine("    fraction2 = " + fraction2);
            //Console.WriteLine("    fraction1 + fraction2 = " + (fraction1 + fraction2));
            //Console.WriteLine("    fraction2 - fraction1 = " + (fraction1 - fraction2));
            //Console.WriteLine("    fraction1 * 2 = " + (fraction1 * 2));
            //Console.WriteLine("    fraction1 / 2 = " + (fraction1 / 2));
            //Console.WriteLine("    fraction1 > fraction2 = " + (fraction1 > fraction2));
            //Console.WriteLine("    fraction1 == fraction2 = " + (fraction1 == fraction2));
            //Console.WriteLine("    fraction1 * 2 == fraction2 = " + (fraction1 * 2 == fraction2));
            //Console.WriteLine("    fraction1 != fraction2 = " + (fraction1 != fraction2));
            //Console.WriteLine();

            #endregion

            #region Basic Operations

            Console.WriteLine("  Basics----------------------------------------------");
            Console.WriteLine();

            // Variables
            Fraction32 clamp_a          = (Fraction32)(-123d / 9d);
            Fraction32 clamp_b          = (Fraction32)(7d / 12d);
            Fraction32 clamp_c          = (Fraction32)(14d / 15d);
            double[]   summation_values = new double[4];
            summation_values.Format(x => random.NextDouble());

            // Examples
            Console.WriteLine("    Negate(7): " + Negate(7));
            Console.WriteLine("    Add(7, 7): " + Add(7m, 7m));
            Console.WriteLine("    Σ (" + string.Join(", ", summation_values.Select(x => Format(x))) + ") = " + Add(summation_values.ToStepper()));
            Console.WriteLine("    Subtract(14, 7): " + Subtract(14f, 7f));
            Console.WriteLine("    Multiply(7, 7): " + Multiply((long)7, (long)7));
            Console.WriteLine("    Divide(14, 7): " + Divide((short)14, (short)7));
            Console.WriteLine("    AbsoluteValue(-7): " + AbsoluteValue((double)-7));
            Console.WriteLine("    Clamp(" + clamp_a + ", " + clamp_b + ", " + clamp_c + "): " + Clamp(clamp_a, clamp_b, clamp_c));
            Console.WriteLine("    Maximum(1, 2, 3): " + Maximum(1, 2, 3));
            Console.WriteLine("    Minimum(1, 2, 3): " + Minimum(1, 2, 3));
            Console.WriteLine("    LessThan(1, 2): " + LessThan((Fraction128)1, (Fraction128)2));
            Console.WriteLine("    GreaterThan(1, 2): " + GreaterThan((Fraction64)1, (Fraction64)2));
            Console.WriteLine("    Compare(7, 7): " + Compare((Fraction32)7, (Fraction32)7));
            Console.WriteLine("    Equate(7, 6): " + Equal(7, 6));
            Console.WriteLine("    EqualsLeniency(2, 1, 1): " + EqualLeniency(2, 1, 1));


            Console.WriteLine();

            #endregion

            #region More Numeric Mathematics

            Console.WriteLine("  More Numeric Mathematics----------------------------");
            Console.WriteLine();

            int random1 = random.Next(1, 100000);
            Console.WriteLine("    IsPrime(" + random1 + "): " + IsPrime(random1));

            int random2 = random.Next(1, 1000);
            Console.WriteLine("    IsNegative(" + random2 + "): " + IsNegative(random2));

            int random3 = random.Next(1, 1000);
            Console.WriteLine("    IsNonNegative(" + random3 + "): " + IsNonNegative(random3));

            int random4 = random.Next(1, 1000);
            Console.WriteLine("    IsPositive(" + random4 + "): " + IsPositive(random4));

            int random5 = random.Next(1, 1000);
            Console.WriteLine("    IsOdd(" + random5 + "): " + IsOdd(random5));

            int random6 = random.Next(1, 1000);
            Console.WriteLine("    IsEven(" + random6 + "): " + IsEven(random6));

            int[] randomInts1 = new int[3];
            randomInts1.Format(x => random.Next(1, 500) * 2);
            Console.WriteLine("    GCF(" + string.Join(", ", randomInts1) + "): " + GreatestCommonFactor(randomInts1.ToStepper()));

            int[] randomInts2 = new int[3];
            randomInts2.Format(x => random.Next(1, 500) * 2);
            Console.WriteLine("    LCM(" + string.Join(", ", randomInts2) + "): " + LeastCommonMultiple(randomInts2.ToStepper()));

            int random7 = random.Next(6, 10);
            Console.WriteLine("    " + random7 + "!: " + Factorial(random7));

            Console.WriteLine("    7! / (3! * 4!): " + Combinations(7, new int[] { 3, 4 }));

            Console.WriteLine("    7 choose 2: " + BinomialCoefficient(7, 2));

            int random8 = random.Next(1, 100000);
            Console.Write("    Prime Factors(" + random8 + "): ");
            FactorPrimes(random8, i => Console.Write(i + " "));
            Console.WriteLine();

            Console.WriteLine();

            #endregion

            #region Trigonometry

            Console.WriteLine("  Trigonometry -----------------------------------------");
            Console.WriteLine();

            double         randomDouble = random.NextDouble();
            Angle <double> randomAngle  = new Angle <double>(randomDouble, Angle.Units.Radians);

            double sineTaylorSeries = SineTaylorSeries(randomAngle);
            Console.WriteLine("    SinTaylorSeries(" + randomAngle + ") = " + Format(sineTaylorSeries));

            double cosineTaylorSeries = CosineTaylorSeries(randomAngle);
            Console.WriteLine("    CosinTaylorSeries(" + randomAngle + ") = " + Format(cosineTaylorSeries));

            Console.WriteLine();

            #endregion

            #region Statistics

            Console.WriteLine("  Statistics-----------------------------------------");
            Console.WriteLine();

            // Data Generation
            double   mode_temp = random.NextDouble() * 100;
            double[] dataArray = new double[random.Next(5, 7)];
            dataArray.Format(x => random.NextDouble() * 100);

            // Lets copy a value in the array to ensure there is at least one
            // duplicate (so the "Mode" example will has something to show)
            dataArray[dataArray.Length - 1] = dataArray[0];

            // Print Data
            Console.WriteLine("    data: [" + string.Join(", ", dataArray.Select(x => Format(x))) + "]");
            Console.WriteLine();

            Stepper <double> data = dataArray.ToStepper();

            // Examples

            double mean = Mean(data);
            Console.WriteLine("    Mean(data): " + Format(mean));

            double median = Median(data);
            Console.WriteLine("    Median(data): " + Format(median));

            //// Here is an example if you just want the values in a list
            //
            //IList<double> modes = new ListArray<double>();
            //Mode(data, x => modes.Add(x));
            //Console.WriteLine("    Mode(data): " +
            //	(modes.Count > 0
            //	? string.Join(",", modes.Select(x => Format(x)))
            //	: "None"));

            bool noModes = true;
            Console.Write("    Mode(data): ");
            Mode(data,
                 Step.Gaps <double>(
                     x => { Console.Write(Format(x)); noModes = false; },
                     x => Console.Write(", ")));
            if (noModes)
            {
                Console.Write("None");
            }
            Console.WriteLine();

            double geometricMean = GeometricMean(data);
            Console.WriteLine("    Geometric Mean(data): " + Format(geometricMean));

            Range(out double min, out double max, data);
            Console.WriteLine("    Range(data): " + Format(min) + "-" + Format(max));

            double variance = Variance(dataArray.ToStepper());
            Console.WriteLine("    Variance(data): " + Format(variance));

            double standardDeviation = StandardDeviation(data);
            Console.WriteLine("    Standard Deviation(data): " + Format(standardDeviation));

            double meanDeviation = MeanDeviation(data);
            Console.WriteLine("    Mean Deviation(data): " + Format(meanDeviation));

            double[] quatiles = Quantiles(4, data);
            Console.Write("    Quartiles(data):");
            foreach (double i in quatiles)
            {
                Console.Write(string.Format(" {0:0.00}", i));
            }

            Console.WriteLine();
            Console.WriteLine();

            #endregion

            #region Linear Algebra

            Console.WriteLine("  Linear Algebra------------------------------------");
            Console.WriteLine();

            // Vector Construction
            Vector <double> V = new Vector <double>(4, i => random.NextDouble());

            Console.WriteLine("    Vector<double> V: ");
            ConsoleWrite(V);

            Console.WriteLine("    Normalize(V): ");
            ConsoleWrite(V.Normalize());

            // Vctor Negation
            Console.WriteLine("    -V: ");
            ConsoleWrite(-V);

            // Vector Addition
            Console.WriteLine("    V + V (aka 2V): ");
            ConsoleWrite(V + V);

            // Vector Multiplication
            Console.WriteLine("    V * 2: ");
            ConsoleWrite(V * 2);

            // Vector Division
            Console.WriteLine("    V / 2: ");
            ConsoleWrite(V / 2);

            // Vector Dot Product
            Console.WriteLine("    V dot V: " + Vector <double> .DotProduct(V, V));
            Console.WriteLine();

            // Vector Cross Product
            Vector <double> V3 = new Vector <double>(3, i => random.NextDouble());

            Console.WriteLine("    Vector<double> V3: ");
            ConsoleWrite(V3);
            Console.WriteLine("    V3 cross V3: ");
            ConsoleWrite(Vector <double> .CrossProduct(V3, V3));

            // Matrix Construction
            Matrix <double> M = new Matrix <double>(4, 4, (row, column) => random.NextDouble());

            Console.WriteLine("    Matrix<double>.Identity(4, 4): ");
            ConsoleWrite(Matrix <double> .FactoryIdentity(4, 4));

            Console.WriteLine("    Matrix<double> M: ");
            ConsoleWrite(M);

            // Matrix Negation
            Console.WriteLine("    -M: ");
            ConsoleWrite(-M);

            // Matrix Addition
            Console.WriteLine("    M + M (aka 2M): ");
            ConsoleWrite(M + M);

            // Matrix Subtraction
            Console.WriteLine("    M - M: ");
            ConsoleWrite(M - M);

            // Matrix Multiplication
            Console.WriteLine("    M * M (aka M ^ 2): ");
            ConsoleWrite(M * M);

            // Matrix Power
            Console.WriteLine("    M ^ 3: ");
            ConsoleWrite(M ^ 3);

            // Matrix Multiplication
            Console.WriteLine("    minor(M, 1, 1): ");
            ConsoleWrite(M.Minor(1, 1));

            // Matrix Reduced Row Echelon
            Console.WriteLine("    ref(M): ");
            ConsoleWrite(Matrix <double> .Echelon(M));

            // Matrix Reduced Row Echelon
            Console.WriteLine("    rref(M): ");
            ConsoleWrite(Matrix <double> .ReducedEchelon(M));

            // Matrix Determinant
            Console.WriteLine("    determinent(M): " + string.Format("{0:0.00}", Matrix <double> .Determinent(M)));
            Console.WriteLine();

            // Matrix-Vector Multiplication
            Console.WriteLine("    M * V: ");
            ConsoleWrite(M * V);

            //// Matrix Lower-Upper Decomposition
            //Matrix<double> l = null, u = null;
            //Matrix<double>.DecomposeLowerUpper(M, ref l, ref u); // this method is probably bugged... working on it
            //Console.WriteLine("    Lower-Upper Decomposition:");
            //Console.WriteLine();
            //Console.WriteLine("       lower(M):");
            //ConsoleWrite(l);
            //Console.WriteLine("       upper(M):");
            //ConsoleWrite(u);

            // Matrix Inverse
            Matrix <double> inverse = M.Inverse();
            Console.WriteLine("    Inverse(M):");
            ConsoleWrite(inverse);

            // Quaternion Construction
            Quaternion <double> Q = new Quaternion <double>(
                random.NextDouble(),
                random.NextDouble(),
                random.NextDouble(),
                1.0d);

            Console.WriteLine("    Quaternion<double> Q: ");
            ConsoleWrite(Q);

            // Quaternion Addition
            Console.WriteLine("    Q + Q (aka 2Q):");
            ConsoleWrite(Q + Q);

            // Quaternion-Vector Rotation
            Console.WriteLine("    Q * V3 * Q':");
            // Note: the vector should be normalized on the 4th component
            // for a proper rotation. (I did not do that)
            ConsoleWrite(V3.RotateBy(Q));

            #endregion

            #region Convex Optimization

            //Console.WriteLine("  Convex Optimization-----------------------------------");
            //Console.WriteLine();

            //double[,] tableau = new double[,]
            //{
            //	{ 0.0, -0.5, -3.0, -1.0, -4.0, },
            //	{ 40.0, 1.0, 1.0, 1.0, 1.0, },
            //	{ 10.0, -2.0, -1.0, 1.0, 1.0, },
            //	{ 10.0, 0.0, 1.0, 0.0, -1.0, },
            //};

            //Console.WriteLine("    tableau (double): ");
            //ConsoleWrite(tableau); Console.WriteLine();

            //Vector<double> simplex_result = LinearAlgebra.Simplex(ref tableau);

            //Console.WriteLine("    simplex(tableau): ");
            //ConsoleWrite(tableau); Console.WriteLine();

            //Console.WriteLine("    resulting maximization: ");
            //ConsoleWrite(simplex_result);

            #endregion

            #region Symbolics

            Console.WriteLine("  Symbolics---------------------------------------");
            Console.WriteLine();

            Expression <Func <double, double> > expression1 = (x) => 2d * (x / 7d);
            var symbolicExpression1 = Symbolics.Parse(expression1);
            Console.WriteLine("    Expression 1: " + symbolicExpression1);
            Console.WriteLine("      Simplified: " + symbolicExpression1.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression1.Substitute("x", 5d).Simplify());

            Expression <Func <double, double> > expression2 = (x) => 2d * x / 7d;
            var symbolicExpression2 = Symbolics.Parse(expression2);
            Console.WriteLine("    Expression 2: " + symbolicExpression2);
            Console.WriteLine("      Simplified: " + symbolicExpression2.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression2.Substitute("x", 5d).Simplify());

            Expression <Func <double, double> > expression3 = (x) => 2d - x + 7d;
            var symbolicExpression3 = Symbolics.Parse(expression3);
            Console.WriteLine("    Expression 3: " + symbolicExpression3);
            Console.WriteLine("      Simplified: " + symbolicExpression3.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression3.Substitute("x", 5d).Simplify());

            Expression <Func <double, double> > expression4 = (x) => 2d + (x - 7d);
            var symbolicExpression4 = Symbolics.Parse(expression4);
            Console.WriteLine("    Expression 4: " + symbolicExpression4);
            Console.WriteLine("      Simplified: " + symbolicExpression4.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression4.Substitute("x", 5d).Simplify());

            var symbolicExpression6 = Symbolics.Parse <double>("2 * (7 / [x])");
            Console.WriteLine("    Expression 6: " + symbolicExpression6);
            Console.WriteLine("      Simplified: " + symbolicExpression6.Simplify());
            Symbolics.Expression symbolicExpression6Simplified = symbolicExpression6.Substitute("x", 9d).Simplify();
            Console.WriteLine("      Plugin(x = 9): " + symbolicExpression6Simplified);

            var symbolicExpression7 = Symbolics.Parse <double>("10 + 8 * (7 / [x]) + 7 ^ 2");
            Console.WriteLine("    Expression 7: " + symbolicExpression7);
            Console.WriteLine("      Simplified: " + symbolicExpression7.Simplify());
            Console.WriteLine("      Plugin(x = 11): " + symbolicExpression7.Substitute("x", 11d).Simplify());
            Console.WriteLine();

            #endregion

            Console.WriteLine();
            Console.WriteLine("=================================================");
            Console.WriteLine("Example Complete...");
            Console.ReadLine();
        }
示例#4
-1
        static void Main(string[] args)
        {
            Console.WriteLine("You are runnning the Mathematics example.");
            Console.WriteLine("==========================================");
            Console.WriteLine();

            Console.WriteLine("  The Towel.Mathemeatics.Compute class allows generic mathematics (you can use any type). :)");
            Console.WriteLine();

            #region Basic Operations

            Console.WriteLine("  Basics----------------------------------------------");
            Console.WriteLine();

            // Negation
            Console.WriteLine("    Negate(7): " + Negate(7));
            // Addition
            Console.WriteLine("    Add(7, 7): " + Add(7m, 7m));
            // Subtraction
            Console.WriteLine("    Subtract(14, 7): " + Subtract(14f, 7f));
            // Multiplication
            Console.WriteLine("    Multiply(7, 7): " + Multiply((long)7, (long)7));
            // Division
            Console.WriteLine("    Divide(14, 7): " + Divide((short)14, (short)7));
            // Absolute Value
            Console.WriteLine("    AbsoluteValue(-7): " + AbsoluteValue((double)-7));
            // Clamp
            Fraction32 clamp_a = (Fraction32)(-123d / 9d);
            Fraction32 clamp_b = (Fraction32)(7d / 12d);
            Fraction32 clamp_c = (Fraction32)(14d / 15d);
            Console.WriteLine("    Clamp(" + clamp_a + ", " + clamp_b + ", " + clamp_c + "): " + Clamp(clamp_a, clamp_b, clamp_c));
            // Maximum
            Console.WriteLine("    Maximum(1, 2, 3): " + Maximum(1, 2, 3));
            // Minimum
            Console.WriteLine("    Minimum(1, 2, 3): " + Minimum(1, 2, 3));
            // Less Than
            Console.WriteLine("    LessThan(1, 2): " + LessThan((Fraction128)1, (Fraction128)2));
            // Greater Than
            Console.WriteLine("    GreaterThan(1, 2): " + GreaterThan((Fraction64)1, (Fraction64)2));
            // Compare
            Console.WriteLine("    Compare(7, 7): " + Compare((Fraction32)7, (Fraction32)7));
            // Equate
            Console.WriteLine("    Equate(7, 6): " + Equal(7, 6));
            // EqualsLeniency
            Console.WriteLine("    EqualsLeniency(2, 1, 1): " + EqualLeniency(2, 1, 1));
            Console.WriteLine();

            #endregion

            #region Number Theory

            Console.WriteLine("  Number Theory--------------------------------------");
            Console.WriteLine();

            // Prime Checking
            int prime_check = random.Next(0, 100000);
            Console.WriteLine("    IsPrime(" + prime_check + "): " + IsPrime(prime_check));

            // GCF Checking
            int[] gcf = new int[] { random.Next(0, 500) * 2, random.Next(0, 500) * 2, random.Next(0, 500) * 2 };
            Console.WriteLine("    GCF(" + gcf[0] + ", " + gcf[1] + ", " + gcf[2] + "): " + GreatestCommonFactor(gcf.Stepper()));

            // LCM Checking
            int[] lcm = new int[] { random.Next(0, 500) * 2, random.Next(0, 500) * 2, random.Next(0, 500) * 2 };
            Console.WriteLine("    LCM(" + lcm[0] + ", " + lcm[1] + ", " + lcm[2] + "): " + LeastCommonMultiple(lcm.Stepper()));
            Console.WriteLine();

            #endregion

            #region Fraction

            Console.WriteLine("  Fractions-----------------------------------");
            Console.WriteLine();
            Fraction128 fraction1 = new Fraction128(2.5);
            Console.WriteLine("    fraction1 = " + fraction1);
            Fraction128 fraction2 = new Fraction128(3.75);
            Console.WriteLine("    fraction2 = " + fraction2);
            Console.WriteLine("    fraction1 + fraction2 = " + fraction1 + fraction2);
            Console.WriteLine("    fraction2 - fraction1 = " + fraction1 + fraction2);
            Console.WriteLine("    fraction1 * 2 = " + fraction1 * 2);
            Console.WriteLine("    fraction1 / 2 = " + fraction1 / 2);
            Console.WriteLine("    fraction1 > fraction2 = " + (fraction1 > fraction2));
            Console.WriteLine("    fraction1 == fraction2 = " + (fraction1 == fraction2));
            Console.WriteLine("    fraction1 * 2 == fraction2 = " + (fraction1 * 2 == fraction2));
            Console.WriteLine("    fraction1 != fraction2 = " + (fraction1 != fraction2));
            Console.WriteLine();

            #endregion

            #region Trigonometry

            //Console.WriteLine("  Trigonometry -----------------------------------------");
            //Console.WriteLine();

            //Angle<double> testingAngle = Angle<double>.Factory_Degrees(90d);

            //Console.WriteLine("    Sin(90degrees) = " + Sine(testingAngle));

            #endregion

            #region Statistics

            Console.WriteLine("  Statistics-----------------------------------------");
            Console.WriteLine();

            // Makin some random data...
            double mode_temp = random.NextDouble() * 100;

            double[] statistics_data = new double[random.Next(5, 7)];
            for (int i = 0; i < statistics_data.Length; i++)
            {
                if (i == 1 || i == statistics_data.Length - 1)
                {
                    statistics_data[i] = mode_temp;
                }
                else
                {
                    statistics_data[i] = random.NextDouble() * 100;
                }
            }

            // Print the data to the console...
            string stat_data_string = "    data: [" + string.Format("{0:0.00}", statistics_data[0]);
            for (int i = 1; i < statistics_data.Length; i++)
            {
                stat_data_string += ", " + string.Format("{0:0.00}", statistics_data[i]);
            }
            stat_data_string += "]";
            Console.WriteLine(stat_data_string);
            Console.WriteLine();

            // Mean
            Console.WriteLine("    Mean(data): " + string.Format("{0:0.00}", Mean(statistics_data.Stepper())));

            // Median
            //Console.WriteLine("    Median(data): " + string.Format("{0:0.00}", Median(statistics_data.Stepper())));

            // Mode
            //Console.WriteLine("    Mode(data): ");
            //Heap<Link<double, int>> modes = Mode(statistics_data.Stepper());
            //while (modes.Count > 0)
            //{
            //    Link<double, int> link = modes.Dequeue();
            //    Console.WriteLine("      Point: " + string.Format("{0:0.00}", link._1) + " Occurences: " + link._2);
            //}
            //Console.WriteLine();

            // Geometric Mean
            //Console.WriteLine("    Geometric Mean(data): " + string.Format("{0:0.00}", GeometricMean(statistics_data.Stepper())));

            // Range
            double min;
            double max;
            Range(out min, out max, statistics_data.Stepper());
            Console.WriteLine("    Range(data): " + string.Format("{0:0.00}", min) + "-" + string.Format("{0:0.00}", max));

            // Variance
            Console.WriteLine("    Variance(data): " + string.Format("{0:0.00}", Variance(statistics_data.Stepper())));

            // Standard Deviation
            Console.WriteLine("    Standard Deviation(data): " + string.Format("{0:0.00}", StandardDeviation(statistics_data.Stepper())));

            // Mean Deviation
            Console.WriteLine("    Mean Deviation(data): " + string.Format("{0:0.00}", MeanDeviation(statistics_data.Stepper())));
            Console.WriteLine();

            // Quantiles
            //double[] quatiles = Statistics<double>.Quantiles(4, statistics_data.Stepper());
            //Console.Write("    Quartiles(data):");
            //foreach (double i in quatiles)
            //	Console.Write(string.Format(" {0:0.00}", i));
            //Console.WriteLine();
            //Console.WriteLine();

            #endregion

            #region Algebra

            Console.WriteLine("  Algebra---------------------------------------------");
            Console.WriteLine();

            // Prime Factorization
            int prime_factors = random.Next(0, 100000);
            Console.Write("    Prime Factors(" + prime_factors + "): ");
            FactorPrimes(prime_factors, (int i) => { Console.Write(i + " "); });
            Console.WriteLine();
            Console.WriteLine();

            // Logarithms
            //int log_1 = random.Next(0, 11), log_2 = random.Next(0, 100000);
            //Console.WriteLine("    log_" + log_1 + "(" + log_2 + "): " + string.Format("{0:0.00}", Logarithm((double)log_1, (double)log_2)));
            //Console.WriteLine();

            // Summation
            double[] summation_values = new double[]
            {
                random.NextDouble(),
                     random.NextDouble(),
                     random.NextDouble(),
                     random.NextDouble(),
            };
            double summation = Add(summation_values.Stepper());
            Console.Write("    Σ (" + string.Format("{0:0.00}", summation_values[0]));
            for (int i = 1; i < summation_values.Length; i++)
            {
                Console.Write(", " + string.Format("{0:0.00}", summation_values[i]));
            }
            Console.WriteLine(") = " + string.Format("{0:0.00}", summation));
            Console.WriteLine();

            #endregion

            #region Combinatorics

            Console.WriteLine("  Combinatorics--------------------------------------");
            Console.WriteLine();

            // Factorials
            Console.WriteLine("    7!: " + Factorial(7));
            Console.WriteLine();

            // Combinations
            Console.WriteLine("    7! / (3! * 4!): " + Combinations(7, new int[] { 3, 4 }));
            Console.WriteLine();

            // Choose
            Console.WriteLine("    7 choose 2: " + Choose(7, 2));
            Console.WriteLine();

            #endregion

            #region Linear Algebra

            Console.WriteLine("  Linear Algebra------------------------------------");
            Console.WriteLine();

            // Vector Construction
            Vector <double> V = new double[]
            {
                random.NextDouble(),
                            random.NextDouble(),
                            random.NextDouble(),
                            random.NextDouble(),
            };

            Console.WriteLine("    Vector<double> V: ");
            ConsoleWrite(V);

            Console.WriteLine("    Normalize(V): ");
            ConsoleWrite(V.Normalize());

            // Vctor Negation
            Console.WriteLine("    -V: ");
            ConsoleWrite(-V);

            // Vector Addition
            Console.WriteLine("    V + V (aka 2V): ");
            ConsoleWrite(V + V);

            // Vector Multiplication
            Console.WriteLine("    V * 2: ");
            ConsoleWrite(V * 2);

            // Vector Division
            Console.WriteLine("    V / 2: ");
            ConsoleWrite(V / 2);

            // Vector Dot Product
            Console.WriteLine("    V dot V: " + Vector <double> .DotProduct(V, V));
            Console.WriteLine();

            // Vector Cross Product
            Vector <double> V3 = new double[]
            {
                random.NextDouble(),
                            random.NextDouble(),
                            random.NextDouble(),
            };

            Console.WriteLine("    Vector<double> V3: ");
            ConsoleWrite(V3);
            Console.WriteLine("    V3 cross V3: ");
            ConsoleWrite(Vector <double> .CrossProduct(V3, V3));

            double[,] doubleData = new double[, ]
            {
                { random.NextDouble(), random.NextDouble(), random.NextDouble(), random.NextDouble() },
                { random.NextDouble(), random.NextDouble(), random.NextDouble(), random.NextDouble() },
                { random.NextDouble(), random.NextDouble(), random.NextDouble(), random.NextDouble() },
                { random.NextDouble(), random.NextDouble(), random.NextDouble(), random.NextDouble() },
            };

            // Matrix Construction
            Matrix <double> M = new Matrix <double>(4, 4, (row, column) => doubleData[row, column]);

            Console.WriteLine("    Matrix<double>.Identity(4, 4): ");
            ConsoleWrite(Matrix <double> .FactoryIdentity(4, 4));

            Console.WriteLine("    Matrix<double> M: ");
            ConsoleWrite(M);

            // Matrix Negation
            Console.WriteLine("    -M: ");
            ConsoleWrite(-M);

            // Matrix Addition
            Console.WriteLine("    M + M (aka 2M): ");
            ConsoleWrite(M + M);

            // Matrix Subtraction
            Console.WriteLine("    M - M: ");
            ConsoleWrite(M - M);

            // Matrix Multiplication
            Console.WriteLine("    M * M (aka M ^ 2): ");
            ConsoleWrite(M * M);

            // If you have a large matrix that you want to multi-thread the multiplication,
            // use the function: "LinearAlgebra.Multiply_parallel". This function will
            // automatically parrallel the multiplication to the number of cores on your
            // personal computer.

            // Matrix Power
            Console.WriteLine("    M ^ 3: ");
            ConsoleWrite(M ^ 3);

            // Matrix Multiplication
            Console.WriteLine("    minor(M, 1, 1): ");
            ConsoleWrite(M.Minor(1, 1));

            // Matrix Reduced Row Echelon
            Console.WriteLine("    rref(M): ");
            ConsoleWrite(Matrix <double> .ReducedEchelon(M));

            // Matrix Determinant
            Console.WriteLine("    determinent(M): " + string.Format("{0:0.00}", Matrix <double> .Determinent(M)));
            Console.WriteLine();

            // Matrix-Vector Multiplication
            Console.WriteLine("    M * V: ");
            ConsoleWrite(M * V);

            // Matrix Lower-Upper Decomposition
            //Matrix<double> l, u;
            //Matrix<double>.DecomposeLU(M, out l, out u);
            //Console.WriteLine("    Lower-Upper Decomposition:");
            //Console.WriteLine();
            //Console.WriteLine("       lower(M):");
            //ConsoleWrite(l);
            //Console.WriteLine("       upper(M):");
            //ConsoleWrite(u);

            // Quaternion Construction
            Quaternion <double> Q = new Quaternion <double>(
                random.NextDouble(),
                random.NextDouble(),
                random.NextDouble(),
                1.0d);

            Console.WriteLine("    Quaternion<double> Q: ");
            ConsoleWrite(Q);

            // Quaternion Addition
            Console.WriteLine("    Q + Q (aka 2Q):");
            ConsoleWrite(Q + Q);

            // Quaternion-Vector Rotation
            Console.WriteLine("    Q * V3 * Q':");
            // Note: the vector should be normalized on the 4th component
            // for a proper rotation. (I did not do that)
            ConsoleWrite(V3.RotateBy(Q));

            #endregion

            #region Convex Optimization

            //Console.WriteLine("  Convex Optimization-----------------------------------");
            //Console.WriteLine();

            //double[,] tableau = new double[,]
            //{
            //	{ 0.0, -0.5, -3.0, -1.0, -4.0, },
            //	{ 40.0, 1.0, 1.0, 1.0, 1.0, },
            //	{ 10.0, -2.0, -1.0, 1.0, 1.0, },
            //	{ 10.0, 0.0, 1.0, 0.0, -1.0, },
            //};

            //Console.WriteLine("    tableau (double): ");
            //ConsoleWrite(tableau); Console.WriteLine();

            //Vector<double> simplex_result = LinearAlgebra.Simplex(ref tableau);

            //Console.WriteLine("    simplex(tableau): ");
            //ConsoleWrite(tableau); Console.WriteLine();

            //Console.WriteLine("    resulting maximization: ");
            //ConsoleWrite(simplex_result);

            #endregion

            #region Symbolics

            Console.WriteLine("  Symbolics---------------------------------------");
            Console.WriteLine();

            Expression <Func <double, double> > expression1 = (x) => 2 * (x / 7);
            var symbolicExpression1 = Symbolics.Parse(expression1);
            Console.WriteLine("    Expression 1: " + symbolicExpression1);
            Console.WriteLine("      Simplified: " + symbolicExpression1.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression1.Substitute("x", 5).Simplify());

            Expression <Func <double, double> > expression2 = (x) => 2 * x / 7;
            var symbolicExpression2 = Symbolics.Parse(expression2);
            Console.WriteLine("    Expression 2: " + symbolicExpression2);
            Console.WriteLine("      Simplified: " + symbolicExpression2.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression2.Substitute("x", 5).Simplify());

            Expression <Func <double, double> > expression3 = (x) => 2 - x + 7;
            var symbolicExpression3 = Symbolics.Parse(expression3);
            Console.WriteLine("    Expression 3: " + symbolicExpression3);
            Console.WriteLine("      Simplified: " + symbolicExpression3.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression3.Substitute("x", 5).Simplify());

            Expression <Func <double, double> > expression4 = (x) => 2 + (x - 7);
            var symbolicExpression4 = Symbolics.Parse(expression4);
            Console.WriteLine("    Expression 4: " + symbolicExpression4);
            Console.WriteLine("      Simplified: " + symbolicExpression4.Simplify());
            Console.WriteLine("      Plugin(5): " + symbolicExpression4.Substitute("x", 5).Simplify());

            Expression <Func <double, double, double, double> > expression5 = (x, y, z) => Power(x, 3d) + 2d * x * y * Power(z, 2d) - y * z + 1d;
            var symbolicExpression5 = Symbolics.Parse(expression5);
            Console.WriteLine("    Expression 5: " + symbolicExpression5);
            Console.WriteLine("      Simplified: " + symbolicExpression5.Simplify());
            Console.WriteLine("      Plugin(x = 5): " + symbolicExpression5.Substitute("x", 5).Simplify());

            var symbolicExpression6 = Symbolics.Parse <double>("2 * (7 / [x])", double.TryParse);
            Console.WriteLine("    Expression 6: " + symbolicExpression6);
            Console.WriteLine("      Simplified: " + symbolicExpression6.Simplify());
            Console.WriteLine("      Plugin(x = 5): " + symbolicExpression6.Substitute("x", 9).Simplify());

            var symbolicExpression7 = Symbolics.Parse <double>("10 + 8 * (7 / [x]) + 7 ^ 2", double.TryParse);
            Console.WriteLine("    Expression 7: " + symbolicExpression7);
            Console.WriteLine("      Simplified: " + symbolicExpression7.Simplify());
            Console.WriteLine("      Plugin(x = 5): " + symbolicExpression7.Substitute("x", 11).Simplify());

            #endregion

            Console.WriteLine();
            Console.WriteLine("=================================================");
            Console.WriteLine("Example Complete...");
            Console.ReadLine();
        }