//---------------------------------------------
//*********************************************
public Inv_SRInfoLine copy()
{
Inv_SRInfoLine output = new Inv_SRInfoLine();
output.name = string.Copy(this.name);
output.start = this.start.copy();
output.end = this.end.copy();
output.travelTime = this.travelTime;
return(output);
}
private List <double> TsGenerator2(Inv_SRInfoTable table)
{
List <double> output = new List <double>();
foreach (Inv_SRInfoLine L in table.SRInfoLineList)
{
Inv_SRInfoLine ttl = L.copy();
ttl.TravelTime = (float)Math.Pow(6 * table.F_alpha_d * ttl.TravelTime, 0.5);
output.Add(ttl.TravelTime);
}
return(output);
}
//=============================================
private List <double> TsGenerator1(Inv_SRInfoTable table)
{
List <double> output = new List <double>();
foreach (Inv_SRInfoLine L in table.SRInfoLineList)
{
Inv_SRInfoLine ttl = L.copy();
ttl.TravelTime = ttl.TravelTime;
output.Add(ttl.TravelTime);
}
return(output);
}
public List <double> TsGenerator2(Inv_SRInfoTable table)
{
List <double> TTL = new List <double>();//--> 经过计算后将用来矩阵计算的TravelTimeList// the vector b used for b=Ax
foreach (Inv_SRInfoLine L in table.SRInfoLineList)
{
Inv_SRInfoLine line = L.copy();
line.TravelTime = (float)Math.Pow(table.DimFactor * _table.F_alpha_d * line.TravelTime, 0.5);
TTL.Add(line.TravelTime);
}
return(TTL);
}
//--------------------------------------------------------------------------------------
//--------------------------------------------------------------------------------------
///Measured TravelTime
///配置TravelTime的向量-->List<double> TTL//set the vector of travel time
public List <double> TsGenerator1(Inv_SRInfoTable table)
{
List <double> TTL = new List <double>();//--> 经过计算后将用来矩阵计算的TravelTimeList// the vector b used for b=Ax
foreach (Inv_SRInfoLine L in table.SRInfoLineList)
{
Inv_SRInfoLine line = L.copy();
line.TravelTime = line.TravelTime;
TTL.Add(line.TravelTime);
}
return(TTL);
}
public void StRayAlgo()//straight ray algorithm
{
if (_result.Count == 0)
{
_result.Clear();
}
int n_d = _initialDiffusivity.Count; //he number of cells, it equals the number of columns of matrix A
int n_t = _tProcessed.Count; //the number of travel times, it equals the number of rows of matrix A
// b=Ax, x->x2
// consider b as time, A as distance, x as speed
double xMax = 1.0 / (Math.Sqrt(_iP.MinD)); // set the constraint, the max of x, x=1/(root of diffusivity)
double xMin = 1.0 / (Math.Sqrt(_iP.MaxD)); // set the constraint, the min of x, x=1/(root of diffusivity)
List <double> estimatedD = _initialDiffusivity.ToList();
Vector <double> x = Vector <double> .Build.Dense(n_d, 1);
for (int i = 0; i < n_d; i++)
{
x[i] = 1.0 / (Math.Sqrt(estimatedD[i]));//the speed vector, x=1/(root of diffusivity)
}
#region
int iter = 0;
double RMS = _iP.CriRMS + 1;
while (iter <_iP.StrRay& RMS> _iP.CriRMS)
{
//STEP 1
SIRT_Result_StraightRay Record = new SIRT_Result_StraightRay();
Record.Iter = iter;
Record.OldProcessedD = x.ToList();
//====================================================
//STEP 2 : Set matrix A
Matrix <double> A = Matrix <double> .Build.Dense(n_t, n_d, 0);
for (int row = 0; row < n_t; row++)
{
Inv_SRInfoLine infoLine = (Inv_SRInfoLine)_table.SRInfoLineList[row];
MathNet.Spatial.Euclidean.Point2D PStart = new MathNet.Spatial.Euclidean.Point2D(infoLine.Start.Coor[0], infoLine.Start.Coor[2]);
MathNet.Spatial.Euclidean.Point2D PEnd = new MathNet.Spatial.Euclidean.Point2D(infoLine.End.Coor[0], infoLine.End.Coor[2]);
MathNet.Spatial.Euclidean.Line2D Traj = new MathNet.Spatial.Euclidean.Line2D(PStart, PEnd);
for (int col = 0; col < n_d; col++)
{
CohenSutherland coh = new CohenSutherland();
List <MathNet.Spatial.Euclidean.Point2D> Ps = coh.CohenSutherlandLineClip(_fRs[col], PStart, PEnd).ToList();
if (Ps.Count > 1)
{
A[row, col] = Ps[0].DistanceTo(Ps[1]);
}
}
}
Record.A = A.Clone();
Record.ProcessedTime = (A * x).ToList();
//====================================================
//STEP 3 : set the start node and the end node from Record
foreach (object obj in _table.SRInfoLineList)
{
Inv_SRInfoLine infoLine = (Inv_SRInfoLine)obj;
Record.Start.Add(infoLine.Start);
Record.End.Add(infoLine.End);
}
//====================================================
//STEP 4 : cimmino calculation
Vector <double> b = Vector <double> .Build.DenseOfArray(_tProcessed.ToArray());
SIRT_Options so = new SIRT_Options(b, A, x, 1);// b=Ax
Vector <double> x2 = so.XUpdaterDROP(x, 1);
//====================================================
//STEP 7 : update x and diffusivity for next iteration
x = x2.Clone();
for (int i = 0; i < n_d; i++)
{
if (x[i] < conMinX[i])
{
x[i] = conMinX[i];
}
if (x[i] > conMaxX[i])
{
x[i] = conMaxX[i];
}
}
Record.NewProcessedD = x.ToList();
//====================================================
_result.Add(Record);//output
iter = iter + 1;
}
#endregion
}
