private ArrayList covMatrix(ArrayList dataDiff, scattDifference[] firstStep)
{
Difference[] diffArray = (Difference[])dataDiff.ToArray(typeof(Difference));
double[][] pureMatrix = new double[dataDiff.Count][];
double[][] errorMatrix = new double[dataDiff.Count][];
int i;
int j;
for (i = 0; i < diffArray.Length; i++)
{
pureMatrix[i] = new double[i + 1];
errorMatrix[i] = new double[i + 1];
for (j = 0; j <= i; j++)
{
elMatrix info = new elMatrix();
info = calculateElementMatrix(diffArray[i], diffArray[j], firstStep);
pureMatrix[i][j] = info.pureRes;
errorMatrix[i][j] = info.errorRes;
}
}
ArrayList matrixFinal = new ArrayList();
matrixFinal.Add(pureMatrix);
matrixFinal.Add(errorMatrix);
return(matrixFinal);
}
private elMatrix calculateElementMatrix(Difference data1, Difference data2, scattDifference[] firstStep)
{
elMatrix finalResult = new elMatrix();
finalResult.pureRes = 0.0;
finalResult.errorRes = 0.0;
int i;
int k;
int c1 = -1;
int c2 = -2;
if (data1.first > data2.second || data2.first > data1.second)
{
finalResult.pureRes = 0.0;
finalResult.errorRes = 0.0;
}
else if (data1.first == data2.second || data2.first == data1.second)
{
finalResult.pureRes = 0.0;
finalResult.errorRes = -C.SlopeError * C.SlopeError;
}
else if (data1.first == data2.first && data1.second == data2.second)
{
for (i = 0; i < firstStep.Length; i++)
{
if (firstStep[i].first == data1.first)
{
c1 = i;
}
if (firstStep[i].second == data1.second)
{
c2 = i;
}
}
if (c1 == c2) //vuol dire che lo step è uno solo
{
finalResult.pureRes = firstStep[c1].value;
finalResult.errorRes = 2.0 * C.SlopeError * C.SlopeError;
}
else //vuol dire che c'è più di 1 cella ed io sommo i sigma delle celle intermedie
{
for (k = c1; k <= c2; k++)
{
finalResult.pureRes = finalResult.pureRes + firstStep[k].value;
}
finalResult.errorRes = 2 * C.SlopeError * C.SlopeError;
}
}
else if (data1.first == data2.first)
{
c1 = data1.first;
c2 = Math.Min(data1.second, data2.second);
for (k = c1; k < c2; k++)
{
finalResult.pureRes = finalResult.pureRes + firstStep[k].value;
}
finalResult.errorRes = C.SlopeError * C.SlopeError;
}
else if (data1.second == data2.second)
{
c1 = Math.Max(data1.first, data1.first);
c2 = data1.second;
for (k = c1; k < c2; k++)
{
finalResult.pureRes = finalResult.pureRes + firstStep[k].value;
}
finalResult.errorRes = C.SlopeError * C.SlopeError;
}
else
{
c2 = Math.Min(data1.second, data2.second);
c1 = Math.Max(data1.first, data2.first);
for (k = c1; k < c2; k++)
{
finalResult.pureRes = finalResult.pureRes + firstStep[k].value;
}
finalResult.errorRes = 0;
}
return(finalResult);
}
