/// <summary>
/// see <see cref="DGField.Evaluate(int,int,NodeSet,MultidimensionalArray,int,double)"/>
/// </summary>
override public void Evaluate(int j0, int Len, NodeSet NS, MultidimensionalArray result, int ResultIndexOffset, double ResultPreScale)
{
int D = GridDat.SpatialDimension; // spatial dimension
int N = m_Basis.Length; // number of coordinates per cell
int M = NS.NoOfNodes; // number of nodes
if (result.Dimension != 2)
{
throw new ArgumentOutOfRangeException("result", "dimension of result array must be 2");
}
if (Len > result.GetLength(0) + ResultIndexOffset)
{
throw new ArgumentOutOfRangeException("mismatch between Len and 0-th length of result");
}
if (result.GetLength(1) != M)
{
throw new ArgumentOutOfRangeException();
}
var coöSys = NS.GetNodeCoordinateSystem(this.GridDat);
var resultAcc = result.ExtractSubArrayShallow(new int[] { ResultIndexOffset, 0 }, new int[] { ResultIndexOffset + Len - 1, M - 1 });
if (coöSys != NodeCoordinateSystem.CellCoord)
{
throw new ArgumentOutOfRangeException();
}
var coord = m_Mda_Coordinates.ExtractSubArrayShallow(new int[] { j0, 0 }, new int[] { j0 + Len - 1, N - 1 });
DGField.EvaluateInternal(j0, Len, NS, this.m_Basis, coord, resultAcc, ResultPreScale);
}
/// <summary>
/// Evaluates the gradient of the field;
/// </summary>
/// <param name="j0">local index of the first cell to evaluate</param>
/// <param name="Len">Number of cells to evaluate</param>
/// <param name="NS">
/// As usual, the node set.
/// </param>
/// <param name="result">
/// on exit, result of the evaluations are accumulated there;
/// the original content is scaled by <paramref name="ResultPreScale"/>;
/// 1st index: cell index minus <paramref name="j0"/>;
/// 2nd index: node index;
/// 3rd index: spatial coordinate;
/// </param>
/// <param name="ResultCellindexOffset">
/// an offset for the first index of <paramref name="result"/>;
/// </param>
/// <param name="ResultPreScale">
/// see <paramref name="result"/>
/// </param>
public override void EvaluateGradient(int j0, int Len, NodeSet NS, MultidimensionalArray result, int ResultCellindexOffset, double ResultPreScale)
{
int D = GridDat.SpatialDimension; // spatial dimension
int N = m_Basis.Length; // number of coordinates per cell
int M = NS.NoOfNodes; // number of nodes
var resultAcc = result.ExtractSubArrayShallow(new int[] { ResultCellindexOffset, 0, 0 }, new int[] { ResultCellindexOffset + Len - 1, M - 1, D - 1 });
var coöSys = NS.GetNodeCoordinateSystem(this.GridDat);
if (coöSys != NodeCoordinateSystem.CellCoord)
{
throw new ArgumentOutOfRangeException();
}
DGField.EvaluateGradientInternal(j0, Len, NS, this.m_Basis, m_Mda_Coordinates, j0, resultAcc, ResultPreScale);
}
protected static void EvaluateEdgeInternal(int e0, int Len, NodeSet NS, Basis _Basis, MultidimensionalArray Coord,
MultidimensionalArray valIN, MultidimensionalArray valOT,
MultidimensionalArray meanValIN, MultidimensionalArray meanValOT,
MultidimensionalArray gradIN, MultidimensionalArray gradOT,
double ResultPreScale)
{
// checks and init
// ===============
var grd = _Basis.GridDat;
int NoOfNodes = NS.NoOfNodes;
bool AffineLinear = grd.iGeomEdges.IsEdgeAffineLinear(e0);
Debug.Assert(NS.GetNodeCoordinateSystem(grd) == NodeCoordinateSystem.EdgeCoord);
Debug.Assert(valIN == null || valIN.Dimension == 2);
Debug.Assert(valOT == null || valOT.Dimension == 2);
Debug.Assert(valIN == null || valIN.GetLength(0) == Len);
Debug.Assert(valOT == null || valOT.GetLength(0) == Len);
Debug.Assert(valIN == null || valIN.GetLength(1) == NoOfNodes);
Debug.Assert(valOT == null || valOT.GetLength(1) == NoOfNodes);
int[,] trfIdx = grd.iGeomEdges.Edge2CellTrafoIndex;
int[,] E2Cl = grd.iGeomEdges.LogicalCellIndices;
int[,] E2Cg = grd.iGeomEdges.CellIndices;
// transform DG coördinates
// ========================
int Nin = _Basis.GetLength(E2Cl[e0, 0]);
int Not = Nin;
#if DEBUG
for (int e = 0; e < Len; e++)
{
int iEdge = e + e0;
int jCellIN = E2Cl[iEdge, 0];
int jCellOT = E2Cl[iEdge, 1];
Debug.Assert(_Basis.GetLength(jCellIN) == Nin);
if (jCellOT >= 0)
{
Debug.Assert(_Basis.GetLength(jCellOT) == Not);
}
}
#endif
int iBufIN, iBufOT = 0;
MultidimensionalArray trfCoördinatesIN = TempBuffer.GetTempMultidimensionalarray(out iBufIN, Len, Nin);
MultidimensionalArray trfCoördinatesOT = Not > 0 ? TempBuffer.GetTempMultidimensionalarray(out iBufOT, Len, Not) : null;
TransformCoördinatesEdge(e0, Len, grd, Coord, Nin, Not, _Basis.Degree, AffineLinear, trfCoördinatesIN, trfCoördinatesOT);
// Evaluate
// ========
unsafe
{
fixed(int *pTrfIndex = trfIdx)
{
MultidimensionalArray BasisValues = null;
Debug.Assert((valIN != null) == (valOT != null));
if (valIN != null)
{
// compute the values
// -------------------
BasisValues = grd.ChefBasis.EdgeEval.GetValues(NS, e0, Len, _Basis.Degree);
Debug.Assert(BasisValues.Dimension == 3);
MultidimensionalArray BasisValuesIN, BasisValuesOT;
if (BasisValues.GetLength(2) > Nin)
{
BasisValuesIN = BasisValues.ExtractSubArrayShallow(new int[] { 0, 0, 0 }, new int[] { BasisValues.GetLength(0) - 1, NoOfNodes - 1, Nin - 1 });
}
else
{
BasisValuesIN = BasisValues;
}
if (BasisValues.GetLength(2) > Not)
{
if (Nin == Not)
{
BasisValuesOT = BasisValuesIN;
}
else
{
BasisValuesOT = BasisValues.ExtractSubArrayShallow(new int[] { 0, 0, 0 }, new int[] { BasisValues.GetLength(0) - 1, NoOfNodes - 1, Nin - 1 });
}
}
else
{
BasisValuesOT = BasisValues;
}
{
valIN.Multiply(1.0, trfCoördinatesIN, BasisValuesIN, ResultPreScale, ref mp_ik_im_Tikm,
pTrfIndex, pTrfIndex,
trfPreOffset_A: 0, trfCycle_A: 0, trfPostOffset_A: 0, trfPreOffset_B: (2 * e0), trfCycle_B: 2, trfPostOffset_B: 0);
}
if (Not > 0)
{
valOT.Multiply(1.0, trfCoördinatesOT, BasisValuesOT, ResultPreScale, ref mp_ik_im_Tikm,
pTrfIndex, pTrfIndex,
trfPreOffset_A: 0, trfCycle_A: 0, trfPostOffset_A: 0, trfPreOffset_B: (2 * e0 + 1), trfCycle_B: 2, trfPostOffset_B: 0);
}
}
Debug.Assert((meanValIN != null) == (meanValOT != null));
if (meanValIN != null)
{
// compute the mean values
// -----------------------
var _Basis0Values = BasisValues;
if (_Basis0Values == null)
{
_Basis0Values = grd.ChefBasis.EdgeEval.GetValues(NS, e0, Len, 0);
}
// assume the 0-th basis polynomial \f$ \phi_0 \f$ is constant!
_Basis0Values = _Basis0Values.ExtractSubArrayShallow(new int[] { 0, 0, 0 }, new int[] { BasisValues.GetLength(0) - 1, -1, -1 });
// DG coördinates for the 0-th mode:
var _trfCoördinatesIN = trfCoördinatesIN.ExtractSubArrayShallow(new int[] { 0, 0 }, new int[] { Len - 1, -1 });
var _trfCoördinatesOT = trfCoördinatesOT.ExtractSubArrayShallow(new int[] { 0, 0 }, new int[] { Len - 1, -1 });
{
meanValIN.Multiply(1.0, _trfCoördinatesIN, _Basis0Values, ResultPreScale, ref mp_i_i_Ti,
pTrfIndex, pTrfIndex,
trfPreOffset_A: 0, trfCycle_A: 0, trfPostOffset_A: 0, trfPreOffset_B: (2 * e0), trfCycle_B: 2, trfPostOffset_B: 0);
}
if (Not > 0)
{
meanValOT.Multiply(1.0, _trfCoördinatesOT, _Basis0Values, ResultPreScale, ref mp_i_i_Ti,
pTrfIndex, pTrfIndex,
trfPreOffset_A: 0, trfCycle_A: 0, trfPostOffset_A: 0, trfPreOffset_B: (2 * e0 + 1), trfCycle_B: 2, trfPostOffset_B: 0);
}
}
Debug.Assert((gradIN != null) == (gradOT != null));
if (gradIN != null)
{
// compute gradient values
// -----------------------
int D = grd.SpatialDimension;
int iBuf2;
MultidimensionalArray GradientRef = TempBuffer.GetTempMultidimensionalarray(out iBuf2, Len, NoOfNodes, D);
MultidimensionalArray BasisGradValues = grd.ChefBasis.EdgeGradientEval.GetValues(NS, e0, Len, _Basis.Degree);
Debug.Assert(BasisGradValues.Dimension == 4);
MultidimensionalArray BasisGradValuesIN, BasisGradValuesOT;
if (BasisGradValues.GetLength(2) > Nin)
{
BasisGradValuesIN = BasisGradValues.ExtractSubArrayShallow(new int[] { 0, 0, 0, 0 }, new int[] { BasisGradValues.GetLength(0) - 1, NoOfNodes - 1, Nin - 1, D - 1 });
}
else
{
BasisGradValuesIN = BasisGradValues;
}
if (BasisGradValues.GetLength(2) > Not)
{
if (Nin == Not)
{
BasisGradValuesOT = BasisGradValuesIN;
}
else
{
BasisGradValuesOT = BasisGradValues.ExtractSubArrayShallow(new int[] { 0, 0, 0, 0 }, new int[] { BasisGradValues.GetLength(0) - 1, NoOfNodes - 1, Nin - 1, D - 1 });
}
}
else
{
BasisGradValuesOT = BasisGradValues;
}
if (AffineLinear)
{
// ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
// affine-linear-cell:
// Inverse Jacobian different for each cell, but constant among nodes
// ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
var InvJacobi = grd.iGeomCells.InverseTransformation;
Debug.Assert(grd is Grid.Classic.GridData, "implementation only valid for classic grid");
Debug.Assert(object.ReferenceEquals(E2Cg, E2Cl));
fixed(int *pE2Cl = E2Cl)
{
{
GradientRef.Multiply(1.0, trfCoördinatesIN, BasisGradValuesIN, 0.0, ref mp_ike_im_Tikme,
pTrfIndex, pTrfIndex,
trfPreOffset_A: 0, trfCycle_A: 0, trfPostOffset_A: 0, trfPreOffset_B: (2 * e0), trfCycle_B: 2, trfPostOffset_B: 0); // gradient in reference coördinates
gradIN.Multiply(1.0, InvJacobi, GradientRef, ResultPreScale, ref mp_ikd_Tied_ike,
pE2Cl, pE2Cl,
trfPreOffset_A: (2 * e0), trfCycle_A: 2, trfPostOffset_A: 0, trfPreOffset_B: 0, trfCycle_B: 0, trfPostOffset_B: 0);
}
if (Not > 0)
{
GradientRef.Multiply(1.0, trfCoördinatesOT, BasisGradValuesOT, 0.0, ref mp_ike_im_Tikme,
pTrfIndex, pTrfIndex,
trfPreOffset_A: 0, trfCycle_A: 0, trfPostOffset_A: 0, trfPreOffset_B: (2 * e0 + 1), trfCycle_B: 2, trfPostOffset_B: 0); // gradient in reference coördinates
gradOT.Multiply(1.0, InvJacobi, GradientRef, ResultPreScale, ref mp_ikd_Tied_ike,
pE2Cl, pE2Cl,
trfPreOffset_A: (2 * e0 + 1), trfCycle_A: 2, trfPostOffset_A: 0, trfPreOffset_B: 0, trfCycle_B: 0, trfPostOffset_B: 0);
}
}
}
else
{
// ++++++++++++++++++++++++++++++++++++++++++++++++++++++
// curved-cell:
// Inverse Jacobian different for each node and each cell
// ++++++++++++++++++++++++++++++++++++++++++++++++++++++
MultidimensionalArray invJacobiIN, invJacobiOT;
var TiJ = grd.InverseJacobian.GetValue_EdgeDV(NS, e0, Len);
invJacobiIN = TiJ.Item1;
invJacobiOT = TiJ.Item2;
{
GradientRef.Multiply(1.0, trfCoördinatesIN, BasisGradValuesIN, 0.0, ref mp_ike_im_Tikme,
pTrfIndex, pTrfIndex,
trfPreOffset_A: 0, trfCycle_A: 0, trfPostOffset_A: 0, trfPreOffset_B: (2 * e0), trfCycle_B: 2, trfPostOffset_B: 0); // gradient in reference coördinates, i.e. \f$ \nabla_{\vec{xi}} \f$
gradIN.Multiply(1.0, invJacobiIN, GradientRef, ResultPreScale, ref mp_ikd_iked_ike); // gradient in physical coördinates, i.e. \f$ \nabla_{\vec{x}}n \f$
}
if (Not > 0)
{
GradientRef.Multiply(1.0, trfCoördinatesOT, BasisGradValuesOT, 0.0, ref mp_ike_im_Tikme,
pTrfIndex, pTrfIndex,
trfPreOffset_A: 0, trfCycle_A: 0, trfPostOffset_A: 0, trfPreOffset_B: (2 * e0 + 1), trfCycle_B: 2, trfPostOffset_B: 0); // gradient in reference coördinates, i.e. \f$ \nabla_{\vec{xi}} \f$
gradOT.Multiply(1.0, invJacobiOT, GradientRef, ResultPreScale, ref mp_ikd_iked_ike); // gradient in physical coördinates, i.e. \f$ \nabla_{\vec{x}} \f$
}
}
TempBuffer.FreeTempBuffer(iBuf2);
}
}
}
TempBuffer.FreeTempBuffer(iBufIN);
if (Not > 0)
{
TempBuffer.FreeTempBuffer(iBufOT);
}
/*
* {
* var _BasisValues = grd.ChefBasis.EdgeEval.GetValues(NS, e0, Len, _Basis.Degree);
*
*
* var resultINAccCheck = valIN.CloneAs();
* var resultOTAccCheck = valOT.CloneAs();
*
* for(int e = 0; e < Len; e++) {
* int iEdge = e + e0;
* int jCellIN = E2C[iEdge, 0];
* int jCellOT = E2C[iEdge, 1];
* int iTrfIN = trfIdx[iEdge, 0];
* int iTrfOT = trfIdx[iEdge, 1];
*
* for(int k = 0; k < NoOfNodes; k++) {
* int BN = _Basis.GetLength(jCellIN);
*
* resultINAccCheck[e, k] *= ResultPreScale;
* resultOTAccCheck[e, k] *= ResultPreScale;
*
* for(int n = 0; n < BN; n++) {
* double Cinerr = trfCoördinatesIN[e, n] - Coord[jCellIN, n];
* double Coterr = jCellOT >= 0 ? trfCoördinatesOT[e, n] - Coord[jCellOT, n] : 0.0;
*
* if(Math.Abs(Cinerr) > 1.0e-5)
* Console.WriteLine("44fuckIN" + e);
* if(Math.Abs(Coterr) > 1.0e-5)
* Console.WriteLine("44fuckOT" + e);
*
*
* resultINAccCheck[e, k] += Coord[jCellIN, n] * _BasisValues[iTrfIN, k, n];
* if(jCellOT >= 0)
* resultOTAccCheck[e, k] += Coord[jCellOT, n] * _BasisValues[iTrfOT, k, n];
*
* }
*
* double Vinerr = resultINAccCheck[e, k] - valIN[e, k];
* double Voterr = jCellOT >= 0 ? resultOTAccCheck[e, k] - valOT[e, k] : 0.0;
*
*
*
* if(Math.Abs(Vinerr) > 1.0e-5)
* Console.WriteLine("44fuckIN" + e);
* if(Math.Abs(Voterr) > 1.0e-5)
* Console.WriteLine("44fuckOT" + e);
* }
*
* }
*
* //resultINAcc.Set(resultINAccCheck);
* //resultOTAcc.Set(resultOTAccCheck);
* } */
}
/// <summary>
/// Evaluates the field along edges.
/// </summary>
/// <param name="ResultIndexOffset">
/// An offset for the first index of <paramref name="ValueIN"/> resp. <paramref name="ValueOT"/>,
/// i.e. the first result will be written to
/// <paramref name="ValueIN"/>[<paramref name="ResultIndexOffset"/>,*].
/// </param>
/// <param name="e0">Index of the first edge to evaluate.</param>
/// <param name="Len">Number of edges to evaluate</param>
/// <param name="NS">
/// nodes to evaluate at
/// </param>
/// <param name="ValueIN">
/// If not null, contains the following output:
/// On exit, the value of the DG field at the given nodes are
/// <em>accumulated</em> (!) there. Before the values are added,
/// the original content is scaled by <paramref name="ResultPreScale"/>.<br/>
/// The array is 2-dimensional:
/// <list type="bullet">
/// <item>
/// 1st index: edge index <i>j</i> - <paramref name="e0"/>;
/// </item>
/// <item>
/// 2nd index: node index <i>k</i>, corresponds with 1st index of
/// the node set <paramref name="NS"/>;
/// </item>
/// </list>
/// </param>
/// <param name="ValueOUT">
/// Same as <paramref name="ValueIN"/>.
/// </param>
/// <param name="MeanValueIN">
/// If not null, contains the following output:
/// On exit, the mean values of the DG field at the given edges are
/// <em>accumulated</em> (!) there. Before the values are added,
/// the original content is scaled by <paramref name="ResultPreScale"/>.<br/>
/// The array is 2-dimensional:
/// <list type="bullet">
/// <item>
/// 1st index: edge index <i>j</i> - <paramref name="e0"/>;
/// </item>
/// <item>
/// 2nd index: node index <i>k</i>, corresponds with 1st index of
/// the node set <paramref name="NS"/>;
/// </item>
/// </list>
/// </param>
/// <param name="MeanValueOT">
/// Same as <paramref name="MeanValueIN"/>.
/// </param>
/// <param name="GradientIN">
/// If not null, contains the following output:
/// On exit, the value of the gradient of DG field at the given nodes
/// are <em>accumulated</em> (!) there. Before the values are added,
/// the original content is scaled by <paramref name="ResultPreScale"/>.<br/>
/// The array is 3-dimensional:
/// <list type="bullet">
/// <item>
/// 1st index: edge index <i>j</i> - <paramref name="e0"/>;
/// </item>
/// <item>
/// 2nd index: node index <i>k</i>, corresponds with 1st index of
/// the node set <paramref name="NS"/>;
/// </item>
/// <item>
/// 2rd index: spatial dimension;
/// </item>
/// </list>
/// </param>
/// <param name="GradientOT">
/// Same as <paramref name="GradientIN"/>.
/// </param>
/// <param name="ResultPreScale">
/// Scaling that is applied to <paramref name="ValueIN"/> and <paramref name="ValueOUT"/> before
/// the field evaluation is added
/// </param>
public override void EvaluateEdge(int e0, int Len, NodeSet NS,
MultidimensionalArray ValueIN, MultidimensionalArray ValueOT,
MultidimensionalArray MeanValueIN = null, MultidimensionalArray MeanValueOT = null,
MultidimensionalArray GradientIN = null, MultidimensionalArray GradientOT = null,
int ResultIndexOffset = 0, double ResultPreScale = 0.0) //
{
int D = GridDat.SpatialDimension; // spatial dimension
int N = m_Basis.Length; // number of coordinates per cell
int K = NS.NoOfNodes; // number of nodes
if ((ValueIN != null) != (ValueOT != null))
{
throw new ArgumentException();
}
if ((MeanValueIN != null) != (MeanValueOT != null))
{
throw new ArgumentException();
}
if ((GradientIN != null) != (GradientOT != null))
{
throw new ArgumentException();
}
if (ValueIN != null)
{
if (ValueIN.Dimension != 2)
{
throw new ArgumentException("result", "dimension of result array must be 2");
}
if (Len > ValueIN.GetLength(0) + ResultIndexOffset)
{
throw new ArgumentException("mismatch between Len and 0-th length of result");
}
if (ValueIN.GetLength(1) != K)
{
throw new ArgumentException();
}
if (ValueOT.Dimension != 2)
{
throw new ArgumentException("result", "dimension of result array must be 2");
}
if (Len > ValueOT.GetLength(0) + ResultIndexOffset)
{
throw new ArgumentException("mismatch between Len and 0-th length of result");
}
if (ValueOT.GetLength(1) != K)
{
throw new ArgumentException();
}
if (!(ResultIndexOffset == 0 && Len == ValueIN.GetLength(0)))
{
ValueIN = ValueIN.ExtractSubArrayShallow(new int[] { ResultIndexOffset, 0 }, new int[] { ResultIndexOffset + Len - 1, K - 1 });
}
if (!(ResultIndexOffset == 0 && Len == ValueOT.GetLength(0)))
{
ValueOT = ValueOT.ExtractSubArrayShallow(new int[] { ResultIndexOffset, 0 }, new int[] { ResultIndexOffset + Len - 1, K - 1 });
}
}
if (MeanValueIN != null)
{
if (MeanValueIN.Dimension != 1)
{
throw new ArgumentException("Dimension of mean-value result array must be 1.");
}
if (Len > MeanValueIN.GetLength(0) + ResultIndexOffset)
{
throw new ArgumentException("mismatch between Len and 0-th length of result");
}
if (MeanValueOT.Dimension != 1)
{
throw new ArgumentException("Dimension of mean-value result array must be 1.");
}
if (Len > MeanValueOT.GetLength(0) + ResultIndexOffset)
{
throw new ArgumentException("mismatch between Len and 0-th length of result");
}
if (!(ResultIndexOffset == 0 && Len == MeanValueIN.GetLength(0)))
{
MeanValueIN = MeanValueIN.ExtractSubArrayShallow(new int[] { ResultIndexOffset }, new int[] { ResultIndexOffset + Len - 1 });
}
if (!(ResultIndexOffset == 0 && Len == MeanValueOT.GetLength(0)))
{
MeanValueOT = MeanValueOT.ExtractSubArrayShallow(new int[] { ResultIndexOffset }, new int[] { ResultIndexOffset + Len - 1 });
}
}
if (GradientIN != null)
{
if (GradientIN.Dimension != 3)
{
throw new ArgumentException("Dimension of gradient result array must be 3.");
}
if (Len > GradientIN.GetLength(0) + ResultIndexOffset)
{
throw new ArgumentException("mismatch between Len and 0-th length of result");
}
if (GradientIN.GetLength(1) != K)
{
throw new ArgumentException();
}
if (GradientIN.GetLength(2) != D)
{
throw new ArgumentException();
}
if (GradientOT.Dimension != 3)
{
throw new ArgumentException("Dimension of gradient result array must be 3.");
}
if (Len > GradientOT.GetLength(0) + ResultIndexOffset)
{
throw new ArgumentException("mismatch between Len and 0-th length of result");
}
if (GradientOT.GetLength(1) != K)
{
throw new ArgumentException();
}
if (GradientOT.GetLength(2) != D)
{
throw new ArgumentException();
}
if (!(ResultIndexOffset == 0 && Len == GradientIN.GetLength(0)))
{
GradientIN = GradientIN.ExtractSubArrayShallow(new int[] { ResultIndexOffset, 0, 0 }, new int[] { ResultIndexOffset + Len - 1, K - 1, D - 1 });
}
if (!(ResultIndexOffset == 0 && Len == GradientOT.GetLength(0)))
{
GradientOT = GradientOT.ExtractSubArrayShallow(new int[] { ResultIndexOffset, 0, 0 }, new int[] { ResultIndexOffset + Len - 1, K - 1, D - 1 });
}
}
var coöSys = NS.GetNodeCoordinateSystem(this.GridDat);
if (coöSys != NodeCoordinateSystem.EdgeCoord)
{
throw new ArgumentOutOfRangeException();
}
DGField.EvaluateEdgeInternal(e0, Len, NS, this.m_Basis, this.m_Mda_Coordinates,
ValueIN, ValueOT,
MeanValueIN, MeanValueOT,
GradientIN, GradientOT,
ResultPreScale);
}
