public void RandomExtenderDistributionAlgorithmNormalTests()
{
var r = new RandomExtender(1000);
double mean = 0;
double deviation = 1;
uint ranges = 10;
uint samples = 1000;
double min = -2.5;
double max = 2.5;
IList <Range> dist = GetDistributionForFunction(samples, () => r.NextNormal(mean, deviation), min, max, ranges);
double certainty = 0.8;
var expectedranges = new double[ranges];
double rangewidth = (max - min) / ranges;
for (int i = 0; i < ranges; i++)
{
expectedranges[i] = (samples
* IntegrateNormal(min + (i * rangewidth), min + ((i + 1) * rangewidth), mean, deviation));
}
for (int i = 0; i < dist.Count; i++)
{
Assert.IsTrue(
dist[i].HitCount >= expectedranges[i] * certainty && dist[i].HitCount <= expectedranges[i] * (2 - certainty));
}
}
public void GenerateTriangularAndTest()
{
double start = 0, end = 20, peak = 5;
var r = new RandomExtender(1044400);
uint ranges = 8;
uint samples = 10000;
IList <Range> dist = GetDistributionForFunction(samples, () => r.NextTriangular(start, end, peak), start, end, ranges);
double certainty = 0.9;
var expectedranges = new double[ranges];
double rangewidth = (end - start) / ranges;
// fill to end
for (int i = 0; i < ranges; i++)
{
expectedranges[i] = (samples
* IntegrateTriang(start + (i * rangewidth), start + ((i + 1) * rangewidth), start, end, peak));
}
for (int i = 0; i < dist.Count; i++)
{
Assert.IsTrue(
dist[i].HitCount >= expectedranges[i] * certainty && dist[i].HitCount <= expectedranges[i] * (2 - certainty));
}
}
public void RandomExtenderDistributionAlgorithmUniformTests()
{
var r = new RandomExtender(1000);
uint ranges = 5;
uint samples = 10000;
IList <Range> dist = GetDistributionForFunction(samples, r.NextUniform, 0, 1, ranges);
double certainty = 0.9;
uint expectedall = samples / ranges;
foreach (Range range in dist)
{
Assert.IsTrue(range.HitCount > expectedall * certainty && range.HitCount < expectedall * (2 - certainty));
}
}
/// <summary>
/// Initializes a new instance of the <see cref="RandomCallGenerator"/> class.
/// </summary>
/// <param name="randomSeed">The random seed to use when generating data.</param>
/// <param name="speedMean">The call travelling speed distribution mean.</param>
/// <param name="speedDeviation">The call travelling speed distribution deviation.</param>
/// <param name="interArrivalMean">The mean value of the inter arrival time of calls.</param>
/// <param name="durationMean">The mean value of the call duration distribution.</param>
/// <param name="callPosPeak">The peak, or mode, value of the call position distribution</param>
/// <param name="callPosStart"></param>
/// <param name="callPosEnd"></param>
public RandomCallGenerator(
uint randomSeed,
double callPosStart,
double callPosEnd,
double callPosPeak,
double speedMean,
double speedDeviation,
double interArrivalMean,
double durationMean )
{
_callPosStart = callPosStart;
_callPosEnd = callPosEnd;
_callPosPeak = callPosPeak;
_speedMean = speedMean;
_speedDeviation = speedDeviation;
_interArrivalMean = interArrivalMean;
_durationMean = durationMean;
_random = new RandomExtender( randomSeed );
}
