Пример #1
0
            /// <summary>
            /// returns the (possible) number of species in cell <paramref name="j"/>;
            /// </summary>
            /// <param name="j">
            /// local cell index;
            /// </param>
            /// <param name="ReducedRegionCode">
            /// on exit, the reduced region code for cell <paramref name="j"/>
            /// in an 3-adic representation; This number
            /// is later on required as an input for <see cref="GetSpeciesIndex(SpeciesId,int)"/>;
            /// </param>
            /// <returns></returns>
            /// <remarks>
            /// Here, three states for each of the for level sets are considered:
            /// <list type="bullet">
            ///   <item>positive far (FAR+)</item>
            ///   <item>negative far (FAR-)</item>
            ///   <item>positive near, negative near or cut</item>
            /// </list>
            /// This implies, that also for cells in the near region, memory is allocated for more than one
            /// species.
            /// </remarks>
            public int GetNoOfSpecies(int j, out ReducedRegionCode ReducedRegionCode)
            {
                ushort celJ = m_LevSetRegions[j];

                return(this.m_owner.GetNoOfSpeciesByRegionCode(celJ, out ReducedRegionCode));
            }
Пример #2
0
        /// <summary>
        /// evaluation of field in cut- or near - cells;
        /// </summary>
        private void EvaluateMultiphase(int jCell, NodeSet NS, ReducedRegionCode ReducedRegionCode, int NoOfSpecies, MultidimensionalArray result, int ResultCellindexOffset, double ResultPreScale,
                                        EvaluateInternalSignature EvalFunc,
                                        ref MultidimensionalArray[] Buffer, Func <int, int[]> BufferDim,
                                        Picker p)
        {
            LevelSetTracker trk         = this.Basis.Tracker;
            int             NoOfLevSets = trk.LevelSets.Count;
            int             M           = NS.NoOfNodes;

            {
                //var resultAcc = result.ExtractSubArrayShallow(new int[] { ResultCellindexOffset + j, 0 }, new int[] { ResultCellindexOffset + j, M - 1 });

                ushort RegionCode = trk.Regions.m_LevSetRegions[jCell];

                bool OnlyOneSpecies = true;
                for (int i = 0; i < NoOfLevSets; i++)
                {
                    int dst = LevelSetTracker.DecodeLevelSetDist(RegionCode, i);
                    if (dst == 0)
                    {
                        // cut-cell with respect or levelset #i
                        // +++++++++++++++++++++++++++++++++++++

                        OnlyOneSpecies = false;
                        _levSetVals[i] = trk.DataHistories[i].Current.GetLevSetValues(NS, jCell, 1);
                    }
                    else
                    {
                        // near-cell with respect or levelset #i
                        // +++++++++++++++++++++++++++++++++++++

                        // find the species index...
                        _levSetVals[i] = null;
                        _levSetSign[i] = dst;
                    }
                    //_levSetSign2[i] = dst;
                }


                if (OnlyOneSpecies)
                {
                    // all level sets are 'NEAR'
                    // +++++++++++++++++++++++++

                    LevelSetSignCode levset_bytecode = LevelSetSignCode.ComputeLevelSetBytecode(_levSetSign);
                    int SpecInd = trk.GetSpeciesIndex(ReducedRegionCode, levset_bytecode);

                    // evaluate species ...
                    Evaluate_ithSpecies(jCell, NS, result, ResultCellindexOffset, ResultPreScale, SpecInd, EvalFunc);
                }
                else
                {
                    // at least one cell is 'CUT'
                    // ++++++++++++++++++++++++++

                    // allocate buffers/evaluate all species ...
                    if (Buffer.Length < NoOfSpecies)
                    {
                        int oldL = Buffer.Length;
                        Array.Resize(ref Buffer, NoOfSpecies);
                        for (int i = oldL; i < NoOfSpecies; i++)
                        {
                            Buffer[i] = MultidimensionalArray.Create(BufferDim(M));
                        }
                    }
                    for (int i = 0; i < NoOfSpecies; i++)
                    {
                        if (Buffer[i].Dimension > 1 && Buffer[i].GetLength(1) != M)
                        {
                            Buffer[i].Allocate(BufferDim(M));
                        }

                        this.Evaluate_ithSpecies(jCell, NS, Buffer[i], 0, 0.0, i, EvalFunc);
                    }

                    // ... and pick the right species for the Node
                    for (int m = 0; m < M; m++)   // loop over nodes


                    {
                        for (int i = 0; i < NoOfLevSets; i++)
                        {
                            if (_levSetVals[i] != null)
                            {
                                _levSetSign[i] = _levSetVals[i][0, m];
                            }
                        }

                        LevelSetSignCode levset_bytecode = LevelSetSignCode.ComputeLevelSetBytecode(_levSetSign);
                        int SpecInd = trk.GetSpeciesIndex(ReducedRegionCode, levset_bytecode);

                        p(result, ResultCellindexOffset, m, SpecInd, Buffer);
                    }
                }
            }
        }