/// <summary>
/// finds the smallest bounding box (in the geometric binary tree) which contains cell <paramref name="jCell"/>;
/// </summary>
/// <param name="jCell"></param>
/// <return>
/// the bounding box information (branch and significant bits) for the bounding box of cell <paramref name="jCell"/>;
/// </return>
public BoundingBoxCode GetCellBoundingBoxCode(int jCell)
{
BoundingBoxCode ret;
int sigbits;
ret.Branch = GeomBinTreeBranchCode.Combine(CellMinCode[jCell], CellMaxCode[jCell], out sigbits);
ret.SignificantBits = (uint)sigbits;
return(ret);
}
/// <summary>
/// ctor
/// </summary>
/// <param name="grdDat"></param>
public CellLocalization(GridData grdDat)
{
m_GrdDat = grdDat;
int J = grdDat.Cells.NoOfLocalUpdatedCells;
int D = grdDat.SpatialDimension;
CellMinCode = new GeomBinTreeBranchCode[J];
CellMaxCode = new GeomBinTreeBranchCode[J];
// 1st pass: find bounding box of grid
// ===================================
GridBB = m_GrdDat.LocalBoundingBox;
GridBB.ExtendByFactor(0.01);
// 2nd pass: localize all cells
// ============================
CellMinCode = new GeomBinTreeBranchCode[J];
CellMaxCode = new GeomBinTreeBranchCode[J];
BoundingBox CellBB = new BoundingBox(D);
BoundingBox TreeBB = new BoundingBox(D);
var CellBB_points = new double[][] { CellBB.Min, CellBB.Max };
for (int j = 0; j < J; j++)
{
m_GrdDat.Cells.GetCellBoundingBox(j, CellBB);
//grdDat.TransformLocal2Global(verticesLoc, vericesGlob, j, 1, 0);
uint mincode = uint.MaxValue;
uint maxcode = 0;
foreach (var _pt in CellBB_points)
{
GeomBinTreeBranchCode cd = GeomBinTreeBranchCode.CreateFormPoint(GridBB, _pt);
mincode = Math.Min(mincode, cd.Code);
maxcode = Math.Max(maxcode, cd.Code);
}
CellMinCode[j].Code = mincode;
CellMaxCode[j].Code = maxcode;
// test
BoundingBoxCode currentlyGen = GetCellBoundingBoxCode(j);
GridBB.SubBoxFromCode(TreeBB, currentlyGen);
if (!TreeBB.Contains(CellBB))
{
throw new ApplicationException("internal error - should not occur");
}
}
}
/// <summary>
/// Usually used after <see cref="MergeLogically(GridCommons, GridCommons)"/>; this method finds element boundaries
/// which intersect geometrically, but not logically and inserts a <see cref="CellFaceTag"/> which connects those cells.
/// </summary>
/// <param name="g"></param>
/// <param name="upsampling"></param>
/// <returns></returns>
public static GridCommons Seal(GridCommons g, int upsampling = 4)
{
GridCommons R = g.CloneAs();
g = null;
GridData gdat = new GridData(R);
int D = gdat.SpatialDimension;
int J = gdat.Cells.NoOfLocalUpdatedCells;
if (R.CellPartitioning.MpiSize > 1)
{
throw new NotSupportedException("Not supported in MPI-parallel mode.");
}
//NodeSet[] TestNodes = gdat.Edges.EdgeRefElements.Select(KrefEdge => KrefEdge.GetSubdivisionTree(upsampling).GlobalVertice).ToArray();
NodeSet[] TestNodes = gdat.Edges.EdgeRefElements.Select(KrefEdge => KrefEdge.GetBruteForceQuadRule(upsampling, 1).Nodes).ToArray();
// Its better to use vertices in the interior of the element; if we use vertices at the corners, we might get
// intersection of edges that just share one point.
// Define all edges that will be tested (set to boundary edges)
// ============================================================
int[] UnknownEdges = gdat.BoundaryEdges.ItemEnum.ToArray();
int L = UnknownEdges.Sum(iEdg => TestNodes[gdat.Edges.GetRefElementIndex(iEdg)].NoOfNodes);
// Transform nodes on edges (that should be tested) to global coordinates
// ======================================================================
MultidimensionalArray TestNodesGlobal = MultidimensionalArray.Create(L, D);
MultidimensionalArray NormalsGlobal = MultidimensionalArray.Create(L, D);
int[] NodeToEdge = new int[L]; // pointer l -> Edge index, where l is the first index into 'TestNodesGlobal' & 'NormalsGlobal'
int[,] E2C = gdat.Edges.CellIndices;
int cnt = 0;
foreach (int iEdg in UnknownEdges)
{
int iKref = gdat.Edges.GetRefElementIndex(iEdg);
NodeSet Ns = TestNodes[iKref];
int K = Ns.NoOfNodes;
int[] I0 = new int[] { cnt, 0 };
int[] IE = new int[] { cnt + K - 1, D - 1 };
MultidimensionalArray TN = gdat.GlobalNodes.GetValue_EdgeSV(Ns, iEdg, 1);
TestNodesGlobal.SetSubArray(TN.ExtractSubArrayShallow(0, -1, -1), I0, IE);
MultidimensionalArray N1 = gdat.Edges.NormalsCache.GetNormals_Edge(Ns, iEdg, 1);
NormalsGlobal.SetSubArray(N1.ExtractSubArrayShallow(0, -1, -1), I0, IE);
for (int i = cnt; i < cnt + K; i++)
{
NodeToEdge[i] = iEdg;
}
cnt += K;
}
// binary tree to speed up point localization
int[] pl_Permutation = new int[L];
PointLocalization pl = new PointLocalization(TestNodesGlobal, 0.01, pl_Permutation);
Debug.Assert(!object.ReferenceEquals(pl.Points, TestNodesGlobal));
// compare search edges to all other nodes
// =======================================
// mapping: cell --> Neighbour cell index, face index
// 1st index: Cell index;
// 2nd index: enumeration
List <Tuple <int, int> >[] FoundPairings = new List <Tuple <int, int> > [gdat.Cells.NoOfCells];
int[][] C2E = gdat.Cells.Cells2Edges;
byte[,] E2F = gdat.Edges.FaceIndices;
int cnt2 = 0;
for (int iEdgC = 0; iEdgC < UnknownEdges.Length; iEdgC++) // loop over edges that may get sealed
{
int iEdg = UnknownEdges[iEdgC];
int iKref = gdat.Edges.GetRefElementIndex(iEdg);
NodeSet Ns = TestNodes[iKref];
int K = Ns.NoOfNodes;
int jCell1 = E2C[iEdg, 0];
Debug.Assert(E2C[iEdg, 1] < 0);
int iFace1 = E2F[iEdg, 0];
Debug.Assert(E2F[iEdg, 1] == byte.MaxValue);
int[] I0 = new int[] { cnt2, 0 };
int[] IE = new int[] { cnt2 + K - 1, D - 1 };
MultidimensionalArray TN = TestNodesGlobal.ExtractSubArrayShallow(I0, IE);
//MultidimensionalArray N1 = NormalsGlobal.ExtractSubArrayShallow(I0, IE);
// find bounding box for edge
BoundingBox bbEdge = new BoundingBox(TN);
if (bbEdge.h_min / bbEdge.h_max < 1.0e-5)
{
// very thin bounding box, thicken slightly
double delta = bbEdge.h_max * 1.0e-5;
for (int d = 0; d < D; d++)
{
bbEdge.Min[d] -= delta;
bbEdge.Max[d] += delta;
}
}
bbEdge.ExtendByFactor(0.01);
// determine binary code for bounding box
int bbEdgeSigBits;
GeomBinTreeBranchCode bbEdgeCode = GeomBinTreeBranchCode.Combine(
GeomBinTreeBranchCode.CreateFormPoint(pl.PointsBB, bbEdge.Min),
GeomBinTreeBranchCode.CreateFormPoint(pl.PointsBB, bbEdge.Max),
out bbEdgeSigBits);
// determine all points in bounding box
int iP0, Len;
pl.GetPointsInBranch(bbEdgeCode, bbEdgeSigBits, out iP0, out Len);
// determine all edged which potentially overlap with edge 'iEdg'
HashSet <int> PotOvrlap = new HashSet <int>(); // a set of edge indices
for (int n = 0; n < Len; n++)
{
int l = iP0 + n;
int iPt = pl_Permutation[l];
Debug.Assert(GenericBlas.L2DistPow2(pl.Points.GetRow(l), TestNodesGlobal.GetRow(iPt)) <= 0);
int iOvlpEdge = NodeToEdge[iPt];
if (iOvlpEdge != iEdg)
{
PotOvrlap.Add(iOvlpEdge);
}
}
//int[] PotOvrlap = UnknownEdges.CloneAs();
// determine actually overlapping boundary edges:
foreach (int iOvrlapEdge in PotOvrlap)
{
int jCell2 = E2C[iOvrlapEdge, 0];
Debug.Assert(E2C[iOvrlapEdge, 1] < 0);
if (jCell2 == jCell1)
{
continue;
}
int iFace2 = E2F[iOvrlapEdge, 0];
Debug.Assert(E2F[iOvrlapEdge, 1] == byte.MaxValue);
int AllreadyFound = FoundPairings[jCell1] == null ?
0 : FoundPairings[jCell1].Where(tp => tp.Item1 == jCell2 && tp.Item2 == iFace1).Count();
if (AllreadyFound > 1)
{
throw new ApplicationException("Error in algorithmus.");
}
if (AllreadyFound > 0)
{
continue;
}
var Kref_j2 = gdat.Cells.GetRefElement(jCell2);
double h = Kref_j2.GetMaxDiameter();
MultidimensionalArray LocVtx_j2 = MultidimensionalArray.Create(K, D);
bool[] NewtonConvervence = new bool[K];
gdat.TransformGlobal2Local(TN, LocVtx_j2, jCell2, NewtonConvervence);
for (int k = 0; k < K; k++) // loop over all transformed points
{
if (!NewtonConvervence[k])
{
continue;
}
double[] pt = LocVtx_j2.GetRow(k);
double[] ptClose = new double[D];
double dist = Kref_j2.ClosestPoint(pt, ptClose);
if (dist > h * 1.0e-8)
{
continue;
}
AffineManifold Face = Kref_j2.GetFacePlane(iFace2);
double FaceDist = Face.PointDistance(pt);
if (FaceDist.Abs() > 1.0e-8 * h)
{
continue;
}
NodeSet Ns2 = new NodeSet(Kref_j2, pt);
MultidimensionalArray Normals2 = MultidimensionalArray.Create(1, D);
gdat.Edges.GetNormalsForCell(Ns2, jCell2, iFace2, Normals2);
double[] N1d = NormalsGlobal.GetRow(cnt2 + k);
double[] N2d = Normals2.GetRow(0);
//Check if face normals points exactly in the opposite direction, 2 ways:
// 1) calculate angle between both normals -> bad choice because of Math.Acos
// 2) inner product of two opposite vectors is -1
//if (Math.Abs(Math.Abs(Math.Acos(GenericBlas.InnerProd(N1d, N2d))) - Math.PI) > 1.0e-8)
if (Math.Abs(GenericBlas.InnerProd(N1d, N2d) + 1.0) > 1.0e-8)
{
continue;
}
// if we reach this point, jCell1 should match with jCell2/iFace2
if (FoundPairings[jCell1] == null)
{
FoundPairings[jCell1] = new List <Tuple <int, int> >();
}
if (FoundPairings[jCell2] == null)
{
FoundPairings[jCell2] = new List <Tuple <int, int> >();
}
FoundPairings[jCell1].Add(new Tuple <int, int>(jCell2, iFace1));
FoundPairings[jCell2].Add(new Tuple <int, int>(jCell1, iFace2));
break; // no need to test jCell1 vs. jCell2 anymore
}
}
cnt2 += K;
}
// add the newly found pairings to the grid
for (int j = 0; j < J; j++)
{
var fp = FoundPairings[j];
if (fp != null)
{
foreach (var t in fp)
{
ArrayTools.AddToArray(new CellFaceTag()
{
EdgeTag = 0,
FaceIndex = t.Item2,
ConformalNeighborship = false,
NeighCell_GlobalID = gdat.CurrentGlobalIdPermutation.Values[t.Item1]
}, ref R.Cells[j].CellFaceTags);
}
}
}
return(R);
}
