private IEnumerable <CPolyline> GenerateSeparateLinkCplEb(CPolyline frcpl1, CPolyline tocpl1, CPolyline frcpl2, CPolyline tocpl2,
int intIndex1, int intIndex2, double dblMid, string strDimension)
{
var SeparateLinkCplEb1 = GenerateOneSeparateLinkCplEb(frcpl1, tocpl1, intIndex1, intIndex2, dblMid, strDimension);
var SeparateLinkCplEb2 = GenerateOneSeparateLinkCplEb(frcpl2, tocpl2, intIndex1, intIndex2, dblMid, strDimension);
return(SeparateLinkCplEb1.Concat(SeparateLinkCplEb2));
}
/// <summary>
/// 提取对应线段
/// </summary>
/// <param name="frcpl">大比例尺线状要素</param>
/// <param name="tocpl">小比例尺线状要素</param>
/// <param name="pCorrespondBendLt">对应弯曲列表</param>
/// <returns>对应线段</returns>
/// <remarks></remarks>
public static SCG.LinkedList <CCorrSegment> DetectCorrespondSegment(CPolyline frcpl, CPolyline tocpl, List <CCorrespondBend> pCorrespondBendLt)
{
//提取对应弯曲的首尾点为对应特征点
SortedList <double, CCorrCpts> pCorrespondingCptSlt = new SortedList <double, CCorrCpts>(new CCmpDbl());
CCorrCpts pStartCorrespondingCpt0 = new CCorrCpts(frcpl.CptLt[0], tocpl.CptLt[0]); //第一对对应特征点
CCorrCpts pEndCorrespondingCpt0 = new CCorrCpts(frcpl.CptLt[frcpl.CptLt.Count - 1], tocpl.CptLt[tocpl.CptLt.Count - 1]); //第二对对应特征点
pCorrespondingCptSlt.Add(0, pStartCorrespondingCpt0);
pCorrespondingCptSlt.Add(1, pEndCorrespondingCpt0);
//其它对应特征点
for (int i = 0; i < pCorrespondBendLt.Count; i++)
{
CCorrCpts pStartCorrespondingCpt = new CCorrCpts(pCorrespondBendLt[i].CFromBend.CptLt[0], pCorrespondBendLt[i].CToBend.CptLt[0]);
CCorrCpts pEndCorrespondingCpt = new CCorrCpts(
pCorrespondBendLt[i].CFromBend.CptLt[pCorrespondBendLt[i].CFromBend.CptLt.Count - 1],
pCorrespondBendLt[i].CToBend.CptLt[pCorrespondBendLt[i].CToBend.CptLt.Count - 1]);
pCorrespondingCptSlt.Add(pCorrespondBendLt[i].CFromBend.dblStartRL, pStartCorrespondingCpt);
pCorrespondingCptSlt.Add(pCorrespondBendLt[i].CFromBend.dblEndRL, pEndCorrespondingCpt);
}
//查找并删除重复对应特征点
for (int i = pCorrespondingCptSlt.Count - 1; i > 0; i--)
{
CPoint frcpt2 = pCorrespondingCptSlt.Values[i].FrCpt;
CPoint tocpt2 = pCorrespondingCptSlt.Values[i].ToCpt;
CPoint frcpt1 = pCorrespondingCptSlt.Values[i - 1].FrCpt;
CPoint tocpt1 = pCorrespondingCptSlt.Values[i - 1].ToCpt;
if (frcpt1.Equals2D(frcpt2) && tocpt1.Equals2D(tocpt2))
{
pCorrespondingCptSlt.RemoveAt(i);
}
}
//以对应特征点为断点分割原始线段，得到对应线段
SCG.LinkedList <CCorrSegment> pCorrespondSegmentLk = new SCG.LinkedList <CCorrSegment>();
//中间的对应线段
for (int i = 0; i < pCorrespondingCptSlt.Count - 1; i++)
{
CPolyline frSegment = frcpl.GetSubPolyline(pCorrespondingCptSlt.Values[i].FrCpt, pCorrespondingCptSlt.Values[i + 1].FrCpt);
CPolyline toSegment = tocpl.GetSubPolyline(pCorrespondingCptSlt.Values[i].ToCpt, pCorrespondingCptSlt.Values[i + 1].ToCpt);
pCorrespondSegmentLk.AddLast(new CCorrSegment(frSegment, toSegment));
}
return(pCorrespondSegmentLk);
}
private IEnumerable <CPolyline> GenerateVarioLinkCplEb(CPolyline frcpl1, CPolyline tocpl1, CPolyline frcpl2, CPolyline tocpl2,
int intIndex1, int intIndex2)
{
yield return(new CPolyline(frcpl1.CptLt[intIndex1], tocpl1.CptLt[intIndex1]));
yield return(new CPolyline(frcpl1.CptLt[intIndex2], tocpl1.CptLt[intIndex2]));
yield return(new CPolyline(frcpl2.CptLt[intIndex1], tocpl2.CptLt[intIndex1]));
yield return(new CPolyline(frcpl2.CptLt[intIndex2], tocpl2.CptLt[intIndex2]));
}
/// <summary>以回溯的方式寻找对应线段</summary>
/// <param name="frcpl">大比例尺线状要素</param>
/// <param name="tocpl">小比例尺线状要素</param>
/// <param name="CFrEdgeLt">大比例尺线段</param>
/// <param name="CToEdgeLt">小比例尺线段</param>
/// <param name="frlastcpllt">大比例尺终点线段（只有一个点）</param>
/// <param name="tolastcpllt">小比例尺终点线段（只有一个点）</param>
/// <returns>对应线段数组</returns>
public LinkedList <CCorrSegment> FindCorrespondSegmentLk(CTable[,] T, CPolyline frcpl, CPolyline tocpl, List <CPolyline> CFrBezierEdgeLt, List <CPolyline> CToBezierEdgeLt, List <CPolyline> frlastcpllt, List <CPolyline> tolastcpllt)
{
//LinkedList<CCorrSegment> CorrespondSegmentLk = new LinkedList<CCorrSegment>();
//int i = CFrBezierEdgeLt.Count;
//int j = CToBezierEdgeLt.Count;
//while (i >= 0 && j >= 0)
//{
// CPolyline frcplw = new CPolyline();
// CPolyline tocplw = new CPolyline();
// if (i == 0 && j == 0)
// {
// break;
// }
// else if (i == 0 && j > 0) //第0行的情况
// {
// frcplw = new CPolyline(0, CFrBezierEdgeLt[0].CptLt[0]);
// tocplw = tocpl.GetSubPolyline(CToBezierEdgeLt[0].CptLt[0], CToBezierEdgeLt[j - 1].CptLt[1]);
// j = 0;
// }
// else if (i > 0 && j == 0) //第0列的情况
// {
// frcplw = frcpl.GetSubPolyline(CFrBezierEdgeLt[0].CptLt[0], CFrBezierEdgeLt[i - 1].CptLt[1]);
// tocplw = new CPolyline(0, CToBezierEdgeLt[0].CptLt[0]);
// i = 0;
// }
// else //其它行列的情况
// {
// if (T[i, j].frpart == "segment" && T[i, j].topart == "last")
// {
// frcplw = frcpl.GetSubPolyline(CFrBezierEdgeLt[i - 1].CptLt[0], CFrBezierEdgeLt[i - 1].CptLt[1]);
// tocplw = tolastcpllt[j - 1];
// i = i - 1;
// }
// else if (T[i, j].frpart == "last" && T[i, j].topart == "segment")
// {
// frcplw = frlastcpllt[i - 1];
// tocplw = tocpl.GetSubPolyline(CToBezierEdgeLt[j - 1].CptLt[0], CToBezierEdgeLt[j - 1].CptLt[1]);
// j = j - 1;
// }
// else if (T[i, j].frpart == "segment" && T[i, j].topart == "segment")
// {
// frcplw = frcpl.GetSubPolyline(CFrBezierEdgeLt[i - 1].CptLt[0], CFrBezierEdgeLt[i - 1].CptLt[1]);
// tocplw = tocpl.GetSubPolyline(CToBezierEdgeLt[j - 1].CptLt[0], CToBezierEdgeLt[j - 1].CptLt[1]);
// i = i - 1;
// j = j - 1;
// }
// else if (T[i, j].frpart == "segment" && T[i, j].topart == "multisegments")
// {
// frcplw = frcpl.GetSubPolyline(CFrBezierEdgeLt[i - 1].CptLt[0], CFrBezierEdgeLt[i - 1].CptLt[1]);
// tocplw = tocpl.GetSubPolyline(CToBezierEdgeLt[j - T[i, j].intBackK].CptLt[0], CToBezierEdgeLt[j - 1].CptLt[1]);
// j = j - T[i, j].intBackK;
// i = i - 1;
// }
// else if (T[i, j].frpart == "multisegments" && T[i, j].topart == "segment")
// {
// frcplw = frcpl.GetSubPolyline(CFrBezierEdgeLt[i - T[i, j].intBackK].CptLt[0], CFrBezierEdgeLt[i - 1].CptLt[1]);
// tocplw = tocpl.GetSubPolyline(CToBezierEdgeLt[j - 1].CptLt[0], CToBezierEdgeLt[j - 1].CptLt[1]);
// i = i - T[i, j].intBackK;
// j = j - 1;
// }
// }
// CCorrSegment pCorrespondSegment = new CCorrSegment();
// pCorrespondSegment = new CCorrSegment(frcplw, tocplw);
// CorrespondSegmentLk.AddFirst(pCorrespondSegment);
//}
//return CorrespondSegmentLk;
return(null);
}
private void btn100_Click(object sender, EventArgs e)
{
_dblProp = 1;
_RelativeInterpolationCpl = CDrawInActiveView.DisplayInterpolation(_DataRecords, _dblProp);
}
public void STS()
{
var pParameterInitialize = _ParameterInitialize;
var pAxMapControl = pParameterInitialize.pAxMapControl;
pAxMapControl.Dock = DockStyle.None;
pAxMapControl.Width = 310;
pAxMapControl.Height = 310;
double dblWHRation = pAxMapControl.Width / pAxMapControl.Height;
double dblCenterX = 318;
double dblCenterY = 345;
//IPoint cptMC = new PointClass();
//cptMC.PutCoords(170, 180);
IEnvelope newEnvelope = new EnvelopeClass();
double dblRatio = 1;
newEnvelope.XMin = dblCenterX - pAxMapControl.Width / dblRatio;
newEnvelope.XMax = dblCenterX + pAxMapControl.Width / dblRatio;
newEnvelope.YMin = dblCenterY - pAxMapControl.Height / dblRatio;
newEnvelope.YMax = dblCenterY + pAxMapControl.Height / dblRatio;
//newEnvelope.XMin = dblCenterX - pAxMapControl.Width ;
//newEnvelope.XMax = dblCenterX + pAxMapControl.Width ;
//newEnvelope.YMin = dblCenterY - pAxMapControl.Height ;
//newEnvelope.YMax = dblCenterY + pAxMapControl.Height;
pAxMapControl.Extent = newEnvelope;
//pAxMapControl.MapScale = 1 / 6000000;
//pAxMapControl.CenterAt(cptMC);
//Old Larger-scale, Old Smaller-scale, New Larger-scale, New Smaller-scale
_OLCplLt = this.ObjCGeoLtLt[0].Select(cgeo => cgeo as CPolyline).ToList();
_OSCplLt = this.ObjCGeoLtLt[1].Select(cgeo => cgeo as CPolyline).ToList();
_NLCplLt = this.ObjCGeoLtLt[2].Select(cgeo => cgeo as CPolyline).ToList();
_NSCplLt = this.ObjCGeoLtLt[3].Select(cgeo => cgeo as CPolyline).ToList();
var olcpl = _OLCplLt[0];
var oscpl = _OSCplLt[0];
var nlcpl = _NLCplLt[0];
var nscpl = _NSCplLt[0];
double dblXAxisStart = 50;
double dblXAxisEnd = 620;
double dblYAxisStart = 70;
double dblYAxisEnd = 620;
double dblScaleMidY = (olcpl.CptLt[0].Y + oscpl.CptLt[0].Y) / 2;
double dblTimeMidX = (olcpl.CptLt[4].X + nlcpl.CptLt[4].X) / 2;
var strTS = _ParameterInitialize.strTS;
var LinkCplLt = new List <CPolyline>();
var SeparatorCplLt = new List <CPolyline>();
var scaleSeparatorCpl = new CPolyline(
new CPoint(dblXAxisStart + 5, dblScaleMidY), new CPoint(dblXAxisEnd - 5, dblScaleMidY));
var timeSeparatorCpl = new CPolyline(
new CPoint(dblTimeMidX, dblYAxisStart + 5), new CPoint(dblTimeMidX, dblYAxisEnd - 5));
if (strTS == "vario_vario")
{
//time transition
LinkCplLt.AddRange(GenerateVarioLinkCplEb(olcpl, nlcpl, oscpl, nscpl, 4, 12));
//scale transition
LinkCplLt.AddRange(GenerateVarioLinkCplEb(olcpl, oscpl, nlcpl, nscpl, 0, 8));
}
else if (strTS == "vario_separate")
{
//time transition
LinkCplLt.AddRange(GenerateVarioLinkCplEb(olcpl, nlcpl, oscpl, nscpl, 4, 12));
//scale transition
LinkCplLt.AddRange(GenerateSeparateLinkCplEb(olcpl, oscpl, nlcpl, nscpl, 0, 8, dblScaleMidY, "Scale"));
SeparatorCplLt.Add(scaleSeparatorCpl);
}
else if (strTS == "separate_vario")
{
//time transition
LinkCplLt.AddRange(GenerateSeparateLinkCplEb(olcpl, nlcpl, oscpl, nscpl, 4, 12, dblTimeMidX, "Time"));
//scale transition
LinkCplLt.AddRange(GenerateVarioLinkCplEb(olcpl, oscpl, nlcpl, nscpl, 0, 8));
SeparatorCplLt.Add(timeSeparatorCpl);
}
else //if (strTS == "separate_separate")
{
//time transition
LinkCplLt.AddRange(GenerateSeparateLinkCplEb(olcpl, nlcpl, oscpl, nscpl, 4, 12, dblTimeMidX, "Time"));
//scale transition
LinkCplLt.AddRange(GenerateSeparateLinkCplEb(olcpl, oscpl, nlcpl, nscpl, 0, 8, dblScaleMidY, "Scale"));
SeparatorCplLt.Add(scaleSeparatorCpl);
SeparatorCplLt.Add(timeSeparatorCpl);
}
CSaveFeature.SaveCplEb(SeparatorCplLt, strTS + "_Separator", intRed: 204, intGreen: 204, intBlue: 204,
pesriSimpleLineStyle: esriSimpleLineStyle.esriSLSDot);
//pesriSimpleLineStyle: esriSimpleLineStyle.esriSLSDash);
CSaveFeature.SaveCplEb(LinkCplLt, strTS + "_Link", intRed: 150, intGreen: 150, intBlue: 150);
double dblXExtra = 400;
double dblYExtra = 400;
var olIRgbColor = CHelpFunc.GenerateIRgbColor(230, 97, 1);
var nlIRgbColor = CHelpFunc.GenerateIRgbColor(94, 60, 153);
var cpllt00 = Output(0.00, 0.00, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt10 = Output(0.33, 0.00, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt20 = Output(0.67, 0.00, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt30 = Output(1.00, 0.00, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt01 = Output(0.00, 0.33, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt11 = Output(0.33, 0.33, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt21 = Output(0.67, 0.33, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt31 = Output(1.00, 0.33, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt02 = Output(0.00, 0.67, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt12 = Output(0.33, 0.67, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt22 = Output(0.67, 0.67, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt32 = Output(1.00, 0.67, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt03 = Output(0.00, 1.00, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt13 = Output(0.33, 1.00, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt23 = Output(0.67, 1.00, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
var cpllt33 = Output(1.00, 1.00, olIRgbColor, nlIRgbColor, dblXExtra, dblYExtra);
double dblMinY00 = cpllt00[0].CptLt.Min(cpt => cpt.Y);
double dblMinY01 = cpllt01[0].CptLt.Min(cpt => cpt.Y);
double dblMinY02 = cpllt02[0].CptLt.Min(cpt => cpt.Y);
double dblMinY03 = cpllt03[0].CptLt.Min(cpt => cpt.Y);
double dblMaxY00 = cpllt00[0].CptLt.Max(cpt => cpt.Y);
double dblMaxY01 = cpllt01[0].CptLt.Max(cpt => cpt.Y);
double dblMaxY02 = cpllt02[0].CptLt.Max(cpt => cpt.Y);
double dblMaxY03 = cpllt03[0].CptLt.Max(cpt => cpt.Y);
double dblMidY00 = (dblMinY00 + dblMaxY00) / 2;
double dblMidY01 = (dblMinY01 + dblMaxY01) / 2;
double dblMidY02 = (dblMinY02 + dblMaxY02) / 2;
double dblMidY03 = (dblMinY03 + dblMaxY03) / 2;
double dblMinX00 = cpllt00[0].CptLt.Min(cpt => cpt.X);
double dblMinX10 = cpllt10[0].CptLt.Min(cpt => cpt.X);
double dblMinX20 = cpllt20[0].CptLt.Min(cpt => cpt.X);
double dblMinX30 = cpllt30[0].CptLt.Min(cpt => cpt.X);
double dblMaxX00 = cpllt00[0].CptLt.Max(cpt => cpt.X);
double dblMaxX10 = cpllt10[0].CptLt.Max(cpt => cpt.X);
double dblMaxX20 = cpllt20[0].CptLt.Max(cpt => cpt.X);
double dblMaxX30 = cpllt30[0].CptLt.Max(cpt => cpt.X);
double dblMidX00 = (dblMinX00 + dblMaxX00) / 2;
double dblMidX10 = (dblMinX10 + dblMaxX10) / 2;
double dblMidX20 = (dblMinX20 + dblMaxX20) / 2;
double dblMidX30 = (dblMinX30 + dblMaxX30) / 2;
double dblTextSize = 8;
CDrawInActiveView.DrawArrow(pAxMapControl.ActiveView,
new CPoint(dblXAxisStart - 30, dblYAxisStart), new CPoint(dblXAxisEnd, dblYAxisStart), 6, 5); //x arrow; horizontal
CDrawInActiveView.DrawArrow(pAxMapControl.ActiveView,
new CPoint(dblXAxisStart, dblYAxisStart - 30), new CPoint(dblXAxisStart, dblYAxisEnd), 6, 5); //y arrow; vertical
CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "Generalize", dblXAxisStart + 20, dblYAxisEnd + 10, dblTextSize);
CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "Time", dblXAxisEnd - 20, dblYAxisStart - 25, dblTextSize);
//scales
CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "", dblXAxisStart - 40, dblMidY00 - dblTextSize / 2, dblTextSize);
CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "", dblXAxisStart - 40, dblMidY01 - dblTextSize / 2, dblTextSize);
CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "", dblXAxisStart - 40, dblMidY02 - dblTextSize / 2, dblTextSize);
CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "", dblXAxisStart - 40, dblMidY03 - dblTextSize / 2, dblTextSize);
//times
CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "2015", dblMidX00, dblYAxisStart - 30, dblTextSize);
CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "2016", dblMidX10, dblYAxisStart - 30, dblTextSize);
CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "2017", dblMidX20, dblYAxisStart - 30, dblTextSize);
CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "2018", dblMidX30, dblYAxisStart - 30, dblTextSize);
var pExportActiveViewCS_Net = new MorphingClass.CCommon.ExportActiveViewCS_Net();
pExportActiveViewCS_Net.ExportActiveViewParameterized(300, 1, "EMF",
pParameterInitialize.strMxdPathBackSlash, strTS, true);
////inputs
//CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "input", dblXAxisStart + 30, dblYAxisStart + 15, dblTextSize);
//CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "input", dblXAxisStart + 30, oscpl.CptLt[0].Y + 40, dblTextSize);
//CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "input", nlcpl.CptLt[5].X + 10, dblYAxisStart + 15, dblTextSize);
//CDrawInActiveView.DrawTextMarker(pAxMapControl.ActiveView, "input", nlcpl.CptLt[5].X + 10, oscpl.CptLt[0].Y + 40, dblTextSize);
//Output(0.3,0);
//Output(0, 0.6);
//Output(0.7, 0.2);
//Output(0.6, 0.9);
}
private void btn010_Click(object sender, EventArgs e)
{
_dblProp = 0.1;
_RelativeInterpolationCpl = CHelpFunc.DisplayInterpolation(_DataRecords, _dblProp);
}
private void btnAdd_Click(object sender, EventArgs e)
{
_dblProp = _dblProp + 0.02;
pbScale.Value = Convert.ToInt16(100 * _dblProp);
_RelativeInterpolationCpl = DisplayInterpolation(_dblProp, _DataRecords.ParameterInitialize.m_mapControl);
}
public virtual void btn020_Click(object sender, EventArgs e)
{
_dblProp = 0.2;
_RelativeInterpolationCpl = CDrawInActiveView.DisplayInterpolation(_DataRecords, _dblProp);
}
private void btn100_Click(object sender, EventArgs e)
{
_dblProp = 1;
_RelativeInterpolationCpl = DisplayInterpolation(_dblProp, _DataRecords.ParameterInitialize.m_mapControl);
}
private void btnInputedScale_Click(object sender, EventArgs e)
{
_dblProp = Convert.ToDouble(this.txtProportion.Text);
_RelativeInterpolationCpl = DisplayInterpolation(_dblProp, _DataRecords.ParameterInitialize.m_mapControl);
}
public CMPBBSLDP(CPolyline frcpl, CPolyline tocpl)
{
_FromCpl = frcpl;
_ToCpl = tocpl;
}
private void btn100_Click(object sender, EventArgs e)
{
_dblProportion = 1;
_RelativeInterpolationCpl = CHelperFunction.DisplayInterpolation(_DataRecords, _dblProportion);
}
/// <summary>
/// 获取线状要素
/// </summary>
/// <param name="pDataRecords">数据记录</param>
/// <param name="dblProp">插值参数</param>
/// <returns>在处理面状要素时，本程序将原面状要素的边界切开，按线状要素处理，处理完后再重新生成面状要素</returns>
public CPolyline GetTargetcpl(double dblProp)
{
List <CCorrCpts> pCorrCptsLt = _DataRecords.ParameterResult.CCorrCptsLt; //Read Datasets后，此处ResultPtLt中的对应点为一一对应
double dblTX = _dblTX;
//统计插值点数
int intKnownNum = 0; //须固定不参与平差的点的数目
int intUnknownNum = 0; //须参与平差的点的数目
List <int> intKnownLocationLt = new List <int>(); //记录已知点的序号
//注意：对于该循环，有一个默认条件，即FromCpl的第一个顶点只有一个对应点
for (int i = 0; i < pCorrCptsLt.Count; i++)
{
if (pCorrCptsLt[i].FrCpt.isCtrl == true)
{
intKnownLocationLt.Add(i);
intKnownNum += 1;
}
else
{
intUnknownNum += 1;
}
}
int intUnknownXY = intUnknownNum * 2; //每个点都有X、Y坐标
int intPtNum = pCorrCptsLt.Count;
int intXYNum = 2 * intPtNum;
//找出长度固定的位置(如果一个线段的前后两个点都固定，则该长度固定)
List <int> intKnownLengthLt = new List <int>();
for (int i = 0; i < intKnownLocationLt.Count - 1; i++)
{
if ((intKnownLocationLt[i + 1] - intKnownLocationLt[i]) == 1)
{
intKnownLengthLt.Add(intKnownLocationLt[i]);
}
}
int intUnknownLength = pCorrCptsLt.Count - 1 - intKnownLengthLt.Count;
//找出角度固定的位置(如果一个固定顶点的前后两个点都固定，则该角度固定)
List <int> intKnownAngleLt = new List <int>();
for (int i = 1; i < intKnownLocationLt.Count - 1; i++)
{
if ((intKnownLocationLt[i] - intKnownLocationLt[i - 1]) == 1 && (intKnownLocationLt[i + 1] - intKnownLocationLt[i]) == 1)
{
intKnownAngleLt.Add(intKnownLocationLt[i]);
}
}
int intUnknownAngle = pCorrCptsLt.Count - 2 - intKnownAngleLt.Count;
int intUnknownXYLengthAngle = intUnknownXY + intUnknownLength + intUnknownAngle;
//定义权重矩阵
VBMatrix P = new VBMatrix(intUnknownXYLengthAngle, intUnknownXYLengthAngle);
for (int i = 0; i < intUnknownXY; i++)
{
P[i, i] = 1;
}
for (int i = 0; i < intUnknownLength; i++)
{
P[intUnknownXY + i, intUnknownXY + i] = 100;
}
for (int i = 0; i < intUnknownAngle; i++)
{
P[intUnknownXY + intUnknownLength + i, intUnknownXY + intUnknownLength + i] = 10000;
}
//计算初始值矩阵X0
VBMatrix X0 = new VBMatrix(intXYNum, 1);
int intCount = 0;
for (int i = 0; i < pCorrCptsLt.Count; i++)
{
X0[intCount, 0] = (1 - dblProp) * pCorrCptsLt[i].FrCpt.X + dblProp * pCorrCptsLt[i].ToCpt.X;
X0[intCount + 1, 0] = (1 - dblProp) * pCorrCptsLt[i].FrCpt.Y + dblProp * pCorrCptsLt[i].ToCpt.Y;
intCount += 2;
}
//计算长度初始值（全部计算）
double[] adblLength0 = new double[intPtNum - 1];
for (int i = 0; i < pCorrCptsLt.Count - 1; i++)
{
double dblfrsublength = CGeoFunc.CalDis(pCorrCptsLt[i + 1].FrCpt, pCorrCptsLt[i].FrCpt);
double dbltosublength = CGeoFunc.CalDis(pCorrCptsLt[i + 1].ToCpt, pCorrCptsLt[i].ToCpt);
adblLength0[i] = (1 - dblProp) * dblfrsublength + dblProp * dbltosublength;
}
//计算角度初始值（全部计算）
double[] adblAngle0 = new double[intPtNum - 2];
for (int i = 0; i < pCorrCptsLt.Count - 2; i++)
{
//较大比例尺线状要素上的夹角
double dblfrAngle = CGeoFunc.CalAngle_Counterclockwise(pCorrCptsLt[i].FrCpt, pCorrCptsLt[i + 1].FrCpt, pCorrCptsLt[i + 2].FrCpt);
//较小比例尺线状要素上的夹角
double dbltoAngle = CGeoFunc.CalAngle_Counterclockwise(pCorrCptsLt[i].ToCpt, pCorrCptsLt[i + 1].ToCpt, pCorrCptsLt[i + 2].ToCpt);
//角度初始值
adblAngle0[i] = (1 - dblProp) * dblfrAngle + dblProp * dbltoAngle;
}
//Xmix里存储了XA和X0的最新混合值
VBMatrix Xmix = new VBMatrix(intXYNum, 1);
for (int i = 0; i < X0.Row; i++)
{
Xmix[i, 0] = X0[i, 0];
}
//定义坐标近似值矩阵XA
VBMatrix XA = new VBMatrix(intUnknownXY, 1);
int intSumCount0 = 0;
for (int i = 0; i < intUnknownNum; i++)
{
if (pCorrCptsLt[intSumCount0].FrCpt.isCtrl == false)
{
XA[i * 2, 0] = X0[intSumCount0 * 2, 0];
XA[i * 2 + 1, 0] = X0[intSumCount0 * 2 + 1, 0];
}
else
{
i -= 1;
}
intSumCount0 += 1;
}
//定义系数矩阵（有关长度和角度的值将在循环中给定）
VBMatrix A = new VBMatrix(intUnknownXYLengthAngle, intUnknownXY);
for (int i = 0; i < intUnknownXY; i++)
{
A[i, i] = 1;
}
double dblJudge1 = 0; //该值用于判断是否应该跳出循环
double dblJudge2 = 0; //该值用于判断是否应该跳出循环
int intJudgeIndex = intUnknownXY / 4;
int intIterativeCount = 0;
double[] adblSubDis = new double[intPtNum - 1];
double[] adblAngle = new double[intPtNum - 2];
double[] adblAzimuth = new double[intPtNum - 1];
VBMatrix matl = new VBMatrix(intUnknownXYLengthAngle, 1);
do
{
int intSumCount1 = 0;
for (int i = 0; i < intUnknownNum; i++)
{
if (pCorrCptsLt[intSumCount1].FrCpt.isCtrl == false)
{
matl[2 * i, 0] = XA[2 * i, 0] - X0[intSumCount1 * 2, 0];
matl[2 * i + 1, 0] = XA[2 * i + 1, 0] - X0[intSumCount1 * 2 + 1, 0];
}
else
{
i -= 1;
}
intSumCount1 += 1;
}
//计算系数矩阵A第"intUnknownXY"行到"intUnknownXY+intUnknownLength-1"行的各元素，即线段长度对各未知数求偏导的值
//先计算各分母值（注意：分母实际上是求偏导后的一部分值，但却恰好等于两点之间距离，因此其计算公式与距离计算公式相同
for (int i = 0; i < intPtNum - 1; i++)
{
adblSubDis[i] = Math.Pow((Xmix[2 * i, 0] - Xmix[2 * i + 2, 0]) * (Xmix[2 * i, 0] - Xmix[2 * i + 2, 0]) + (Xmix[2 * i + 1, 0] - Xmix[2 * i + 3, 0]) * (Xmix[2 * i + 1, 0] - Xmix[2 * i + 3, 0]), 0.5);
}
//计算新的夹角及方位角
adblAzimuth[0] = CGeoFunc.CalAxisAngle(Xmix[0, 0], Xmix[1, 0], Xmix[2, 0], Xmix[3, 0]);
for (int i = 1; i < intPtNum - 1; i++)
{
adblAngle [i - 1] = CGeoFunc.CalAngle_Counterclockwise(Xmix[i * 2 - 2, 0], Xmix[i * 2 - 1, 0], Xmix[i * 2, 0], Xmix[i * 2 + 1, 0], Xmix[i * 2 + 2, 0], Xmix[i * 2 + 3, 0]);
adblAzimuth[i] = adblAzimuth[i - 1] + adblAngle[i - 1] - Math.PI;
}
//开始计算系数矩阵第"intUnknownXY"行到"intUnknownXY+intUnknownLength-1"行的各元素
CalADevLength(pCorrCptsLt, intUnknownXY, intUnknownLength, ref A, ref matl, adblSubDis, adblAzimuth, adblLength0);
//计算系数矩阵A第"intUnknownXY+intUnknownLength"行到"intUnknownXY+intUnknownLength+intUnknownAngle"行的各元素，即角度对各未知数求偏导的值
CalADevAngle(pCorrCptsLt, intUnknownXY + intUnknownLength, intUnknownAngle, Xmix, ref A, ref matl, adblSubDis, adblAngle, adblAngle0);
////计算新的近似值
//SaveFileDialog SFD = new SaveFileDialog();
//SFD.ShowDialog();
// CHelpFuncExcel.ExportDataToExcelA(A, "maxA", SFD.FileName);
//CHelpFuncExcel.ExportDataToExcelP(P, "maxP", SFD.FileName);
//CHelpFuncExcel.ExportDataToExcel2(matl, "maxmatl", SFD.FileName);
//VBMatrix Temp =A.Trans () * P * A;
//Temp.InvertGaussJordan();
//XA -= Temp * A.Transpose() * P * matl;
//平差
VBMatrix x = InvAtPAAtPmatl(A, P, matl);
XA -= x;
//更新Xmix
int intSumCount4 = 0;
for (int i = 0; i < intUnknownNum; i++)
{
if (pCorrCptsLt[intSumCount4].FrCpt.isCtrl == false)
{
Xmix[intSumCount4 * 2, 0] = XA[i * 2, 0];
Xmix[intSumCount4 * 2 + 1, 0] = XA[i * 2 + 1, 0];
}
else
{
i -= 1;
}
intSumCount4 += 1;
}
intIterativeCount += 1;
if (intIterativeCount >= 1000)
{
break;
}
dblJudge1 = Math.Abs(x[intJudgeIndex, 0]);
dblJudge2 = Math.Abs(x[3 * intJudgeIndex, 0]);
} while ((dblJudge1 > dblTX) || (dblJudge2 > dblTX));
//生成目标线段
List <CPoint> CTargetPtLt = new List <CPoint>();
for (int i = 0; i < intPtNum; i++)
{
CPoint cpt = new CPoint(i);
cpt.X = Xmix[2 * i, 0];
cpt.Y = Xmix[2 * i + 1, 0];
CTargetPtLt.Add(cpt);
}
CPolyline cpl = new CPolyline(0, CTargetPtLt);
return(cpl);
}
private IEnumerable <CPolyline> GenerateOneSeparateLinkCplEb(CPolyline frcpl, CPolyline tocpl, int intIndex1, int intIndex2, double dblMid, string strDimension)
{
CPoint frmidLeftCpt;
CPoint tomidLeftCpt;
CPoint frmidRightCpt;
CPoint tomidRightCpt;
if (strDimension == "Time")
{
frmidLeftCpt = new CPoint(dblMid, frcpl.CptLt[intIndex1].Y);
tomidLeftCpt = new CPoint(dblMid, tocpl.CptLt[intIndex1].Y);
frmidRightCpt = new CPoint(dblMid, frcpl.CptLt[intIndex2].Y);
tomidRightCpt = new CPoint(dblMid, tocpl.CptLt[intIndex2].Y);
}
else //if (strDimension == "scale")
{
frmidLeftCpt = new CPoint(frcpl.CptLt[intIndex1].X, dblMid);
tomidLeftCpt = new CPoint(tocpl.CptLt[intIndex1].X, dblMid);
frmidRightCpt = new CPoint(frcpl.CptLt[intIndex2].X, dblMid);
tomidRightCpt = new CPoint(tocpl.CptLt[intIndex2].X, dblMid);
}
yield return(new CPolyline(frcpl.CptLt[intIndex1], frmidLeftCpt));
yield return(new CPolyline(frmidLeftCpt, tomidLeftCpt));
yield return(new CPolyline(tomidLeftCpt, tocpl.CptLt[intIndex1]));
yield return(new CPolyline(frcpl.CptLt[intIndex2], frmidRightCpt));
yield return(new CPolyline(frmidRightCpt, tomidRightCpt));
yield return(new CPolyline(tomidRightCpt, tocpl.CptLt[intIndex2]));
}
public CBSBLGOptCor(CPolyline frcpl, CPolyline tocpl)
{
_FromCpl = frcpl;
_ToCpl = tocpl;
}
//Stopwatch _pstopwatch = new Stopwatch();
#region Output
public List <CPolyline> Output(double dblT, double dblS, IRgbColor olIRgbColor, IRgbColor nlIRgbColor, double dblExtraX = 300, double dblExtraY = 300)
{
var strTS = _ParameterInitialize.strTS;
var dblt = dblT;
var dbls = dblS;
if (strTS == "vario_vario")
{
}
else if (strTS == "vario_separate")
{
dbls = SetForSeparate(dblS, 0.5);
}
else if (strTS == "separate_vario")
{
dblt = SetForSeparate(dblT, 0.5);
}
else //if (strTS == "separate_separate")
{
dblt = SetForSeparate(dblT, 0.5);
dbls = SetForSeparate(dblS, 0.5);
}
double dblRTime = CGeoFunc.GetInbetweenDbl(olIRgbColor.Red, nlIRgbColor.Red, dblt);
double dblGTime = CGeoFunc.GetInbetweenDbl(olIRgbColor.Green, nlIRgbColor.Green, dblt);
double dblBTime = CGeoFunc.GetInbetweenDbl(olIRgbColor.Blue, nlIRgbColor.Blue, dblt);
int intRTS = Convert.ToInt32(CGeoFunc.GetInbetweenDbl(dblRTime, CGeoFunc.GetInbetweenDbl(dblRTime, 255, 0.8), dbls));
int intGTS = Convert.ToInt32(CGeoFunc.GetInbetweenDbl(dblGTime, CGeoFunc.GetInbetweenDbl(dblGTime, 255, 0.8), dbls));
int intBTS = Convert.ToInt32(CGeoFunc.GetInbetweenDbl(dblBTime, CGeoFunc.GetInbetweenDbl(dblBTime, 255, 0.8), dbls));
var olcpl = _OLCplLt[0];
var oscpl = _OSCplLt[0];
var nlcpl = _NLCplLt[0];
var nscpl = _NSCplLt[0];
var olcplmoved = olcpl;
var oscplmoved = oscpl.Move(0, -dblExtraY);
var nlcplmoved = nlcpl.Move(-dblExtraX, 0);
var nscplmoved = nscpl.Move(-dblExtraX, -dblExtraY);
var InterLargerCpl = CGeoFunc.GetInbetweenCpl(olcplmoved, nlcplmoved, dblt);
var InterSmallerCpl = CGeoFunc.GetInbetweenCpl(oscplmoved, nscplmoved, dblt);
var InterCpl = CGeoFunc.GetInbetweenCpl(InterLargerCpl, InterSmallerCpl, dbls);
//var simplifedcpllt = CDPSimplify.DPSimplify(CHelpFunc.MakeLt(InterCpl), dblThresholdDis: 300000 * CConstants.dblVerySmallCoord);
int intPtNum = olcpl.CptLt.Count - 1;
var simplifedcpllt = CDPSimplify.DPSimplify(CHelpFunc.MakeLt(InterCpl), dblRemainPoints: intPtNum * ((1 - dbls) * 3 + 1) / 4);
//var simplifedcptlt = CImaiIriSimplify.ImaiIriSimplify(InterCpl.CptLt, 100000 * CConstants.dblVerySmallCoord).ToList();
//CDPSimplify.dp
//CSaveFeature.SaveCpl(InterLargerCpl, "InterLargerCpl_" + dblT.ToString() + " " + dblS.ToString());
//CSaveFeature.SaveCpl(InterSmallerCpl, "InterSmallerCpl_" + dblT.ToString() + " " + dblS.ToString());
//CSaveFeature.SaveCpl(InterCpl, "InterCpl_" + dblT.ToString() + " " + dblS.ToString());
var dblBaseX = dblT * dblExtraX;
var dblBaseY = dblS * dblExtraY;
var movedInterCpl = new CPolyline(0, CGeoFunc.MoveCptEb(simplifedcpllt[0].CptLt, dblBaseX, dblBaseY).ToList());
//CSaveFeature.SaveCpl(movedInterCpl, dblT.ToString() + " " + dblS.ToString());
var movedInterCpg = new CPolygon(movedInterCpl.CptLt);
CSaveFeature.SaveCpg(movedInterCpg, dblT.ToString() + " " + dblS.ToString(), intRed: intRTS, intGreen: intGTS, intBlue: intBTS);
var cpbLt = new List <CPolyBase>
{
movedInterCpl
};
CCreatePointLayer.SavePointLayer(cpbLt, dblT.ToString() + " " + dblS.ToString(), 3);
return(CHelpFunc.MakeLt(movedInterCpl));
//var a00 = (1 - x) * (1 - y); //lower left
//var a10 = x * (1 - y); //lower right
//var a01 = (1 - x) * y; //upper left
//var a11 = x * y; //upper right
////var dblDiffX = _NSCplLt[0].CptLt[0].X - _OLCplLt[0].CptLt[0].X;
////var dblDiffY = _NSCplLt[0].CptLt[0].Y - _OLCplLt[0].CptLt[0].Y;
//var dblDiffX = 300;
//var dblDiffY = 400;
////var dblDiffXPlus= dblDiffX+
//var dblBaseX = dblT * dblDiffX;
//var dblBaseY = dblS * dblDiffY;
//var newCplLt = new List<CPolyline>(_OLCplLt.Count);
//for (int i = 0; i < _OLCplLt.Count; i++)
//{
// var olcpl = _OLCplLt[i];
// var oscpl = _OSCplLt[i];
// var nlcpl = _NLCplLt[i];
// var nscpl = _NSCplLt[i];
// var newcptlt = new List<CPoint>(olcpl.CptLt.Count);
// for (int j = 0; j < olcpl.CptLt.Count; j++)
// {
// var dblX = BilinearInterpolateUnit(a00, a10, a01, a11,
// olcpl.CptLt[j].X - olcpl.CptLt[j].X, nlcpl.CptLt[j].X - olcpl.CptLt[j].X - dblDiffX,
// oscpl.CptLt[j].X - olcpl.CptLt[j].X, nscpl.CptLt[j].X - olcpl.CptLt[j].X - dblDiffX);
// var dblY = BilinearInterpolateUnit(a00, a10, a01, a11,
// olcpl.CptLt[j].Y - olcpl.CptLt[j].Y, nlcpl.CptLt[j].Y - olcpl.CptLt[j].Y,
// oscpl.CptLt[j].Y - olcpl.CptLt[j].Y - dblDiffY, nscpl.CptLt[j].Y - olcpl.CptLt[j].Y - dblDiffY);
// newcptlt.Add(new CPoint(j, dblX + dblBaseX + olcpl.CptLt[j].X, dblY + dblBaseY + olcpl.CptLt[j].Y));
// }
// CImaiIriSimplify.ImaiIriSimplify(newcptlt, CConstants.dblVerySmallCoord);
// newCplLt.Add(new CPolyline(i, newcptlt));
//}
//CSaveFeature.SaveCplEb(newCplLt, dblT.ToString() + " " + dblS.ToString());
}
/// <summary>
/// 获取线状要素
/// </summary>
/// <param name="pDataRecords">数据记录</param>
/// <param name="dblProp">插值参数</param>
/// <returns>在处理面状要素时，本程序将原面状要素的边界切开，按线状要素处理，处理完后再重新生成面状要素</returns>
public CPolyline GetTargetcpl(double dblProp)
{
CParameterResult pParameterResult = _DataRecords.ParameterResult;
//获取周长
double dblFrLength = pParameterResult.FromCpl.pPolyline.Length;
double dblToLength = pParameterResult.ToCpl.pPolyline.Length;
//确定循环阈值（初始多边形平均边长的千分之一）
double dblTX = dblFrLength / pParameterResult.FromCpl.CptLt.Count / 1000;
List <CCorrCpts> pCorrCptsLt = pParameterResult.CCorrCptsLt; //读取数据后，此处ResultPtLt中的对应点为一一对应
//pCorrCptsLt[2].FrCpt.isCtrl = false;
//pCorrCptsLt[2].CorrespondingPtLt[0].FrCpt.isCtrl = false;
//统计插值点数
int intKnownNum = 0; //须固定不参与平差的点的数目
int intUnknownNum = 0; //须参与平差的点的数目
List <int> intKnownLocationLt = new List <int>(); //记录已知点的序号
//注意：对于该循环，有一个默认条件，即FromCpl的第一个顶点只有一个对应点
for (int i = 0; i < pCorrCptsLt.Count; i++)
{
if (pCorrCptsLt[i].FrCpt.isCtrl == true)
{
intKnownLocationLt.Add(i);
intKnownNum += 1;
}
else
{
intUnknownNum += 1;
}
}
int intSumNum = intKnownNum + intUnknownNum;
int intUnknownXY = intUnknownNum * 2; //每个点都有X、Y坐标
int intSumXY = intSumNum * 2; //每个点都有X、Y坐标
//找出长度固定的位置(如果一个线段的前后两个点都固定，则该长度固定)
List <int> intKnownLengthLt = new List <int>();
for (int i = 0; i < intKnownLocationLt.Count - 1; i++)
{
if ((intKnownLocationLt[i + 1] - intKnownLocationLt[i]) == 1)
{
intKnownLengthLt.Add(intKnownLocationLt[i]);
}
}
int intUnknownLength = pCorrCptsLt.Count - 1 - intKnownLengthLt.Count;
//找出角度固定的位置(如果一个固定顶点的前后两个点都固定，则该角度固定)
List <int> intKnownAngleLt = new List <int>();
for (int i = 1; i < intKnownLocationLt.Count - 1; i++)
{
if ((intKnownLocationLt[i] - intKnownLocationLt[i - 1]) == 1 && (intKnownLocationLt[i + 1] - intKnownLocationLt[i]) == 1)
{
intKnownAngleLt.Add(intKnownLocationLt[i]);
}
}
int intUnknownAngle = pCorrCptsLt.Count - 2 - intKnownAngleLt.Count;
int intUnknownXYLengthAngle = intUnknownXY + intUnknownLength + intUnknownAngle;
//定义权重矩阵
VBMatrix P = new VBMatrix(intUnknownXYLengthAngle, intUnknownXYLengthAngle);
for (int i = 0; i < intUnknownXY; i++)
{
P[i, i] = 1;
}
for (int i = 0; i < intUnknownLength; i++)
{
P[intUnknownXY + i, intUnknownXY + i] = 10;
}
for (int i = 0; i < intUnknownAngle; i++)
{
P[intUnknownXY + intUnknownLength + i, intUnknownXY + intUnknownLength + i] = 100;
}
//计算初始值矩阵X0
VBMatrix X0 = new VBMatrix(intSumXY, 1);
int intCount = 0;
for (int i = 0; i < pCorrCptsLt.Count; i++)
{
X0[intCount, 0] = (1 - dblProp) * pCorrCptsLt[i].FrCpt.X + dblProp * pCorrCptsLt[i].ToCpt.X;
X0[intCount + 1, 0] = (1 - dblProp) * pCorrCptsLt[i].FrCpt.Y + dblProp * pCorrCptsLt[i].ToCpt.Y;
intCount += 2;
}
//计算长度初始值（全部计算）
double[] adblLength0 = new double[intSumNum - 1];
for (int i = 0; i < pCorrCptsLt.Count - 1; i++)
{
double dblfrsublength = Math.Pow((pCorrCptsLt[i + 1].ToCpt.X - pCorrCptsLt[i].ToCpt.X) * (pCorrCptsLt[i + 1].ToCpt.X - pCorrCptsLt[i].ToCpt.X)
+ (pCorrCptsLt[i + 1].ToCpt.Y - pCorrCptsLt[i].ToCpt.Y) * (pCorrCptsLt[i + 1].ToCpt.Y - pCorrCptsLt[i].ToCpt.Y), 0.5);
double dbltosublength = Math.Pow((pCorrCptsLt[i + 1].ToCpt.X - pCorrCptsLt[i].ToCpt.X) * (pCorrCptsLt[i + 1].ToCpt.X - pCorrCptsLt[i].ToCpt.X)
+ (pCorrCptsLt[i + 1].ToCpt.Y - pCorrCptsLt[i].ToCpt.Y) * (pCorrCptsLt[i + 1].ToCpt.Y - pCorrCptsLt[i].ToCpt.Y), 0.5);
adblLength0[i] = (1 - dblProp) * dblfrsublength + dblProp * dbltosublength;
}
//计算角度初始值（全部计算）
double[] adblAngle0 = new double[intSumNum - 2];
for (int i = 0; i < pCorrCptsLt.Count - 2; i++)
{
//较大比例尺线状要素上的夹角
double dblfrAngle = CGeoFunc.CalAngle_Counterclockwise(pCorrCptsLt[i].FrCpt, pCorrCptsLt[i + 1].FrCpt, pCorrCptsLt[i + 2].FrCpt);
//较小比例尺线状要素上的夹角
double dbltoAngle = CGeoFunc.CalAngle_Counterclockwise(pCorrCptsLt[i].ToCpt, pCorrCptsLt[i + 1].ToCpt, pCorrCptsLt[i + 2].ToCpt);
//角度初始值
adblAngle0[i] = (1 - dblProp) * dblfrAngle + dblProp * dbltoAngle;
}
//Xmix里存储了XA和X0的最新混合值
VBMatrix Xmix = new VBMatrix(intSumXY, 1);
for (int i = 0; i < X0.Row; i++)
{
Xmix[i, 0] = X0[i, 0];
}
//定义坐标近似值矩阵XA
VBMatrix XA = new VBMatrix(intUnknownXY, 1);
int intKnownCount = 0;
for (int i = 0; i < intUnknownNum; i++)
{
if ((i + intKnownCount) != intKnownLocationLt[intKnownCount]) //当前遍历位置“i + intKnownCount”是否在intKnownLocationLt的位置“intKnownCount”中记录
{
XA[i * 2, 0] = X0[(i + intKnownCount) * 2, 0];
XA[i * 2 + 1, 0] = X0[(i + intKnownCount) * 2 + 1, 0];
}
else
{
intKnownCount += 1;
i -= 1;
}
}
//定义系数矩阵（有关长度和角度的值将在循环中给定）
VBMatrix A = new VBMatrix(intUnknownXYLengthAngle, intUnknownXY);
for (int i = 0; i < intUnknownXY; i++)
{
A[i, i] = 1;
}
double dblJudge = 0; //该值用于判断是否应该跳出循环
double dblOldJudege = 0;
int intIterativeCount = 0;
double[] dblSubDis = new double[intSumNum - 1];
VBMatrix matl = new VBMatrix(intUnknownXYLengthAngle, 1);
do
{
matl = new VBMatrix(intUnknownXYLengthAngle, 1);
int intSumCount1 = 0;
for (int i = 0; i < intUnknownNum; i++)
{
if (pCorrCptsLt[intSumCount1].FrCpt.isCtrl == false)
{
matl[2 * i, 0] = XA[2 * i, 0] - X0[intSumCount1 * 2, 0];
matl[2 * i + 1, 0] = XA[2 * i + 1, 0] - X0[intSumCount1 * 2 + 1, 0];
}
else
{
i -= 1;
}
intSumCount1 += 1;
}
//计算系数矩阵A第"intUnknownXY"行到"intUnknownXY+intUnknownLength-1"行的各元素，即线段长度对各未知数求偏导的值
//先计算各分母值（注意：分母实际上是求偏导后的一部分值，但却恰好等于两点之间距离，因此其计算公式与距离计算公式相同
dblSubDis = new double[intSumNum - 1];
for (int i = 0; i < intSumNum - 1; i++)
{
dblSubDis[i] = Math.Pow((Xmix[2 * i, 0] - Xmix[2 * i + 2, 0]) * (Xmix[2 * i, 0] - Xmix[2 * i + 2, 0]) + (Xmix[2 * i + 1, 0] - Xmix[2 * i + 3, 0]) * (Xmix[2 * i + 1, 0] - Xmix[2 * i + 3, 0]), 0.5);
}
//开始计算系数矩阵第"intUnknownXY"行到"intUnknownXY+intUnknownLength-1"行的各元素
int intKnownCount2 = 0;
int intUnKnownCount2 = 0;
for (int j = 0; j < intUnknownLength; j++)
{
try
{
int intSumCount = intKnownCount2 + intUnKnownCount2;
if (pCorrCptsLt[intSumCount].FrCpt.isCtrl == false && pCorrCptsLt[intSumCount + 1].FrCpt.isCtrl == false)
{
A[intUnknownXY + j, 2 * intUnKnownCount2 + 0] = (Xmix[2 * intSumCount, 0] - Xmix[2 * intSumCount + 2, 0]) / dblSubDis[intSumCount];
A[intUnknownXY + j, 2 * intUnKnownCount2 + 1] = (Xmix[2 * intSumCount + 1, 0] - Xmix[2 * intSumCount + 3, 0]) / dblSubDis[intSumCount];
A[intUnknownXY + j, 2 * intUnKnownCount2 + 2] = -A[intUnknownXY + j, 2 * intUnKnownCount2];
A[intUnknownXY + j, 2 * intUnKnownCount2 + 3] = -A[intUnknownXY + j, 2 * intUnKnownCount2 + 1];
matl[intUnknownXY + j, 0] = dblSubDis[intSumCount] - adblLength0[intSumCount]; //图方便，顺便计算matl
intUnKnownCount2 += 1;
}
else if (pCorrCptsLt[intSumCount].FrCpt.isCtrl == false && pCorrCptsLt[intSumCount + 1].FrCpt.isCtrl == true)
{
A[intUnknownXY + j, 2 * intUnKnownCount2 + 0] = (Xmix[2 * intSumCount, 0] - Xmix[2 * intSumCount + 2, 0]) / dblSubDis[intSumCount];
A[intUnknownXY + j, 2 * intUnKnownCount2 + 1] = (Xmix[2 * intSumCount + 1, 0] - Xmix[2 * intSumCount + 3, 0]) / dblSubDis[intSumCount];
matl[intUnknownXY + j, 0] = dblSubDis[intSumCount] - adblLength0[intSumCount]; //图方便，顺便计算matl
intUnKnownCount2 += 1;
}
else if (pCorrCptsLt[intSumCount].FrCpt.isCtrl == true && pCorrCptsLt[intSumCount + 1].FrCpt.isCtrl == false)
{
//注意这种情况，由于"pCorrCptsLt[intSumCount].FrCpt.isCtrl == true"不占位子（即不占列），因此列序号依然为" 2 * intUnKnownCount2 + 0"和" 2 * intUnKnownCount2 + 1"，而不是+2,+3
A[intUnknownXY + j, 2 * intUnKnownCount2 + 0] = -(Xmix[2 * intSumCount, 0] - Xmix[2 * intSumCount + 2, 0]) / dblSubDis[intSumCount];
A[intUnknownXY + j, 2 * intUnKnownCount2 + 1] = -(Xmix[2 * intSumCount + 1, 0] - Xmix[2 * intSumCount + 3, 0]) / dblSubDis[intSumCount];
matl[intUnknownXY + j, 0] = dblSubDis[intSumCount] - adblLength0[intSumCount]; //图方便，顺便计算matl
intKnownCount2 += 1;
}
else
{
intKnownCount2 += 1;
j -= 1;
}
}
catch (Exception e)
{
throw;
}
}
//计算系数矩阵A第"intUnknownXY+intUnknownLength"行到"intUnknownXY+intUnknownLength+intUnknownAngle"行的各元素，即角度对各未知数求偏导的值
int intKnownCount3 = 0;
int intUnKnownCount3 = 0;
int intUnKnownXYLength = intUnknownXY + intUnknownLength;
for (int j = 0; j < intUnknownAngle; j++)
{
//真是太幸运了，虽然求两向量逆时针夹角时需分多种情况讨论，但各情况的导数形式却是一致的，节省了不少编程精力啊，哈哈
int intSumCount = intKnownCount3 + intUnKnownCount3;
//常用数据准备
double dblA2 = dblSubDis[intSumCount] * dblSubDis[intSumCount];
double dblB2 = dblSubDis[intSumCount + 1] * dblSubDis[intSumCount + 1];
//开始计算系数值，由于将以下三个情况排列组合将有八种情况，因此按如下方式计算
if (pCorrCptsLt[intUnKnownCount3 + intKnownCount3].FrCpt.isCtrl == true && pCorrCptsLt[intUnKnownCount3 + intKnownCount3 + 1].FrCpt.isCtrl == true && pCorrCptsLt[intUnKnownCount3 + intKnownCount3 + 2].FrCpt.isCtrl == true)
{
intKnownCount3 += 1;
j -= 1;
}
else
{
double dblNewAngle = CGeoFunc.CalAngle_Counterclockwise(Xmix[2 * intSumCount + 0, 0], Xmix[2 * intSumCount + 1, 0],
Xmix[2 * intSumCount + 2, 0], Xmix[2 * intSumCount + 3, 0],
Xmix[2 * intSumCount + 4, 0], Xmix[2 * intSumCount + 5, 0]);
matl[intUnKnownXYLength + j, 0] = dblNewAngle - adblAngle0[intSumCount]; //图方便，顺便计算matl
int intPreTrueNum = 0;
int intUnKnownCount3orginal = intUnKnownCount3;
int intKnownCount3orginal = intKnownCount3;
if (pCorrCptsLt[intUnKnownCount3orginal + intKnownCount3 + 0].FrCpt.isCtrl == false)
{
A[intUnKnownXYLength + j, 2 * intUnKnownCount3orginal + 0] = -(Xmix[2 * intSumCount + 1, 0] - Xmix[2 * intSumCount + 3, 0]) / dblA2;
A[intUnKnownXYLength + j, 2 * intUnKnownCount3orginal + 1] = (Xmix[2 * intSumCount + 0, 0] - Xmix[2 * intSumCount + 2, 0]) / dblA2;
intUnKnownCount3 += 1;
}
else
{
intPreTrueNum += 1;
intKnownCount3 += 1;
}
if (pCorrCptsLt[intUnKnownCount3orginal + intKnownCount3orginal + 1].FrCpt.isCtrl == false) //注意：对中间点的X、Y求导时，其导数由两部分组成，且为第二部分和第一部分的差
{
A[intUnKnownXYLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 2] = (Xmix[2 * intSumCount + 5, 0] - Xmix[2 * intSumCount + 3, 0]) / dblB2 - (Xmix[2 * intSumCount + 1, 0] - Xmix[2 * intSumCount + 3, 0]) / dblA2;
A[intUnKnownXYLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 3] = -(Xmix[2 * intSumCount + 4, 0] - Xmix[2 * intSumCount + 2, 0]) / dblB2 + (Xmix[2 * intSumCount + 0, 0] - Xmix[2 * intSumCount + 2, 0]) / dblA2;
}
else
{
intPreTrueNum += 1;
}
if (pCorrCptsLt[intUnKnownCount3orginal + intKnownCount3orginal + 2].FrCpt.isCtrl == false)
{
A[intUnKnownXYLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 4] = -(Xmix[2 * intSumCount + 5, 0] - Xmix[2 * intSumCount + 3, 0]) / dblB2;
A[intUnKnownXYLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 5] = (Xmix[2 * intSumCount + 4, 0] - Xmix[2 * intSumCount + 2, 0]) / dblB2;
}
}
#region 用余弦值求夹角，无法判定角度方向，效果不好
//int intSumCount = intKnownCount3 + intUnKnownCount3;
////常用数据准备
//double dblA2 = dblSubDis[intSumCount] * dblSubDis[intSumCount];
//double dblB2 = dblSubDis[intSumCount + 1] * dblSubDis[intSumCount + 1];
//double dblAB = dblSubDis[intSumCount] * dblSubDis[intSumCount + 1];
//double dblC2 = (Xmix[2 * intSumCount, 0] - Xmix[2 * intSumCount + 4, 0]) * (Xmix[2 * intSumCount, 0] - Xmix[2 * intSumCount + 4, 0])
// + (Xmix[2 * intSumCount + 1, 0] - Xmix[2 * intSumCount + 5, 0]) * (Xmix[2 * intSumCount + 1, 0] - Xmix[2 * intSumCount + 5, 0]);
//double dblA2B2mC2 = dblA2 + dblB2 - dblC2;
//double dblpart = 1 / Math.Sqrt(4 * dblA2 * dblB2 - dblA2B2mC2 * dblA2B2mC2);
////开始计算系数值，由于将以下三个情况排列组合将有八种情况，因此按如下方式计算
//if (pCorrCptsLt[intUnKnownCount3 + intKnownCount3].FrCpt.isCtrl == true && pCorrCptsLt[intUnKnownCount3 + intKnownCount3 + 1].FrCpt.isCtrl == true && pCorrCptsLt[intUnKnownCount3 + intKnownCount3 + 2].FrCpt.isCtrl == true)
//{
// intKnownCount3 += 1;
// j -= 1;
//}
//else
//{
// matl[intUnKnownXYLength + j, 0] = Math.Acos(dblA2B2mC2 / 2 / dblAB) - adblAngle0[intSumCount]; //图方便，顺便计算matl
// int intPreTrueNum = 0;
// int intUnKnownCount3orginal = intUnKnownCount3;
// int intKnownCount3orginal = intKnownCount3;
// if (pCorrCptsLt[intUnKnownCount3orginal + intKnownCount3 + 0].FrCpt.isCtrl == false)
// {
// A[intUnKnownXYLength + j, 2 * intUnKnownCount3orginal + 0] = dblpart * (2 * dblA2 * (Xmix[2 * intSumCount + 2, 0] - Xmix[2 * intSumCount + 4, 0]) + dblA2B2mC2 * (Xmix[2 * intSumCount + 0, 0] - Xmix[2 * intSumCount + 2, 0])) / dblA2;
// A[intUnKnownXYLength + j, 2 * intUnKnownCount3orginal + 1] = dblpart * (2 * dblA2 * (Xmix[2 * intSumCount + 3, 0] - Xmix[2 * intSumCount + 5, 0]) + dblA2B2mC2 * (Xmix[2 * intSumCount + 1, 0] - Xmix[2 * intSumCount + 3, 0])) / dblA2;
// intUnKnownCount3 += 1;
// }
// else
// {
// intPreTrueNum += 1;
// intKnownCount3 += 1;
// }
// if (pCorrCptsLt[intUnKnownCount3orginal + intKnownCount3orginal + 1].FrCpt.isCtrl == false)
// {
// A[intUnKnownXYLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 2] = dblpart * (2 * dblAB * (Xmix[2 * intSumCount + 4, 0] + Xmix[2 * intSumCount + 0, 0] - 2 * Xmix[2 * intSumCount + 2, 0]) + dblA2B2mC2 * (dblB2 * (Xmix[2 * intSumCount + 2, 0] - Xmix[2 * intSumCount + 0, 0]) + dblA2 * (Xmix[2 * intSumCount + 2, 0] - Xmix[2 * intSumCount + 4, 0]))) / dblAB;
// A[intUnKnownXYLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 3] = dblpart * (2 * dblAB * (Xmix[2 * intSumCount + 5, 0] + Xmix[2 * intSumCount + 1, 0] - 2 * Xmix[2 * intSumCount + 3, 0]) + dblA2B2mC2 * (dblB2 * (Xmix[2 * intSumCount + 3, 0] - Xmix[2 * intSumCount + 1, 0]) + dblA2 * (Xmix[2 * intSumCount + 3, 0] - Xmix[2 * intSumCount + 5, 0]))) / dblAB;
// }
// else
// {
// intPreTrueNum += 1;
// }
// if (pCorrCptsLt[intUnKnownCount3orginal + intKnownCount3orginal + 2].FrCpt.isCtrl == false)
// {
// A[intUnKnownXYLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 4] = dblpart * (2 * dblB2 * (Xmix[2 * intSumCount + 2, 0] - Xmix[2 * intSumCount + 0, 0]) + dblA2B2mC2 * (Xmix[2 * intSumCount + 4, 0] - Xmix[2 * intSumCount + 2, 0])) / dblB2;
// A[intUnKnownXYLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 5] = dblpart * (2 * dblA2 * (Xmix[2 * intSumCount + 3, 0] - Xmix[2 * intSumCount + 1, 0]) + dblA2B2mC2 * (Xmix[2 * intSumCount + 5, 0] - Xmix[2 * intSumCount + 3, 0])) / dblB2;
// }
//}
#endregion
}
//记录一个值以协助判断是否可以退出循环
double dblLast = XA[0, 0];
////计算新的近似值
//SaveFileDialog SFD = new SaveFileDialog();
//SFD.ShowDialog();
// CHelpFuncExcel.ExportDataToExcelA(A, "maxA", SFD.FileName);
//CHelpFuncExcel.ExportDataToExcelP(P, "maxP", SFD.FileName);
//CHelpFuncExcel.ExportDataToExcel2(matl, "maxmatl", SFD.FileName);
//VBMatrix Temp =A.Trans () * P * A;
//Temp.InvertGaussJordan();
//XA -= Temp * A.Transpose() * P * matl;
XA -= InvAtPAAtPmatl(A, P, matl);
//更新Xmix和matl
int intKnownCount4 = 0;
for (int i = 0; i < intUnknownNum; i++)
{
if ((i + intKnownCount4) != intKnownLocationLt[intKnownCount4])
{
Xmix[(i + intKnownCount4) * 2, 0] = XA[i * 2, 0];
Xmix[(i + intKnownCount4) * 2 + 1, 0] = XA[i * 2 + 1, 0];
}
else
{
intKnownCount4 += 1;
i -= 1;
}
}
dblJudge = Math.Abs(dblLast - XA[0, 0]);
intIterativeCount += 1;
if (intIterativeCount >= 10000)
{
break;
}
if (dblOldJudege == dblJudge)
{
break;
}
dblOldJudege = dblJudge;
} while (dblJudge > dblTX);
//生成目标线段
List <CPoint> CTargetPtLt = new List <CPoint>();
for (int i = 0; i < intSumNum; i++)
{
CPoint cpt = new CPoint(i);
cpt.X = Xmix[2 * i, 0];
cpt.Y = Xmix[2 * i + 1, 0];
CTargetPtLt.Add(cpt);
}
CPolyline cpl = new CPolyline(0, CTargetPtLt);
return(cpl);
}
private void btnAdd_Click(object sender, EventArgs e)
{
_dblProp = _dblProp + 0.02;
pbScale.Value = Convert.ToInt16(100 * _dblProp);
_RelativeInterpolationCpl = CHelpFunc.DisplayInterpolation(_DataRecords, _dblProp);
}
/// <summary>
/// 获取线状要素
/// </summary>
/// <param name="intInterNum">Inter: Interpolation</param>
/// <returns>在处理面状要素时，本程序将原面状要素的边界切开，按线状要素处理，处理完后再重新生成面状要素</returns>
public List <CPolyline> GetTargetcpllt()
{
int intIterationNum = Convert.ToInt32(_DataRecords.ParameterInitialize.txtIterationNum.Text);
int intInterNum = Convert.ToInt32(_DataRecords.ParameterInitialize.txtInterpolationNum.Text);
List <CCorrCpts> pCorrCptsLt = _DataRecords.ParameterResult.CCorrCptsLt; //读取数据后，此处ResultPtLt中的对应点为一一对应
double dblTX = _dblTX;
double dblInterval = 1 / Convert.ToDouble(intInterNum + 1);
int intPtNum = pCorrCptsLt.Count;
int intXYNum = intPtNum * 2;
int intMultiXYNum = intInterNum * intXYNum;
//计算长度初始值（全部计算）
double[,] adblLength0 = new double[intInterNum, intPtNum - 1];
double[,] adblLength = new double[intInterNum, intPtNum - 1]; //顺便定义中间值数组
for (int j = 0; j < pCorrCptsLt.Count - 1; j++)
{
double dblfrsublength = CGeoFunc.CalDis(pCorrCptsLt[j + 1].FrCpt, pCorrCptsLt[j].FrCpt);
double dbltosublength = CGeoFunc.CalDis(pCorrCptsLt[j + 1].ToCpt, pCorrCptsLt[j].ToCpt);
for (int i = 0; i < intInterNum; i++)
{
double dblProp = (i + 1) * dblInterval;
adblLength0[i, j] = (1 - dblProp) * dblfrsublength + dblProp * dbltosublength;
}
//pCorrCptsLt[j].FrCpt.isCtrl = false; //仅以最开始两对和最终两队对应点为固定点，故此先设置为false
}
//计算角度初始值（全部计算）
double[,] adblAngle0 = new double[intInterNum, intPtNum - 2];
double[,] adblAngle = new double[intInterNum, intPtNum - 2];
for (int j = 0; j < pCorrCptsLt.Count - 2; j++)
{
//较大比例尺线状要素上的夹角
double dblfrAngle = CGeoFunc.CalAngle_Counterclockwise(pCorrCptsLt[j].FrCpt, pCorrCptsLt[j + 1].FrCpt, pCorrCptsLt[j + 2].FrCpt);
//较小比例尺线状要素上的夹角
double dbltoAngle = CGeoFunc.CalAngle_Counterclockwise(pCorrCptsLt[j].ToCpt, pCorrCptsLt[j + 1].ToCpt, pCorrCptsLt[j + 2].ToCpt);
//角度初始值
for (int i = 0; i < intInterNum; i++)
{
double dblProp = (i + 1) * dblInterval;
adblAngle0[i, j] = (1 - dblProp) * dblfrAngle + dblProp * dbltoAngle;
}
}
//多线段间对应顶点距离初始值（全部计算），全部设置为0
//目标值也设置为0
double[,] adblIntervalDis0 = new double[intInterNum + 1, intPtNum];
double[,] adblIntervalDis = new double[intInterNum + 1, intPtNum]; //顺便定义中间值数组
for (int j = 0; j < pCorrCptsLt.Count; j++)
{
//长度初始值
for (int i = 0; i <= intInterNum; i++)
{
adblIntervalDis0[i, j] = 0;
adblIntervalDis[i, j] = 0;
}
}
//计算坐标初始值，以及各线段方位角初始值
//注意：默认固定第一条边
pCorrCptsLt[0].FrCpt.isCtrl = true;
pCorrCptsLt[1].FrCpt.isCtrl = true;
VBMatrix X0 = new VBMatrix(intMultiXYNum, 1);
double[,] adblAzimuth = new double[intInterNum, intPtNum - 1];
for (int i = 0; i < intInterNum; i++)
{
double dblProp = (i + 1) * dblInterval;
double dblnewX0 = (1 - dblProp) * pCorrCptsLt[0].FrCpt.X + dblProp * pCorrCptsLt[0].ToCpt.X;
double dblnewY0 = (1 - dblProp) * pCorrCptsLt[0].FrCpt.Y + dblProp * pCorrCptsLt[0].ToCpt.Y;
double dblnewX1 = (1 - dblProp) * pCorrCptsLt[1].FrCpt.X + dblProp * pCorrCptsLt[1].ToCpt.X;
double dblnewY1 = (1 - dblProp) * pCorrCptsLt[1].FrCpt.Y + dblProp * pCorrCptsLt[1].ToCpt.Y;
adblAzimuth[i, 0] = CGeoFunc.CalAxisAngle(dblnewX0, dblnewY0, dblnewX1, dblnewY1);
int intBasicIndex = i * intXYNum;
X0[intBasicIndex + 0, 0] = dblnewX0;
X0[intBasicIndex + 1, 0] = dblnewY0;
X0[intBasicIndex + 2, 0] = dblnewX1;
X0[intBasicIndex + 3, 0] = dblnewY1;
}
//其它点
//是否固定最后两个点
pCorrCptsLt[pCorrCptsLt.Count - 2].FrCpt.isCtrl = true;
pCorrCptsLt[pCorrCptsLt.Count - 1].FrCpt.isCtrl = true;
for (int j = 2; j < intPtNum; j++)
{
for (int i = 0; i < intInterNum; i++)
{
int intBasicIndexIJ = i * intXYNum + 2 * j;
double dblProp = (i + 1) * dblInterval;
X0[intBasicIndexIJ + 0, 0] = (1 - dblProp) * pCorrCptsLt[j].FrCpt.X + dblProp * pCorrCptsLt[j].ToCpt.X;
X0[intBasicIndexIJ + 1, 0] = (1 - dblProp) * pCorrCptsLt[j].FrCpt.Y + dblProp * pCorrCptsLt[j].ToCpt.Y;
double dblAngle = CGeoFunc.CalAngle_Counterclockwise(X0[intBasicIndexIJ - 4, 0], X0[intBasicIndexIJ - 3, 0], X0[intBasicIndexIJ - 2, 0], X0[intBasicIndexIJ - 1, 0], X0[intBasicIndexIJ - 0, 0], X0[intBasicIndexIJ + 1, 0]); //计算实际夹角
adblAzimuth[i, j - 1] = adblAzimuth[i, j - 2] + dblAngle - Math.PI;
}
}
//for (int j = 2; j < intPtNum; j++)
//{
// if (pCorrCptsLt[j].FrCpt.isCtrl == false)
// {
// for (int i = 0; i < intInterNum; i++)
// {
// int intBasicIndexI = i * intXYNum;
// adblAzimuth[i, j - 1] = adblAzimuth[i, j - 2] + adblAngle0[i, j - 2] - Math.PI;
// X0[intBasicIndexI + 2 * j + 0, 0] = X0[intBasicIndexI + 2 * (j - 1) + 0, 0] + adblLength0[i, j - 1] * Math.Cos(adblAzimuth[i, j - 1]);
// X0[intBasicIndexI + 2 * j + 1, 0] = X0[intBasicIndexI + 2 * (j - 1) + 1, 0] + adblLength0[i, j - 1] * Math.Sin(adblAzimuth[i, j - 1]);
// }
// }
// else
// {
// for (int i = 0; i < intInterNum; i++)
// {
// int intBasicIndexIJ = i * intXYNum + 2 * j;
// double dblProp = (i + 1) * dblInterval;
// X0[intBasicIndexIJ + 0, 0] = (1 - dblProp) * pCorrCptsLt[j].FrCpt.X + dblProp * pCorrCptsLt[j].ToCpt.X;
// X0[intBasicIndexIJ + 1, 0] = (1 - dblProp) * pCorrCptsLt[j].FrCpt.Y + dblProp * pCorrCptsLt[j].ToCpt.Y;
// double dblAngle = CGeoFunc.CalAngle_Counterclockwise(X0[intBasicIndexIJ - 4, 0], X0[intBasicIndexIJ - 3, 0], X0[intBasicIndexIJ - 2, 0], X0[intBasicIndexIJ - 1, 0], X0[intBasicIndexIJ - 0, 0], X0[intBasicIndexIJ + 1, 0]); //计算实际夹角
// adblAzimuth[i, j - 1] = adblAzimuth[i, j - 2] + dblAngle - Math.PI;
// }
// }
//}
//统计插值点数
int intKnownPt = 0; //固定点的数目
int intUnknownPt = 0; //非固定点的数目
List <int> intKnownLocationLt = new List <int>(); //记录已知点的序号
//注意：对于该循环，有一个默认条件，即FromCpl的第一个顶点只有一个对应点
for (int i = 0; i < intPtNum; i++)
{
if (pCorrCptsLt[i].FrCpt.isCtrl == true)
{
intKnownLocationLt.Add(i);
intKnownPt += 1;
}
else
{
intUnknownPt += 1;
}
}
int intUnknownXY = intUnknownPt * 2; //每个点都有X、Y坐标
int intMultiUnknownXY = intInterNum * intUnknownXY;
//找出长度固定的位置(如果一个线段的前后两个点都固定，则该长度固定)。另外，长度固定则该边的方位角也固定
List <int> intKnownLengthLt = new List <int>();
for (int i = 0; i < intKnownLocationLt.Count - 1; i++)
{
if ((intKnownLocationLt[i + 1] - intKnownLocationLt[i]) == 1)
{
intKnownLengthLt.Add(intKnownLocationLt[i]);
}
}
int intUnknownLength = intPtNum - 1 - intKnownLengthLt.Count;
//找出角度固定的位置(如果一个固定顶点的前后两个点都固定，则该角度固定)
List <int> intKnownAngleLt = new List <int>();
for (int i = 0; i < intKnownLocationLt.Count - 2; i++)
{
if ((intKnownLocationLt[i + 1] - intKnownLocationLt[i]) == 1 && (intKnownLocationLt[i + 2] - intKnownLocationLt[i + 1]) == 1)
{
intKnownAngleLt.Add(intKnownLocationLt[i]);
}
}
int intUnknownAngle = intPtNum - 2 - intKnownAngleLt.Count;
//长度角度未知量
int intUnknownLengthAngle = intUnknownLength + intUnknownAngle;
//各未知量个数
int intMultiUnknownLength = intInterNum * intUnknownLength;
int intMultiUnknownAngle = intInterNum * intUnknownAngle;
int intMultiUnknownLengthAngle = intMultiUnknownLength + intMultiUnknownAngle;
int intMultiUnknownInterval = (intInterNum + 1) * intUnknownPt;
int intSumConstraints = intMultiUnknownLength + intMultiUnknownAngle + intMultiUnknownInterval;
//定义权重矩阵
VBMatrix P = new VBMatrix(intSumConstraints, intSumConstraints);
for (int i = 0; i < intMultiUnknownLength; i++) //长度权重
{
P[i, i] = 1;
}
for (int i = 0; i < intMultiUnknownAngle; i++) //角度权重
{
P[intMultiUnknownLength + i, intMultiUnknownLength + i] = 40;
}
for (int i = 0; i < intMultiUnknownInterval; i++) //角度权重
{
P[intMultiUnknownLengthAngle + i, intMultiUnknownLengthAngle + i] = 10000000000000;
}
//for (int i = 0; i < intInterNum; i++)
//{
// int intBasicIndex2 = i * intUnknownLengthAngle;
// for (int j = 0; j < intUnknownLength; j++)
// {
// P[intBasicIndex2 + j, intBasicIndex2 + j] = 1;
// }
// for (int j = 0; j < intUnknownAngle; j++)
// {
// P[intBasicIndex2 + intUnknownLength + j, intBasicIndex2 + intUnknownLength + j] = 1;
// }
//}
//Xmix里存储了XA和X0的最新混合值（此矩阵在公式推导中并不存在，只是为了方便编写代码而建立）
VBMatrix Xmix = new VBMatrix(intMultiXYNum, 1);
for (int i = 0; i < intMultiXYNum; i++)
{
Xmix[i, 0] = X0[i, 0];
}
//定义坐标近似值矩阵XA
VBMatrix XA = new VBMatrix(intMultiUnknownXY, 1);
VBMatrix XA0 = new VBMatrix(intMultiUnknownXY, 1);
int intSumCount0 = 0;
for (int j = 0; j < intUnknownPt; j++)
{
if (pCorrCptsLt[intSumCount0].FrCpt.isCtrl == false)
{
for (int i = 0; i < intInterNum; i++)
{
XA[i * intUnknownXY + j * 2 + 0, 0] = X0[i * intXYNum + intSumCount0 * 2 + 0, 0];
XA[i * intUnknownXY + j * 2 + 1, 0] = X0[i * intXYNum + intSumCount0 * 2 + 1, 0];
XA0[i * intUnknownXY + j * 2 + 0, 0] = XA[i * intUnknownXY + j * 2 + 0, 0];
XA0[i * intUnknownXY + j * 2 + 1, 0] = XA[i * intUnknownXY + j * 2 + 1, 0];
}
}
else
{
j -= 1;
}
intSumCount0 += 1;
}
//定义系数矩阵A(各方程对坐标的导数值)，A的导数值将在循环中给出
VBMatrix A = new VBMatrix(intSumConstraints, intMultiUnknownXY);
double dblJudge1 = 0; //该值用于判断是否应该跳出循环
double dblJudge2 = 0; //该值用于判断是否应该跳出循环
double dblJudge3 = 0; //该值用于判断是否应该跳出循环
int intJudgeIndex = intMultiUnknownXY / 4;
int intIterativeCount = 0;
for (int k = 0; k < 2; k++)
{
//break;
do
{
if (intIterativeCount >= intIterationNum)
{
break;
}
intIterativeCount += 1;
VBMatrix matl = new VBMatrix(intSumConstraints, 1);
//计算系数矩阵A第0行到"intUnknownLength"行的各元素，即线段长度对各未知数求偏导的值
//先计算各分母值（注意：分母实际上是求偏导后的一部分值，但却恰好等于两点之间距离，因此其计算公式与距离计算公式相同
for (int i = 0; i < intInterNum; i++)
{
int intBasicIndexS1 = i * intXYNum;
for (int j = 0; j < intPtNum - 1; j++)
{
int intBasicIndexIJS1 = intBasicIndexS1 + 2 * j;
adblLength[i, j] = Math.Sqrt((Xmix[intBasicIndexIJS1 + 0, 0] - Xmix[intBasicIndexIJS1 + 2, 0]) * (Xmix[intBasicIndexIJS1 + 0, 0] - Xmix[intBasicIndexIJS1 + 2, 0]) +
(Xmix[intBasicIndexIJS1 + 1, 0] - Xmix[intBasicIndexIJS1 + 3, 0]) * (Xmix[intBasicIndexIJS1 + 1, 0] - Xmix[intBasicIndexIJS1 + 3, 0]));
}
}
//计算新的方位角
for (int i = 0; i < intInterNum; i++)
{
int intBasicIndexA1 = i * intXYNum;
//第一条线段的方位角
adblAzimuth[i, 0] = CGeoFunc.CalAxisAngle(Xmix[intBasicIndexA1 + 0, 0], Xmix[intBasicIndexA1 + 1, 0], Xmix[intBasicIndexA1 + 2, 0], Xmix[intBasicIndexA1 + 3, 0]);
//后面线段的方位角
for (int j = 1; j < intPtNum - 1; j++)
{
int intBasicIndexIJA1 = intBasicIndexA1 + 2 * j;
double dblAngle = CGeoFunc.CalAngle_Counterclockwise(Xmix[intBasicIndexIJA1 - 2, 0], Xmix[intBasicIndexIJA1 - 1, 0],
Xmix[intBasicIndexIJA1 + 0, 0], Xmix[intBasicIndexIJA1 + 1, 0],
Xmix[intBasicIndexIJA1 + 2, 0], Xmix[intBasicIndexIJA1 + 3, 0]);
adblAzimuth[i, j] = adblAzimuth[i, j - 1] + dblAngle - Math.PI;
}
}
//计算新的多线段间对应顶点距离
for (int j = 0; j < intPtNum; j++)
{
int int2J = 2 * j;
//源线段与第一生成线段间对应点距离
adblIntervalDis[0, j] = Math.Sqrt((pCorrCptsLt[j].FrCpt.X - Xmix[int2J + 0, 0]) * (pCorrCptsLt[j].FrCpt.X - Xmix[int2J + 0, 0]) +
(pCorrCptsLt[j].FrCpt.Y - Xmix[int2J + 1, 0]) * (pCorrCptsLt[j].FrCpt.Y - Xmix[int2J + 1, 0]));
//目标线段与最后生成线段间对应点距离
adblIntervalDis[intInterNum, j] = Math.Sqrt((pCorrCptsLt[j].ToCpt.X - Xmix[(intInterNum - 1) * intXYNum + int2J + 0, 0]) * (pCorrCptsLt[j].ToCpt.X - Xmix[(intInterNum - 1) * intXYNum + int2J + 0, 0]) +
(pCorrCptsLt[j].ToCpt.Y - Xmix[(intInterNum - 1) * intXYNum + int2J + 1, 0]) * (pCorrCptsLt[j].ToCpt.Y - Xmix[(intInterNum - 1) * intXYNum + int2J + 1, 0]));
//各生成线段间对应点距离
for (int i = 1; i < intInterNum; i++)
{
adblIntervalDis[i, j] = Math.Sqrt((Xmix[(i - 1) * intXYNum + int2J + 0, 0] - Xmix[i * intXYNum + int2J + 0, 0]) * (Xmix[(i - 1) * intXYNum + int2J + 0, 0] - Xmix[i * intXYNum + int2J + 0, 0]) +
(Xmix[(i - 1) * intXYNum + int2J + 1, 0] - Xmix[i * intXYNum + int2J + 1, 0]) * (Xmix[(i - 1) * intXYNum + int2J + 1, 0] - Xmix[i * intXYNum + int2J + 1, 0]));
}
}
//计算系数矩阵中关于长度值的导数部分（注意：隐含的距离计算公式为后一个点的坐标减前一个点的坐标）
int intKnownCount2 = 0;
int intUnKnownCount2 = 0;
for (int j = 0; j < intUnknownLength; j++)
{
int intSumCount = intKnownCount2 + intUnKnownCount2;
int intBasicIndexL2 = 2 * intUnKnownCount2;
if (pCorrCptsLt[intSumCount].FrCpt.isCtrl == false && pCorrCptsLt[intSumCount + 1].FrCpt.isCtrl == false)
{
for (int i = 0; i < intInterNum; i++)
{
A[i * intUnknownLength + j, i *intUnknownXY + intBasicIndexL2 + 0] = -Math.Cos(adblAzimuth[i, intSumCount]);
A[i * intUnknownLength + j, i *intUnknownXY + intBasicIndexL2 + 1] = -Math.Sin(adblAzimuth[i, intSumCount]);
A[i * intUnknownLength + j, i *intUnknownXY + intBasicIndexL2 + 2] = -A[i * intUnknownLength + j, i *intUnknownXY + intBasicIndexL2 + 0];
A[i * intUnknownLength + j, i *intUnknownXY + intBasicIndexL2 + 3] = -A[i * intUnknownLength + j, i *intUnknownXY + intBasicIndexL2 + 1];
matl[i * intUnknownLength + j, 0] = adblLength0[i, intSumCount] - adblLength[i, intSumCount]; //图方便，顺便计算matl
}
intUnKnownCount2 += 1;
}
else if (pCorrCptsLt[intSumCount].FrCpt.isCtrl == false && pCorrCptsLt[intSumCount + 1].FrCpt.isCtrl == true)
{
for (int i = 0; i < intInterNum; i++)
{
A[i * intUnknownLength + j, i *intUnknownXY + intBasicIndexL2 + 0] = -Math.Cos(adblAzimuth[i, intSumCount]);
A[i * intUnknownLength + j, i *intUnknownXY + intBasicIndexL2 + 1] = -Math.Sin(adblAzimuth[i, intSumCount]);
matl[i * intUnknownLength + j, 0] = adblLength0[i, intSumCount] - adblLength[i, intSumCount]; //图方便，顺便计算matl
}
intUnKnownCount2 += 1;
}
else if (pCorrCptsLt[intSumCount].FrCpt.isCtrl == true && pCorrCptsLt[intSumCount + 1].FrCpt.isCtrl == false)
{
for (int i = 0; i < intInterNum; i++)
{
//注意这种情况，由于"pCorrCptsLt[intSumCount].FrCpt.isCtrl == true"不占位子（即不占列），因此列序号依然为" 2 * intUnKnownCount + 0"和" 2 * intUnKnownCount + 1"，而不是+2,+3
A[i * intUnknownLength + j, i *intUnknownXY + intBasicIndexL2 + 0] = Math.Cos(adblAzimuth[i, intSumCount]);
A[i * intUnknownLength + j, i *intUnknownXY + intBasicIndexL2 + 1] = Math.Sin(adblAzimuth[i, intSumCount]);
matl[i * intUnknownLength + j, 0] = adblLength0[i, intSumCount] - adblLength[i, intSumCount]; //图方便，顺便计算matl
}
intKnownCount2 += 1;
}
else
{
intKnownCount2 += 1;
j -= 1;
}
}
//计算系数矩阵中关于夹角值的导数部分
int intKnownCount3 = 0;
int intUnKnownCount3 = 0;
for (int j = 0; j < intUnknownAngle; j++)
{
//真是太幸运了，虽然求两向量逆时针夹角时需分多种情况讨论，但各情况的导数形式却是一致的，节省了不少编程精力啊，哈哈
int intSumCount = intKnownCount3 + intUnKnownCount3;
//常用数据准备
double[] adblA2 = new double[intInterNum];
double[] adblB2 = new double[intInterNum];
for (int i = 0; i < intInterNum; i++)
{
adblA2[i] = adblLength[i, intSumCount + 0] * adblLength[i, intSumCount + 0];
adblB2[i] = adblLength[i, intSumCount + 1] * adblLength[i, intSumCount + 1];
}
//开始计算系数值，由于将以下三个情况排列组合将有八种情况，因此按如下方式计算
if (pCorrCptsLt[intUnKnownCount3 + intKnownCount3].FrCpt.isCtrl == true && pCorrCptsLt[intUnKnownCount3 + intKnownCount3 + 1].FrCpt.isCtrl == true && pCorrCptsLt[intUnKnownCount3 + intKnownCount3 + 2].FrCpt.isCtrl == true)
{
intKnownCount3 += 1;
j -= 1;
}
else
{
for (int i = 0; i < intInterNum; i++)
{
int intBasicIndexFi3 = i * intXYNum + 2 * intSumCount;
double dblNewAngle = CGeoFunc.CalAngle_Counterclockwise(Xmix[intBasicIndexFi3 + 0, 0], Xmix[intBasicIndexFi3 + 1, 0],
Xmix[intBasicIndexFi3 + 2, 0], Xmix[intBasicIndexFi3 + 3, 0],
Xmix[intBasicIndexFi3 + 4, 0], Xmix[intBasicIndexFi3 + 5, 0]);
adblAngle[i, j] = dblNewAngle;
matl[intMultiUnknownLength + i * intUnknownAngle + j, 0] = adblAngle0[i, intSumCount] - dblNewAngle; //图方便，顺便计算matl
}
int intPreTrueNum = 0;
int intUnKnownCount3orginal = intUnKnownCount3;
int intKnownCount3orginal = intKnownCount3;
if (pCorrCptsLt[intUnKnownCount3orginal + intKnownCount3orginal + 0].FrCpt.isCtrl == false)
{
//X1,Y1的导数值(注意：该部分是减数，因此值为导数的负数)
for (int i = 0; i < intInterNum; i++)
{
A[intMultiUnknownLength + i * intUnknownAngle + j, i *intUnknownXY + 2 * intUnKnownCount3orginal + 0] = -(Xmix[i * intXYNum + 2 * intSumCount + 3, 0] - Xmix[i * intXYNum + 2 * intSumCount + 1, 0]) / adblA2[i];
A[intMultiUnknownLength + i * intUnknownAngle + j, i *intUnknownXY + 2 * intUnKnownCount3orginal + 1] = (Xmix[i * intXYNum + 2 * intSumCount + 2, 0] - Xmix[i * intXYNum + 2 * intSumCount + 0, 0]) / adblA2[i];
}
intUnKnownCount3 += 1;
}
else
{
intPreTrueNum += 1;
intKnownCount3 += 1;
}
if (pCorrCptsLt[intUnKnownCount3orginal + intKnownCount3orginal + 1].FrCpt.isCtrl == false)
{
//X2,Y2的导数值
for (int i = 0; i < intInterNum; i++)
{
A[intMultiUnknownLength + i * intUnknownAngle + j, i *intUnknownXY + 2 * (intUnKnownCount3orginal - intPreTrueNum) + 2] = (Xmix[i * intXYNum + 2 * intSumCount + 5, 0] - Xmix[i * intXYNum + 2 * intSumCount + 3, 0]) / adblB2[i]
+ (Xmix[i * intXYNum + 2 * intSumCount + 3, 0] - Xmix[i * intXYNum + 2 * intSumCount + 1, 0]) / adblA2[i];
A[intMultiUnknownLength + i * intUnknownAngle + j, i *intUnknownXY + 2 * (intUnKnownCount3orginal - intPreTrueNum) + 3] = -(Xmix[i * intXYNum + 2 * intSumCount + 4, 0] - Xmix[i * intXYNum + 2 * intSumCount + 2, 0]) / adblB2[i]
- (Xmix[i * intXYNum + 2 * intSumCount + 2, 0] - Xmix[i * intXYNum + 2 * intSumCount + 0, 0]) / adblA2[i];
}
}
else
{
intPreTrueNum += 1;
}
if (pCorrCptsLt[intUnKnownCount3orginal + intKnownCount3orginal + 2].FrCpt.isCtrl == false)
{
//X3,Y3的导数值
for (int i = 0; i < intInterNum; i++)
{
A[intMultiUnknownLength + i * intUnknownAngle + j, i *intUnknownXY + 2 * (intUnKnownCount3orginal - intPreTrueNum) + 4] = -(Xmix[i * intXYNum + 2 * intSumCount + 5, 0] - Xmix[i * intXYNum + 2 * intSumCount + 3, 0]) / adblB2[i];
A[intMultiUnknownLength + i * intUnknownAngle + j, i *intUnknownXY + 2 * (intUnKnownCount3orginal - intPreTrueNum) + 5] = (Xmix[i * intXYNum + 2 * intSumCount + 4, 0] - Xmix[i * intXYNum + 2 * intSumCount + 2, 0]) / adblB2[i];
}
}
}
}
//计算系数矩阵中关于多线段间对应顶点距离的导数部分（注意：隐含的距离计算公式为后一个点的坐标减前一个点的坐标）
int intKnownCount4 = 0;
int intUnKnownCount4 = 0;
for (int j = 0; j < intUnknownPt; j++)
{
int intSumCount4 = intKnownCount4 + intUnKnownCount4;
int intBasicIndexL4 = 2 * intUnKnownCount4;
if (pCorrCptsLt[intSumCount4].FrCpt.isCtrl == false)
{
int l = 0;
//源线段与第一生成线段间对应点距离导数
A[intMultiUnknownLengthAngle + l * intUnknownPt + j, (l - 0) * intUnknownXY + intBasicIndexL4 + 0] = (Xmix[l * intXYNum + 2 * intSumCount4 + 0, 0] - pCorrCptsLt[intSumCount4].FrCpt.X) / adblIntervalDis[l, intSumCount4];
A[intMultiUnknownLengthAngle + l * intUnknownPt + j, (l - 0) * intUnknownXY + intBasicIndexL4 + 1] = (Xmix[l * intXYNum + 2 * intSumCount4 + 1, 0] - pCorrCptsLt[intSumCount4].FrCpt.Y) / adblIntervalDis[l, intSumCount4];
matl[intMultiUnknownLengthAngle + l * intUnknownPt + j, 0] = adblIntervalDis0[l, intSumCount4] - adblIntervalDis[l, intSumCount4]; //图方便，顺便计算matl
//最后生成线段与目标线段间对应点距离导数
l = intInterNum;
A[intMultiUnknownLengthAngle + l * intUnknownPt + j, (l - 1) * intUnknownXY + intBasicIndexL4 + 0] = -(pCorrCptsLt[intSumCount4].ToCpt.X - Xmix[(l - 1) * intXYNum + 2 * intSumCount4 + 0, 0]) / adblIntervalDis[l, intSumCount4];
A[intMultiUnknownLengthAngle + l * intUnknownPt + j, (l - 1) * intUnknownXY + intBasicIndexL4 + 1] = -(pCorrCptsLt[intSumCount4].ToCpt.Y - Xmix[(l - 1) * intXYNum + 2 * intSumCount4 + 1, 0]) / adblIntervalDis[l, intSumCount4];
matl[intMultiUnknownLengthAngle + l * intUnknownPt + j, 0] = adblIntervalDis0[l, intSumCount4] - adblIntervalDis[l, intSumCount4]; //图方便，顺便计算matl
//各生成线段间对应点距离导数
for (int i = 1; i < intInterNum; i++)
{
A[intMultiUnknownLengthAngle + i * intUnknownPt + j, (i - 1) * intUnknownXY + intBasicIndexL4 + 0] = -(Xmix[i * intXYNum + 2 * intSumCount4 + 0, 0] - Xmix[(i - 1) * intXYNum + 2 * intSumCount4 + 0, 0]) / adblIntervalDis[i, intSumCount4];
A[intMultiUnknownLengthAngle + i * intUnknownPt + j, (i - 1) * intUnknownXY + intBasicIndexL4 + 1] = -(Xmix[i * intXYNum + 2 * intSumCount4 + 1, 0] - Xmix[(i - 1) * intXYNum + 2 * intSumCount4 + 1, 0]) / adblIntervalDis[i, intSumCount4];
A[intMultiUnknownLengthAngle + i * intUnknownPt + j, (i - 0) * intUnknownXY + intBasicIndexL4 + 0] = -A[intMultiUnknownLengthAngle + i * intUnknownPt + j, (i - 1) * intUnknownXY + +intBasicIndexL4 + 0];
A[intMultiUnknownLengthAngle + i * intUnknownPt + j, (i - 0) * intUnknownXY + intBasicIndexL4 + 1] = -A[intMultiUnknownLengthAngle + i * intUnknownPt + j, (i - 1) * intUnknownXY + +intBasicIndexL4 + 1];
matl[intMultiUnknownLengthAngle + i * intUnknownPt + j, 0] = adblIntervalDis0[i, intSumCount4] - adblIntervalDis[i, intSumCount4]; //图方便，顺便计算matl
//double dblIntervalDis = adblIntervalDis[i, intSumCount4];
//double dblIntervalDis0 = adblIntervalDis0[i, intSumCount4];
//double dblmatl = dblIntervalDis - dblIntervalDis0;
//double ttt = 6;
}
intUnKnownCount4 += 1;
}
else
{
intKnownCount4 += 1;
j -= 1;
}
}
int tt = 5;
//CHelpFuncExcel.ExportDataToExcel2(A, "matA", _DataRecords.ParameterInitialize.strSavePath);
//CHelpFuncExcel.ExportDataToExcelP(P, "matP", _DataRecords.ParameterInitialize.strSavePath);
//CHelpFuncExcel.ExportDataToExcel2(matl, "matmatl", _DataRecords.ParameterInitialize.strSavePath);
//平差
VBMatrix Temp = A.Trans() * P * A;
VBMatrix InvTemp = Temp.Inv(Temp);
VBMatrix x = InvTemp * A.Trans() * P * matl;
XA += x;
//CHelpFuncExcel.ExportDataToExcel2(XA, "matXA", _DataRecords.ParameterInitialize.strSavePath);
//记录各平差成果
//坐标改正值
//VBMatrix Xc = XA - XA0;
//观测值改正值矩阵V
VBMatrix V = A * x - matl;
//VtPV值
double dblVtPV = (V.Trans() * P * V).MatData[0, 0];
_DataRecords.ParameterInitialize.txtVtPV.Text = " VtPV = " + dblVtPV.ToString();
//VBMatrix L = new VBMatrix(intSumConstraints, 1);
//for (int i = 0; i < intInterNum; i++)
//{
// for (int j = 0; j < intUnknownLength; j++)
// {
// L[i * intUnknownLength + j, 0] = adblLength[i, j];
// }
// for (int j = 0; j < intUnknownAngle; j++)
// {
// L[intInterNum * intUnknownLength + i * intUnknownAngle + j, 0] = adblAngle[i, j];
// }
//}
//for (int i = 0; i <= intInterNum; i++)
//{
// for (int j = 0; j < intUnknownPt; j++)
// {
// L[intInterNum * intUnknownLengthAngle + i * intUnknownPt + j, 0] = adblIntervalDis[i, j];
// }
//}
//VBMatrix LPlusV = L + V;
//VBMatrix AX = A * XA;
//CHelpFuncExcel.ExportDataToExcel2(LPlusV, "matLPlusV", _DataRecords.ParameterInitialize.strSavePath);
//CHelpFuncExcel.ExportDataToExcel2(AX, "matAX", _DataRecords.ParameterInitialize.strSavePath);
//更新Xmix
int intSumCount5 = 0;
for (int j = 0; j < intUnknownPt; j++)
{
if (pCorrCptsLt[intSumCount5].FrCpt.isCtrl == false)
{
for (int i = 0; i < intInterNum; i++)
{
Xmix[i * intXYNum + intSumCount5 * 2 + 0, 0] = XA[i * intUnknownXY + j * 2 + 0, 0];
Xmix[i * intXYNum + intSumCount5 * 2 + 1, 0] = XA[i * intUnknownXY + j * 2 + 1, 0];
}
}
else
{
j -= 1;
}
intSumCount5 += 1;
}
//这里只是随便取两个中间值以观测是否收敛
dblJudge1 = Math.Abs(x[1 * intJudgeIndex, 0]);
dblJudge2 = Math.Abs(x[2 * intJudgeIndex, 0]);
dblJudge3 = Math.Abs(x[3 * intJudgeIndex, 0]);
//} while ((dblJudge1 > dblTX) || (dblJudge2 > dblTX) || (dblJudge3 > dblTX));
}while ((dblJudge1 >= 0) || (dblJudge2 >= 0) || (dblJudge3 >= 0));
break;
for (int i = 0; i < intMultiUnknownLength; i++) //长度权重
{
P[i, i] = 1;
}
for (int i = 0; i < intMultiUnknownAngle; i++) //角度权重
{
P[intMultiUnknownLength + i, intMultiUnknownLength + i] = 39.48;
}
for (int i = 0; i < intMultiUnknownInterval; i++) //角度权重
{
P[intMultiUnknownLengthAngle + i, intMultiUnknownLengthAngle + i] = 1;
}
}
//生成目标线段
List <CPolyline> cpllt = new List <CPolyline>();
for (int i = 0; i < intInterNum; i++)
{
List <CPoint> cptlt = new List <CPoint>();
for (int j = 0; j < intPtNum; j++)
{
CPoint cpt = new CPoint(j, Xmix[i * intXYNum + j * 2, 0], Xmix[i * intXYNum + j * 2 + 1, 0]);
cptlt.Add(cpt);
}
CPolyline cpl = new CPolyline(i, cptlt);
cpllt.Add(cpl);
}
return(cpllt);
}
/// <summary>创建T矩阵</summary>
/// <param name="frcpl">大比例尺线状要素</param>
/// <param name="tocpl">小比例尺线状要素</param>
/// <param name="CFrEdgeLt">大比例尺线段（可能只是线状要素的一部分）</param>
/// <param name="CToEdgeLt">小比例尺线段（可能只是线状要素的一部分）</param>
/// <param name="frlastcpllt">大比例尺终点线段（只有一个点）</param>
/// <param name="tolastcpllt">小比例尺终点线段（只有一个点）</param>
/// <param name="intMaxBackK">回溯系数</param>
/// <returns>T矩阵</returns>
public CTable[,] CreatT(CPolyline frcpl, CPolyline tocpl, List <CPolyline> CFrBezierEdgeLt, List <CPolyline> CToBezierEdgeLt,
ref List <CPolyline> frlastcpllt, ref List <CPolyline> tolastcpllt, int intMaxBackK)
{
////注意：T矩阵中的序号跟原文算法中的序号是统一的，但线数组中的序号则应减1
//CTable[,] T = new CTable[CFrBezierEdgeLt.Count + 1, CToBezierEdgeLt.Count + 1]; //线段数量为顶点数量减1
////数组的第一行及第一列初始化
//T[0, 0] = new CTable();
//T[0, 0].dblEvaluation = 0;
//CPolyline frfirstcpl = new CPolyline(0, CFrBezierEdgeLt[0].CptLt [0]); //以线状要素的第一个点作为线段
//for (int j = 1; j <= CToBezierEdgeLt.Count; j++)
//{
// T[0, j] = new CTable();
// T[0, j].frpart = "first";
// T[0, j].frfrId = 1;
// T[0, j].topart = "segment";
// T[0, j].tofrId = j;
// CPolyline tocplj = tocpl.GetSubPolyline(CToBezierEdgeLt[j - 1].CptLt[0], CToBezierEdgeLt[j - 1].CptLt[CToBezierEdgeLt[j - 1].CptLt.Count - 1]);
// T[0, j].dblEvaluation = T[0, j - 1].dblEvaluation + CalDistance(frfirstcpl, tocplj, frcpl, tocpl);
//}
//CPolyline tofirstcpl = new CPolyline(0, CToBezierEdgeLt[0].CptLt[0]); //以线状要素的第一个点作为线段
//for (int i = 1; i <= CFrBezierEdgeLt.Count; i++)
//{
// T[i, 0] = new CTable();
// T[i, 0].frpart = "segment";
// T[i, 0].frfrId = i;
// T[i, 0].topart = "first";
// T[i, 0].tofrId = 1;
// CPolyline tocpli = frcpl.GetSubPolyline(CFrBezierEdgeLt[i - 1].CptLt[0], CFrBezierEdgeLt[i - 1].CptLt[CFrBezierEdgeLt[i - 1].CptLt.Count - 1]);
// T[i, 0].dblEvaluation = T[i - 1, 0].dblEvaluation + CalDistance(CFrBezierEdgeLt[i - 1], tofirstcpl, frcpl, tocpl);
//}
////循环填满二维数组T中的各个值
//for (int i = 0; i < CFrBezierEdgeLt.Count; i++)//大比例尺线段终点数据准备
//{
// List<CPoint> frlastptlt = new List<CPoint>();
// frlastptlt.Add(CFrBezierEdgeLt[i].CptLt[1]);
// frlastcpllt.Add(new CPolyline(0, frlastptlt));
//}
//for (int i = 0; i < CToBezierEdgeLt.Count; i++)//小比例尺线段终点数据准备
//{
// List<CPoint> frlastptlt = new List<CPoint>();
// frlastptlt.Add(CToBezierEdgeLt[i].CptLt[1]);
// tolastcpllt.Add(new CPolyline(0, frlastptlt));
//}
////注意：T中的序号1指定第一个元素，而各LT中（如CFrBezierEdgeLt,tolastcpllt）的序号1则指定第二个元素
//for (int i = 1; i <= CFrBezierEdgeLt.Count; i++) //计算各空格值
//{
// for (int j = 1; j <= CToBezierEdgeLt.Count; j++)
// {
// SortedDictionary<double, CTable> dblCTableSlt = new SortedDictionary<double, CTable>(new CCmpDbl());
// CPolyline subfrcpl1 = frcpl.GetSubPolyline(CFrBezierEdgeLt[i - 1].CptLt[0], CFrBezierEdgeLt[i - 1].CptLt[CFrBezierEdgeLt[i - 1].CptLt.Count - 1]);
// CPolyline subtocpl1 = tocpl.GetSubPolyline(CToBezierEdgeLt[j - 1].CptLt[0], CToBezierEdgeLt[j - 1].CptLt[CToBezierEdgeLt[j - 1].CptLt.Count - 1]);
// //计算table1
// CTable table1 = new CTable();
// table1.frpart = "segment";
// table1.frfrId = i;
// table1.topart = "last";
// table1.tofrId = j;
// table1.dblEvaluation = T[i - 1, j].dblEvaluation + CalDistance(subfrcpl1, tolastcpllt[j - 1], frcpl, tocpl);
// dblCTableSlt.Add(table1.dblEvaluation, table1);
// //计算table2
// CTable table2 = new CTable();
// table2.frpart = "last";
// table2.frfrId = i;
// table2.topart = "segment";
// table2.tofrId = j;
// table2.dblEvaluation = T[i, j - 1].dblEvaluation + CalDistance(frlastcpllt[i - 1], subtocpl1, frcpl, tocpl);
// dblCTableSlt.Add(table2.dblEvaluation, table2);
// //计算table3
// CTable table3 = new CTable();
// table3.frpart = "segment";
// table3.frfrId = i;
// table3.topart = "segment";
// table3.tofrId = j;
// table3.dblEvaluation = T[i - 1, j - 1].dblEvaluation + CalDistance(subfrcpl1, subtocpl1, frcpl, tocpl);
// dblCTableSlt.Add(table3.dblEvaluation, table3);
// //计算table4j
// for (int k = 2; k <= intMaxBackK; k++)
// {
// if (j - k + 1 > 0) //程序刚开始执行时，之前已遍历过线段数较少，可能小于intMaxBackK
// {
// CTable table4j = new CTable();
// table4j.frpart = "segment";
// table4j.frfrId = i;
// table4j.topart = "multisegments";
// table4j.tofrId = j - k + 1;
// table4j.totoId = j;
// table4j.intBackK = k;
// CPolyline tocplj = tocpl.GetSubPolyline(CToBezierEdgeLt[j - k].CptLt[0], CToBezierEdgeLt[j - 1].CptLt[1]);
// table4j.dblEvaluation = T[i - 1, j - k].dblEvaluation + CalDistance(subfrcpl1, tocplj, frcpl, tocpl);
// dblCTableSlt.Add(table4j.dblEvaluation, table4j);
// }
// }
// //计算table5i
// for (int k = 2; k <= intMaxBackK; k++)
// {
// if (i - k + 1 > 0) //程序刚开始执行时，之前已遍历过线段数较少，可能小于intMaxBackK
// {
// CTable table5i = new CTable();
// table5i.frpart = "multisegments";
// table5i.frfrId = i - k + 1;
// table5i.frtoId = i;
// table5i.topart = "segment";
// table5i.tofrId = j;
// table5i.intBackK = k;
// CPolyline frcpli = frcpl.GetSubPolyline(CFrBezierEdgeLt[i - k].CptLt[0], CFrBezierEdgeLt[i - 1].CptLt[1]);
// table5i.dblEvaluation = T[i - k, j - 1].dblEvaluation + CalDistance(frcpli, subtocpl1, frcpl, tocpl);
// dblCTableSlt.Add(table5i.dblEvaluation, table5i);
// }
// }
// T[i, j] = dblCTableSlt.ElementAt(0).Value;
// }
//}
//int intRowNum = T.GetUpperBound(0);
//int intColNum = T.GetUpperBound(1);
//double dblTranslation = T[intRowNum, intColNum].dblEvaluation;
//return T;
return(null);
}
public virtual void btn100_Click(object sender, EventArgs e)
{
_dblProp = 1;
_RelativeInterpolationCpl = _StraightLine.DisplayInterpolation(_dblProp);
}
/// <summary>计算距离值(Translation指标值)</summary>
/// <param name="frcpl">大比例尺线段，可以只有一个顶点</param>
/// <param name="tocpl">小比例尺线段，可以只有一个顶点</param>
/// <returns>距离值</returns>
public double CalDistance(CPolyline subfrcpl, CPolyline subtocpl, CPolyline frcpl, CPolyline tocpl)
{
List <CPoint> cresultptlt = _LinearInterpolationA.CLI(subfrcpl, subtocpl); //每次都相当于处理新的线段，因此使用CLI
double dblTranslation = _pTranslation.CalTranslation(cresultptlt);
return(dblTranslation);
//List<CPoint> cresultptlt = _LinearInterpolationA.CLI(subfrcpl, subtocpl); //每次都相当于处理新的线段，因此使用CLI
//double dblCost1 = _pTranslation.CalRatioTranslation(cresultptlt, frcpl, tocpl);
//double dblCost2 = _pIntegral.CalRatioIntegral(cresultptlt, frcpl, tocpl);
//double dblCost3 = _pLengthDiff.CalRatioLengthDiff(cresultptlt, frcpl, tocpl);
//double dblSumCost = dblCost1 + dblCost2 + dblCost3;
//return dblSumCost;
}
public virtual void btnInputedScale_Click(object sender, EventArgs e)
{
_dblProp = Convert.ToDouble(this.txtProportion.Text);
_RelativeInterpolationCpl = _StraightLine.DisplayInterpolation(_dblProp);
}
private void btnInputedScale_Click(object sender, EventArgs e)
{
_dblProp = Convert.ToDouble(this.txtProportion.Text);
_RelativeInterpolationCpl = CDrawInActiveView.DisplayInterpolation(_DataRecords, _dblProp);
}
/// <summary>
/// 获取线状要素
/// </summary>
/// <param name="pDataRecords">数据记录</param>
/// <param name="dblProp">插值参数</param>
/// <returns>在处理面状要素时，本程序将原面状要素的边界切开，按线状要素处理，处理完后再重新生成面状要素</returns>
public CPolyline GetTargetcpl(double dblProp)
{
List <CCorrCpts> pCorrCptsLt = _DataRecords.ParameterResult.CCorrCptsLt; //读取数据后，此处ResultPtLt中的对应点为一一对应
double dblTX = _dblTX;
int intPtNum = pCorrCptsLt.Count;
//计算长度初始值（全部计算）
double[] adblLength0 = new double[intPtNum - 1];
double[] adblLength = new double[intPtNum - 1]; //可以变化的值
for (int i = 0; i < pCorrCptsLt.Count - 1; i++)
{
double dblfrsublength = CGeoFunc.CalDis(pCorrCptsLt[i + 1].FrCpt, pCorrCptsLt[i].FrCpt);
double dbltosublength = CGeoFunc.CalDis(pCorrCptsLt[i + 1].ToCpt, pCorrCptsLt[i].ToCpt);
adblLength0[i] = (1 - dblProp) * dblfrsublength + dblProp * dbltosublength;
adblLength[i] = adblLength0[i];
}
//计算角度初始值（全部计算）
double[] adblAngle0 = new double[intPtNum - 2];
double[] adblAngle = new double[intPtNum - 2]; //可以变化的值
for (int i = 0; i < pCorrCptsLt.Count - 2; i++)
{
//较大比例尺线状要素上的夹角
double dblfrAngle = CGeoFunc.CalAngle_Counterclockwise(pCorrCptsLt[i].FrCpt, pCorrCptsLt[i + 1].FrCpt, pCorrCptsLt[i + 2].FrCpt);
//较小比例尺线状要素上的夹角
double dbltoAngle = CGeoFunc.CalAngle_Counterclockwise(pCorrCptsLt[i].ToCpt, pCorrCptsLt[i + 1].ToCpt, pCorrCptsLt[i + 2].ToCpt);
//角度初始值
adblAngle0[i] = (1 - dblProp) * dblfrAngle + dblProp * dbltoAngle;
adblAngle[i] = adblAngle0[i];
}
//生成点数组（初始值），同时计算各线段方位角混合值
//注意：默认固定第一条边
List <CPoint> cptlt = new List <CPoint>();
double[] adblAzimuth = new double[intPtNum - 1];
//计算第一个点和第二个点
double dblnewX0 = (1 - dblProp) * pCorrCptsLt[0].FrCpt.X + dblProp * pCorrCptsLt[0].ToCpt.X;
double dblnewY0 = (1 - dblProp) * pCorrCptsLt[0].FrCpt.Y + dblProp * pCorrCptsLt[0].ToCpt.Y;
CPoint newcpt0 = new CPoint(0, dblnewX0, dblnewY0);
newcpt0.isCtrl = true;
cptlt.Add(newcpt0);
double dblnewX1 = (1 - dblProp) * pCorrCptsLt[1].FrCpt.X + dblProp * pCorrCptsLt[1].ToCpt.X;
double dblnewY1 = (1 - dblProp) * pCorrCptsLt[1].FrCpt.Y + dblProp * pCorrCptsLt[1].ToCpt.Y;
CPoint newcpt1 = new CPoint(1, dblnewX1, dblnewY1);
newcpt1.isCtrl = true;
cptlt.Add(newcpt1);
adblAzimuth[0] = CGeoFunc.CalAxisAngle(newcpt0, newcpt1);
////后面的其它点（不固定最后两个点）
////pCorrCptsLt[intPtNum - 2].FrCpt.isCtrl = false;
////pCorrCptsLt[intPtNum - 1].FrCpt.isCtrl = false;
//for (int i = 2; i < pCorrCptsLt.Count; i++)
//{
// CPoint newcpt = new CPoint();
// if (pCorrCptsLt[i].FrCpt.isCtrl == false)
// {
// adblAzimuth[i - 1] = adblAzimuth[i - 2] + adblAngle0[i - 2] - Math.PI;
// double dblnewX = cptlt[i - 1].X + adblLength0[i - 1] * Math.Cos(adblAzimuth[i - 1]);
// double dblnewY = cptlt[i - 1].Y + adblLength0[i - 1] * Math.Sin(adblAzimuth[i - 1]);
// newcpt = new CPoint(i, dblnewX, dblnewY);
// }
// else
// {
// double dblnewX = (1 - dblProp) * pCorrCptsLt[i].FrCpt.X + dblProp * pCorrCptsLt[i].ToCpt.X;
// double dblnewY = (1 - dblProp) * pCorrCptsLt[i].FrCpt.Y + dblProp * pCorrCptsLt[i].ToCpt.Y;
// newcpt = new CPoint(i, dblnewX, dblnewY);
// newcpt.isCtrl = true;
// //计算角度：不能采用“CGeoFunc.CalAxisAngle”，因为此处的方位角不一定在0到2Pi之间，采用重新连接法
// double dblAngle = CGeoFunc.CalAngle_Counterclockwise(cptlt[cptlt.Count - 2], cptlt[cptlt.Count - 1], newcpt); //计算实际夹角
// adblAzimuth[i - 1] = adblAzimuth[i - 2] + dblAngle - Math.PI;
// }
// cptlt.Add(newcpt);
//}
//后面的其它点（固定最后两个点）
for (int i = 2; i < pCorrCptsLt.Count - 2; i++)
{
CPoint newcpt = new CPoint();
if (pCorrCptsLt[i].FrCpt.isCtrl == false)
{
adblAzimuth[i - 1] = adblAzimuth[i - 2] + adblAngle0[i - 2] - Math.PI;
double dblnewX = cptlt[i - 1].X + adblLength0[i - 1] * Math.Cos(adblAzimuth[i - 1]);
double dblnewY = cptlt[i - 1].Y + adblLength0[i - 1] * Math.Sin(adblAzimuth[i - 1]);
newcpt = new CPoint(i, dblnewX, dblnewY);
}
else
{
double dblnewX = (1 - dblProp) * pCorrCptsLt[i].FrCpt.X + dblProp * pCorrCptsLt[i].ToCpt.X;
double dblnewY = (1 - dblProp) * pCorrCptsLt[i].FrCpt.Y + dblProp * pCorrCptsLt[i].ToCpt.Y;
newcpt = new CPoint(i, dblnewX, dblnewY);
newcpt.isCtrl = true;
//计算角度：不能采用“CGeoFunc.CalAxisAngle”，因为此处的方位角不一定在0到2Pi之间，采用重新连接法
double dblAngle = CGeoFunc.CalAngle_Counterclockwise(cptlt[cptlt.Count - 2], cptlt[cptlt.Count - 1], newcpt); //计算实际夹角
adblAzimuth[i - 1] = adblAzimuth[i - 2] + dblAngle - Math.PI;
}
cptlt.Add(newcpt);
}
//计算最后两个点
double dblnewXlast1 = (1 - dblProp) * pCorrCptsLt[pCorrCptsLt.Count - 2].FrCpt.X + dblProp * pCorrCptsLt[pCorrCptsLt.Count - 2].ToCpt.X;
double dblnewYlast1 = (1 - dblProp) * pCorrCptsLt[pCorrCptsLt.Count - 2].FrCpt.Y + dblProp * pCorrCptsLt[pCorrCptsLt.Count - 2].ToCpt.Y;
CPoint newcptlast1 = new CPoint(pCorrCptsLt.Count - 2, dblnewXlast1, dblnewYlast1);
newcptlast1.isCtrl = true;
cptlt.Add(newcptlast1);
double dblAnglelast1 = CGeoFunc.CalAngle_Counterclockwise(cptlt[cptlt.Count - 3], cptlt[cptlt.Count - 2], cptlt[cptlt.Count - 1]); //计算实际夹角
adblAzimuth[pCorrCptsLt.Count - 3] = adblAzimuth[pCorrCptsLt.Count - 4] + dblAnglelast1 - Math.PI;
double dblnewXlast0 = (1 - dblProp) * pCorrCptsLt[pCorrCptsLt.Count - 1].FrCpt.X + dblProp * pCorrCptsLt[pCorrCptsLt.Count - 1].ToCpt.X;
double dblnewYlast0 = (1 - dblProp) * pCorrCptsLt[pCorrCptsLt.Count - 1].FrCpt.Y + dblProp * pCorrCptsLt[pCorrCptsLt.Count - 1].ToCpt.Y;
CPoint newcptlast0 = new CPoint(pCorrCptsLt.Count - 1, dblnewXlast0, dblnewYlast0);
newcptlast0.isCtrl = true;
cptlt.Add(newcptlast0);
double dblAnglelast0 = CGeoFunc.CalAngle_Counterclockwise(cptlt[cptlt.Count - 3], cptlt[cptlt.Count - 2], cptlt[cptlt.Count - 1]); //计算实际夹角
adblAzimuth[pCorrCptsLt.Count - 2] = adblAzimuth[pCorrCptsLt.Count - 3] + dblAnglelast0 - Math.PI;
//统计插值点数
int intKnownPt = 0; //固定点的数目
int intUnknownPt = 0; //非固定点的数目
List <int> intKnownLocationLt = new List <int>(); //记录已知点的序号
//注意：对于该循环，有一个默认条件，即FromCpl的第一个顶点只有一个对应点
for (int i = 0; i < cptlt.Count; i++)
{
if (cptlt[i].isCtrl == true)
{
intKnownLocationLt.Add(i);
intKnownPt += 1;
}
else
{
intUnknownPt += 1;
}
}
int intUnknownXY = intUnknownPt * 2; //每个点都有X、Y坐标
//找出长度固定的位置(如果一个线段的前后两个点都固定，则该长度固定)。另外，长度固定则该边的方位角也固定
List <int> intKnownLengthLt = new List <int>();
for (int i = 0; i < intKnownLocationLt.Count - 1; i++)
{
if ((intKnownLocationLt[i + 1] - intKnownLocationLt[i]) == 1)
{
intKnownLengthLt.Add(intKnownLocationLt[i]);
}
}
int intUnknownLength = cptlt.Count - 1 - intKnownLengthLt.Count;
//找出角度固定的位置(如果一个固定顶点的前后两个点都固定，则该角度固定)
List <int> intKnownAngleLt = new List <int>();
for (int i = 0; i < intKnownLocationLt.Count - 2; i++)
{
if ((intKnownLocationLt[i + 1] - intKnownLocationLt[i]) == 1 && (intKnownLocationLt[i + 2] - intKnownLocationLt[i + 1]) == 1)
{
intKnownAngleLt.Add(intKnownLocationLt[i]);
}
}
int intUnknownAngle = cptlt.Count - 2 - intKnownAngleLt.Count;
//总未知量
int intUnknownLengthAngle = intUnknownLength + intUnknownAngle;
//定义权重矩阵
VBMatrix P = new VBMatrix(intUnknownLengthAngle, intUnknownLengthAngle);
for (int i = 0; i < intUnknownLength; i++)
{
P[i, i] = 1;
}
for (int i = 0; i < intUnknownAngle; i++)
{
P[intUnknownLength + i, intUnknownLength + i] = 1;
}
//定义权重矩阵倒数
VBMatrix QLL = new VBMatrix(intUnknownLengthAngle, intUnknownLengthAngle);
for (int i = 0; i < intUnknownLength; i++)
{
QLL[i, i] = 1;
}
for (int i = 0; i < intUnknownAngle; i++)
{
QLL[intUnknownLength + i, intUnknownLength + i] = 1;
}
//for (int i = 0; i < intXYCst; i++)
//{
// P[intUnknownLengthAngle + i, intUnknownLengthAngle + i] = 1;
//}
//for (int i = 0; i < intAngleCst; i++)
//{
// P[intUnknownLengthAngle + intXYCst + i, intUnknownLengthAngle + intXYCst + i] =100000;
//}
//计算初始值矩阵X0
VBMatrix X0 = new VBMatrix(2 * intPtNum, 1);
for (int i = 0; i < intPtNum; i++)
{
X0[2 * i, 0] = cptlt[i].X;
X0[2 * i + 1, 0] = cptlt[i].Y;
}
//Xmix里存储了XA和X0的最新混合值（此矩阵在公式推导中并不存在，只是为了方便编写代码而建立）
VBMatrix Xmix = new VBMatrix(2 * intPtNum, 1);
for (int i = 0; i < (2 * intPtNum); i++)
{
Xmix[i, 0] = X0[i, 0];
}
//定义系数矩阵B(各方程对长度、角度的导数值)
VBMatrix B = new VBMatrix(intUnknownLengthAngle, intUnknownLengthAngle);
for (int i = 0; i < intUnknownLengthAngle; i++)
{
B[i, i] = -1;
}
//定义系数矩阵A(各方程对坐标的导数值)，A的导数值将在循环中给出
VBMatrix A = new VBMatrix(intUnknownLengthAngle, intUnknownXY);
double dblJudge1 = 0; //该值用于判断是否应该跳出循环
double dblJudge2 = 0; //该值用于判断是否应该跳出循环
int intJudgeIndex = intUnknownLength / 4;
int intIterativeCount = 0;
double[] dblSubDis = new double[intPtNum - 1];
do
{
VBMatrix w = new VBMatrix(intUnknownLengthAngle, 1);
//计算系数矩阵A第0行到"intUnknownLength"行的各元素，即线段长度对各未知数求偏导的值
//先计算各分母值（注意：分母实际上是求偏导后的一部分值，但却恰好等于两点之间距离，因此其计算公式与距离计算公式相同
dblSubDis = new double[intPtNum - 1];
for (int i = 0; i < intPtNum - 1; i++)
{
dblSubDis[i] = Math.Pow((Xmix[2 * i, 0] - Xmix[2 * i + 2, 0]) * (Xmix[2 * i, 0] - Xmix[2 * i + 2, 0]) + (Xmix[2 * i + 1, 0] - Xmix[2 * i + 3, 0]) * (Xmix[2 * i + 1, 0] - Xmix[2 * i + 3, 0]), 0.5);
}
//计算新的方位角
adblAzimuth[0] = CGeoFunc.CalAxisAngle(Xmix[0, 0], Xmix[1, 0], Xmix[2, 0], Xmix[3, 0]);
for (int i = 1; i < intPtNum - 1; i++)
{
double dblAngle = CGeoFunc.CalAngle_Counterclockwise(Xmix[i * 2 - 2, 0], Xmix[i * 2 - 1, 0], Xmix[i * 2, 0], Xmix[i * 2 + 1, 0], Xmix[i * 2 + 2, 0], Xmix[i * 2 + 3, 0]);
adblAzimuth[i] = adblAzimuth[i - 1] + dblAngle - Math.PI;
}
//开始计算系数矩阵第"intUnknownXY"行到"intUnknownXY+intUnknownLength-1"行的各元素
int intKnownCount2 = 0;
int intUnKnownCount2 = 0;
for (int j = 0; j < intUnknownLength; j++)
{
int intSumCount = intKnownCount2 + intUnKnownCount2;
if (cptlt[intSumCount].isCtrl == false && cptlt[intSumCount + 1].isCtrl == false)
{
A[j, 2 * intUnKnownCount2 + 0] = -Math.Cos(adblAzimuth[intSumCount]);
A[j, 2 * intUnKnownCount2 + 1] = -Math.Sin(adblAzimuth[intSumCount]);
A[j, 2 * intUnKnownCount2 + 2] = -A[j, 2 * intUnKnownCount2 + 0];
A[j, 2 * intUnKnownCount2 + 3] = -A[j, 2 * intUnKnownCount2 + 1];
w[j, 0] = dblSubDis[intSumCount] - adblLength[intSumCount]; //图方便，顺便计算matl
intUnKnownCount2 += 1;
}
else if (cptlt[intSumCount].isCtrl == false && cptlt[intSumCount + 1].isCtrl == true)
{
A[j, 2 * intUnKnownCount2 + 0] = -Math.Cos(adblAzimuth[intSumCount]);
A[j, 2 * intUnKnownCount2 + 1] = -Math.Sin(adblAzimuth[intSumCount]);
w[j, 0] = dblSubDis[intSumCount] - adblLength[intSumCount]; //图方便，顺便计算matl
intUnKnownCount2 += 1;
}
else if (cptlt[intSumCount].isCtrl == true && cptlt[intSumCount + 1].isCtrl == false)
{
//注意这种情况，由于"pCorrCptsLt[intSumCount].FrCpt.isCtrl == true"不占位子（即不占列），因此列序号依然为" 2 * intUnKnownCount2 + 0"和" 2 * intUnKnownCount2 + 1"，而不是+2,+3
A[j, 2 * intUnKnownCount2 + 0] = Math.Cos(adblAzimuth[intSumCount]);
A[j, 2 * intUnKnownCount2 + 1] = Math.Sin(adblAzimuth[intSumCount]);
w[j, 0] = dblSubDis[intSumCount] - adblLength[intSumCount]; //图方便，顺便计算matl
intKnownCount2 += 1;
}
else
{
intKnownCount2 += 1;
j -= 1;
}
}
//计算系数矩阵A第"intUnknownXY+intUnknownLength"行到"intUnknownXY+intUnknownLength+intUnknownAngle"行的各元素，即角度对各未知数求偏导的值
int intKnownCount3 = 0;
int intUnKnownCount3 = 0;
for (int j = 0; j < intUnknownAngle; j++)
{
//真是太幸运了，虽然求两向量逆时针夹角时需分多种情况讨论，但各情况的导数形式却是一致的，节省了不少编程精力啊，哈哈
int intSumCount = intKnownCount3 + intUnKnownCount3;
//常用数据准备
double dblA2 = dblSubDis[intSumCount] * dblSubDis[intSumCount];
double dblB2 = dblSubDis[intSumCount + 1] * dblSubDis[intSumCount + 1];
//开始计算系数值，由于将以下三个情况排列组合将有八种情况，因此按如下方式计算
if (cptlt[intUnKnownCount3 + intKnownCount3].isCtrl == true && cptlt[intUnKnownCount3 + intKnownCount3 + 1].isCtrl == true && cptlt[intUnKnownCount3 + intKnownCount3 + 2].isCtrl == true)
{
intKnownCount3 += 1;
j -= 1;
}
else
{
double dblNewAngle = CGeoFunc.CalAngle_Counterclockwise(Xmix[2 * intSumCount + 0, 0], Xmix[2 * intSumCount + 1, 0],
Xmix[2 * intSumCount + 2, 0], Xmix[2 * intSumCount + 3, 0],
Xmix[2 * intSumCount + 4, 0], Xmix[2 * intSumCount + 5, 0]);
w[intUnknownLength + j, 0] = dblNewAngle - adblAngle[intSumCount]; //图方便，顺便计算matl
int intPreTrueNum = 0;
int intUnKnownCount3orginal = intUnKnownCount3;
int intKnownCount3orginal = intKnownCount3;
if (cptlt[intUnKnownCount3orginal + intKnownCount3orginal + 0].isCtrl == false)
{
//X1,Y1的导数值(注意：该部分是减数，因此值为导数的负数)
A[intUnknownLength + j, 2 * intUnKnownCount3orginal + 0] = -(Xmix[2 * intSumCount + 3, 0] - Xmix[2 * intSumCount + 1, 0]) / dblA2;
A[intUnknownLength + j, 2 * intUnKnownCount3orginal + 1] = (Xmix[2 * intSumCount + 2, 0] - Xmix[2 * intSumCount + 0, 0]) / dblA2;
intUnKnownCount3 += 1;
}
else
{
intPreTrueNum += 1;
intKnownCount3 += 1;
}
if (cptlt[intUnKnownCount3orginal + intKnownCount3orginal + 1].isCtrl == false)
{
//X2,Y2的导数值
//A[intUnknownLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 2] = -(Xmix[2 * intSumCount + 5, 0] - Xmix[2 * intSumCount + 3, 0]) / dblB2 - (Xmix[2 * intSumCount + 3, 0] - Xmix[2 * intSumCount + 1, 0]) / dblA2;
//A[intUnknownLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 3] = (Xmix[2 * intSumCount + 4, 0] - Xmix[2 * intSumCount + 2, 0]) / dblB2 + (Xmix[2 * intSumCount + 2, 0] - Xmix[2 * intSumCount + 0, 0]) / dblA2;
A[intUnknownLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 2] = (Xmix[2 * intSumCount + 5, 0] - Xmix[2 * intSumCount + 3, 0]) / dblB2 + (Xmix[2 * intSumCount + 3, 0] - Xmix[2 * intSumCount + 1, 0]) / dblA2;
A[intUnknownLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 3] = -(Xmix[2 * intSumCount + 4, 0] - Xmix[2 * intSumCount + 2, 0]) / dblB2 - (Xmix[2 * intSumCount + 2, 0] - Xmix[2 * intSumCount + 0, 0]) / dblA2;
}
else
{
intPreTrueNum += 1;
}
if (cptlt[intUnKnownCount3orginal + intKnownCount3orginal + 2].isCtrl == false)
{
//X3,Y3的导数值
A[intUnknownLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 4] = -(Xmix[2 * intSumCount + 5, 0] - Xmix[2 * intSumCount + 3, 0]) / dblB2;
A[intUnknownLength + j, 2 * (intUnKnownCount3orginal - intPreTrueNum) + 5] = (Xmix[2 * intSumCount + 4, 0] - Xmix[2 * intSumCount + 2, 0]) / dblB2;
}
}
}
//一个中间值
VBMatrix InvBQLLBt = new VBMatrix(intUnknownLengthAngle, intUnknownLengthAngle);
for (int i = 0; i < intUnknownLengthAngle; i++) //注意：此处之所以可以这样计算是因为B矩阵是元素为-1的对角矩阵，且QLL是对角矩阵
{
InvBQLLBt[i, i] = 1 / (QLL[i, i] * QLL[i, i]);
}
//计算Q22
VBMatrix TempQ22 = A.Trans() * InvBQLLBt * A;
VBMatrix NegQ22 = TempQ22.Inv(TempQ22);
VBMatrix Q22 = new VBMatrix(intUnknownXY, intUnknownXY);
for (int i = 0; i < intUnknownXY; i++)
{
for (int j = 0; j < intUnknownXY; j++)
{
Q22[i, j] = -NegQ22[i, j];
}
}
//计算Q12
VBMatrix NegQ12 = InvBQLLBt * A * Q22;
VBMatrix Q12 = new VBMatrix(intUnknownLengthAngle, intUnknownXY);
for (int i = 0; i < intUnknownLengthAngle; i++)
{
for (int j = 0; j < intUnknownXY; j++)
{
Q12[i, j] = -NegQ12[i, j];
}
}
//计算Q21
VBMatrix Q21 = Q12.Trans();
//计算Q11********************************************************************
VBMatrix I = new VBMatrix(intUnknownLengthAngle, intUnknownLengthAngle);
for (int i = 0; i < intUnknownLengthAngle; i++)
{
I[i, i] = 1;
}
VBMatrix Q11 = InvBQLLBt * (I - A * Q21);
//计算负v
VBMatrix Negv = QLL * B.Trans() * Q11 * w;
//计算负x
VBMatrix Negx = Q21 * w;
//对观测值进行改正
int intSumCountL4 = 0;
for (int i = 0; i < intUnknownLength; i++) //长度近似值部分
{
if (cptlt[intSumCountL4].isCtrl == false || cptlt[intSumCountL4 + 1].isCtrl == false)
{
adblLength[intSumCountL4] = adblLength[intSumCountL4] - Negv[i, 0];
}
else
{
i -= 1;
}
intSumCountL4 += 1;
}
int intSumCountA4 = 0;
for (int i = intUnknownLength; i < intUnknownLengthAngle; i++) //角度近似值部分
{
if (cptlt[intSumCountA4].isCtrl == false || cptlt[intSumCountA4 + 1].isCtrl == false || cptlt[intSumCountA4 + 2].isCtrl == false)
{
adblAngle[intSumCountA4] = adblAngle[intSumCountA4] - Negv[i, 0];
}
else
{
i -= 1;
}
intSumCountA4 += 1;
}
//对坐标值进行改正
int intSumCount5 = 0;
for (int i = 0; i < intUnknownPt; i++)
{
if (cptlt[intSumCount5].isCtrl == false)
{
Xmix[intSumCount5 * 2, 0] = Xmix[intSumCount5 * 2, 0] - Negx[i * 2, 0];
Xmix[intSumCount5 * 2 + 1, 0] = Xmix[intSumCount5 * 2 + 1, 0] - Negx[i * 2 + 1, 0];
}
else
{
i -= 1;
}
intSumCount5 += 1;
}
if (intIterativeCount == 50)
{
int kk = 5;
}
intIterativeCount += 1;
if (intIterativeCount >= 1000)
{
break;
}
//这里只是随便取两个中间值以观测是否收敛
dblJudge1 = Math.Abs(Negx[intJudgeIndex, 0]);
dblJudge2 = Math.Abs(Negx[3 * intJudgeIndex, 0]);
} while ((dblJudge1 > dblTX) || (dblJudge2 > dblTX));
//生成目标线段
List <CPoint> CTargetPtLt = new List <CPoint>();
for (int i = 0; i < intPtNum; i++)
{
CPoint cpt = new CPoint(i);
cpt.X = Xmix[2 * i, 0];
cpt.Y = Xmix[2 * i + 1, 0];
CTargetPtLt.Add(cpt);
}
CPolyline cpl = new CPolyline(0, CTargetPtLt);
return(cpl);
}