static void TestDistribution()
{
double[] Input = { 1, 16, 19, 21 };
List <int> sampleValues = new List <int>();
Random aRandom = new Random();
RandomProportional aRandomProportinal = new RandomProportional();
for (int i = 0; i < 100; i++)
{
int value = 0;
do
{
int indexChosen = aRandom.Next(4);
double xCoordinate = XCoordinateOfRandomUnitInsideSphere(aRandomProportinal);
if (aRandom.Next(2) == 0)
{
xCoordinate = -xCoordinate;
}
double xRandomResult = xCoordinate * 64;
value = (int)(Input[indexChosen] + xRandomResult);
} while (value < 1 || value > 64);
sampleValues.Add((int)value);
}
sampleValues.Sort();
Console.WriteLine();
foreach (int i in sampleValues)
{
Console.Write(" {0:00} ", i);
}
Console.WriteLine();
}
static void Main( )
{
const int rows = 4, cols = 6;
const int runCount = 1000000;
const int distGroupCount = 10;
const double intGroupSize =
((double)int.MaxValue + 1.0) / (double)distGroupCount;
RandomProportional randObj = new RandomProportional( );
int[] intCounts = new int[distGroupCount];
int[] realCounts = new int[distGroupCount];
Console.WriteLine(
"\nThe derived RandomProportional class overrides " +
"the Sample method to \ngenerate random numbers " +
"in the range [0.0, 1.0]. The distribution \nof " +
"the numbers is proportional to their numeric values. " +
"For example, \nnumbers are generated in the " +
"vicinity of 0.75 with three times the \n" +
"probability of those generated near 0.25.");
Console.WriteLine(
"\nRandom doubles generated with the NextDouble( ) " +
"method:\n");
// Generate and display [rows * cols] random doubles.
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < cols; j++)
{
Console.Write("{0,12:F8}", randObj.NextDouble( ));
}
Console.WriteLine( );
}
Console.WriteLine(
"\nRandom integers generated with the Next( ) " +
"method:\n");
// Generate and display [rows * cols] random integers.
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < cols; j++)
{
Console.Write("{0,12}", randObj.Next( ));
}
Console.WriteLine( );
}
Console.WriteLine(
"\nTo demonstrate the proportional distribution, " +
"{0:N0} random \nintegers and doubles are grouped " +
"into {1} equal value ranges. This \n" +
"is the count of values in each range:\n",
runCount, distGroupCount);
Console.WriteLine(
"{0,21}{1,10}{2,20}{3,10}", "Integer Range",
"Count", "Double Range", "Count");
Console.WriteLine(
"{0,21}{1,10}{2,20}{3,10}", "-------------",
"-----", "------------", "-----");
// Generate random integers and doubles, and then count
// them by group.
for (int i = 0; i < runCount; i++)
{
intCounts[(int)((double)randObj.Next( ) /
intGroupSize)]++;
realCounts[(int)(randObj.NextDouble( ) *
(double)distGroupCount)]++;
}
// Display the count of each group.
for (int i = 0; i < distGroupCount; i++)
{
Console.WriteLine(
"{0,10}-{1,10}{2,10:N0}{3,12:N5}-{4,7:N5}{5,10:N0}",
(int)((double)i * intGroupSize),
(int)((double)(i + 1) * intGroupSize - 1.0),
intCounts[i],
((double)i) / (double)distGroupCount,
((double)(i + 1)) / (double)distGroupCount,
realCounts[i]);
}
}
