/// <summary>
/// performs one timestep
/// </summary>
/// <param name="dt">size of timestep</param>
public override double Perform(double dt)
{
using (var tr = new ilPSP.Tracing.FuncTrace()) {
if (TimeStepConstraints != null)
{
dt = CalculateTimeStep();
}
double[][] k = new double[m_Scheme.Stages][];
for (int i = 0; i < m_Scheme.Stages; i++)
{
k[i] = new double[Mapping.LocalLength];
}
double[] y0 = new double[Mapping.LocalLength];
DGCoordinates.CopyTo(y0, 0);
// logging
tr.Info("Runge-Kutta Scheme with " + m_Scheme.Stages + " stages.");
double time0 = m_Time;
tr.Info("time = " + time0 + ", dt = " + dt);
// berechne k[0]
ComputeChangeRate(k[0], m_Time, 0);// invokes MPI communication
for (int s = 1; s < m_Scheme.Stages; s++)
{
PerformStage(y0, s, k, dt);
m_Time = time0 + m_Scheme.c[s] * dt;
ComputeChangeRate(k[s], m_Time, m_Scheme.c[s] * dt);// invokes MPI communication
}
// next timestep
DGCoordinates.Clear();
DGCoordinates.CopyFrom(y0, 0);
Array.Clear(y0, 0, y0.Length);
for (int s = 0; s < m_Scheme.Stages; s++)
{
if (m_Scheme.b[s] != 0.0)
{
BLAS.daxpy(y0.Length, -m_Scheme.b[s] * dt, k[s], 1, y0, 1);
}
}
DGCoordinates.axpy <double[]>(y0, 1.0);
base.ApplyFilter(dt);
m_Time = time0 + dt;
}
return(dt);
}
protected override double[] ComputesUpdatedDGCoordinates(double[] completeChangeRate)
{
double[] y0 = new double[Mapping.LocalLength];
DGCoordinates.CopyTo(y0, 0);
DGCoordinates.axpy <double[]>(completeChangeRate, -1);
// Speciality for IBM: Do the extrapolation
speciesMap.Agglomerator.Extrapolate(DGCoordinates.Mapping);
double[] upDGC = DGCoordinates.ToArray();
upDGC = OrderValuesBySgrd(upDGC);
// DGCoordinates should be untouched after calling this method
DGCoordinates.Clear();
DGCoordinates.CopyFrom(y0, 0);
return(upDGC);
}
/// <summary>
/// performs one Explicit Euler timestep
/// </summary>
/// <param name="dt">size of timestep</param>
public virtual double Perform(double dt)
{
using (new ilPSP.Tracing.FuncTrace()) {
if (TimeStepConstraints != null)
{
dt = CalculateTimeStep();
}
double[] k = new double[Mapping.LocalLength];
ComputeChangeRate(k, m_Time, 0);
DGCoordinates.axpy <double[]>(k, -dt);
ApplyFilter(dt);
m_Time += dt;
}
return(dt);
}
/// <summary>
/// Performs a single stage of a timestep.
/// </summary>
/// <param name="y0">Initial DG coordinates</param>
/// <param name="s">The current stage</param>
/// <param name="k">The current change rate</param>
/// <param name="dt">The size of the timestep</param>
protected virtual void PerformStage(double[] y0, int s, double[][] k, double dt)
{
DGCoordinates.Clear();
DGCoordinates.axpy <double[]>(y0, 1.0);
double relTime = 0;
for (int r = 0; r < s; r++)
{
if (m_Scheme.a[s, r] != 0.0)
{
DGCoordinates.axpy <double[]>(k[r], -dt * m_Scheme.a[s, r]);
relTime += dt * m_Scheme.a[s, r];
}
}
base.ApplyFilter(dt * relTime);
}
/// <summary>
/// Performs a time step
/// </summary>
/// <param name="dt">Time step size that equals -1, if no fixed time step is prescribed</param>
public override double Perform(double dt)
{
using (new ilPSP.Tracing.FuncTrace()) {
if (ABevolver[0].HistoryChangeRate.Count >= order - 1)
{
bool reclustered = false;
if (adaptive)
{
if (timestepNumber % reclusteringInterval == 0)
{
// Fix for update problem of artificial viscosity
RaiseOnBeforeComputechangeRate(Time, dt);
Clusterer.Clustering oldClustering = CurrentClustering;
// Necessary in order to use the number of sub-grids specified by the user for the reclustering in each time step
// Otherwise the value could be changed by the constructor of the parent class (AdamsBashforthLTS.cs) --> CreateSubGrids()
CurrentClustering = clusterer.CreateClustering(numberOfClustersInitial, this.SubGrid);
CurrentClustering = CalculateNumberOfLocalTS(CurrentClustering); // Might remove sub-grids when time step sizes are too similar
reclustered = clusterer.CheckForNewClustering(oldClustering, CurrentClustering);
// After the intitial phase, activate adaptive mode for all ABevolve objects
foreach (ABevolve abE in ABevolver)
{
abE.adaptive = true;
}
if (reclustered)
{
ShortenHistories(ABevolver);
ABevolve[] oldABevolver = ABevolver;
CreateNewABevolver();
CopyHistoriesOfABevolver(oldABevolver);
}
GetBoundaryTopology();
#if DEBUG
if (reclustered)
{
Console.WriteLine("RECLUSTERING");
}
#endif
}
}
// Number of substeps could have changed
if (TimeStepConstraints != null)
{
dt = CalculateTimeStep();
}
double[,] CorrectionMatrix = new double[CurrentClustering.NumberOfClusters, CurrentClustering.NumberOfClusters];
// Saves the results at t_n
double[] y0 = new double[Mapping.LocalLength];
DGCoordinates.CopyTo(y0, 0);
double time0 = m_Time;
double time1 = m_Time + dt;
TimestepNumber subTimestep = new TimestepNumber(timestepNumber - 1);
// Evolves each sub-grid with its own time step (only one step)
// (The result is not written to m_DGCoordinates!)
for (int i = 0; i < ABevolver.Length; i++)
{
//localABevolve[i].completeBndFluxes.Clear();
//if (localABevolve[i].completeBndFluxes.Any(x => x != 0.0)) Console.WriteLine("Not all Bnd fluxes were used in correction step!!!");
ABevolver[i].Perform(dt / (double)NumberOfLocalTimeSteps[i]);
}
// After evolving each cell update the time with dt_min
m_Time = m_Time + dt / (double)NumberOfLocalTimeSteps[CurrentClustering.NumberOfClusters - 1];
if (saveToDBCallback != null)
{
subTimestep = subTimestep.NextIteration();
saveToDBCallback(subTimestep, m_Time);
}
// Saves the history of DG_Coordinates for each cluster
Queue <double[]>[] historyDGC_Q = new Queue <double[]> [CurrentClustering.NumberOfClusters];
for (int i = 0; i < historyDGC_Q.Length; i++)
{
historyDGC_Q[i] = ABevolver[i].HistoryDGCoordinate;
}
if (!adaptive)
{
// Saves DtHistory for each cluster
historyTime_Q = new Queue <double> [CurrentClustering.NumberOfClusters];
for (int i = 0; i < historyTime_Q.Length; i++)
{
historyTime_Q[i] = ABevolver[i].HistoryTime;
}
}
// Perform the local time steps
for (int localTS = 1; localTS < NumberOfLocalTimeSteps.Last(); localTS++)
{
for (int id = 1; id < CurrentClustering.NumberOfClusters; id++)
{
//Evolve Condition: Is "ABevolve.Time" at "AB_LTS.Time"?
if ((ABevolver[id].Time - m_Time) < 1e-10)
{
double localDt = dt / NumberOfLocalTimeSteps[id];
foreach (Chunk chunk in CurrentClustering.Clusters[id].VolumeMask)
{
foreach (int cell in chunk.Elements)
{
// f == each field
// n == basis polynomial
foreach (DGField f in Mapping.Fields)
{
for (int n = 0; n < f.Basis.GetLength(cell); n++)
{
int coordinateIndex = Mapping.LocalUniqueCoordinateIndex(f, cell, n);
DGCoordinates[coordinateIndex] = historyDGC_Q[id].Last()[coordinateIndex];
}
}
}
}
Dictionary <int, double> myDic = InterpolateBoundaryValues(historyDGC_Q, id, ABevolver[id].Time);
foreach (KeyValuePair <int, double> kvp in myDic)
{
DGCoordinates[kvp.Key] = kvp.Value;
}
ABevolver[id].Perform(localDt);
m_Time = ABevolver.Min(s => s.Time);
if (saveToDBCallback != null)
{
subTimestep = subTimestep.NextIteration();
saveToDBCallback(subTimestep, m_Time);
}
}
// Are we at an (intermediate-) syncronization levels?
// For conservatvity, we have to correct the values of the larger cell cluster
if (fluxCorrection)
{
for (int idCoarse = 0; idCoarse < id; idCoarse++)
{
if (Math.Abs(ABevolver[id].Time - ABevolver[idCoarse].Time) < 1e-10 &&
!(Math.Abs(ABevolver[idCoarse].Time - CorrectionMatrix[idCoarse, id]) < 1e-10))
{
if (fluxCorrection)
{
CorrectFluxes(idCoarse, id, historyDGC_Q);
}
CorrectionMatrix[idCoarse, id] = ABevolver[idCoarse].Time;
}
}
}
}
}
// Finalize step
// Use unmodified values in history of DGCoordinates (DGCoordinates could have been modified by
// InterpolateBoundaryValues, should be resetted afterwards)
DGCoordinates.Clear();
for (int id = 0; id < historyDGC_Q.Length; id++)
{
DGCoordinates.axpy <double[]>(historyDGC_Q[id].Last(), 1);
}
// Update time
m_Time = time0 + dt;
}
else
{
double[] currentChangeRate = new double[Mapping.LocalLength];
double[] upDGC = new double[Mapping.LocalLength];
// Save time history
if (adaptive)
{
for (int i = 0; i < ABevolver.Length; i++)
{
double[] currentTime = new double[ABevolver[i].ABSubGrid.LocalNoOfCells];
for (int j = 0; j < currentTime.Length; j++)
{
currentTime[j] = m_Time;
}
ABevolver[i].historyTimePerCell.Enqueue(currentTime);
}
}
else
{
if (ABevolver[0].HistoryTime.Count == 0)
{
for (int i = 0; i < ABevolver.Length; i++)
{
ABevolver[i].HistoryTime.Enqueue(m_Time);
}
}
}
// Needed for the history
for (int i = 0; i < CurrentClustering.NumberOfClusters; i++)
{
double[] localCurrentChangeRate = new double[currentChangeRate.Length];
double[] edgeFlux = new double[gridData.iGeomEdges.Count * Mapping.Fields.Count];
ABevolver[i].ComputeChangeRate(localCurrentChangeRate, m_Time, 0, edgeFlux);
ABevolver[i].HistoryChangeRate.Enqueue(localCurrentChangeRate);
ABevolver[i].HistoryBoundaryFluxes.Enqueue(edgeFlux);
}
dt = RungeKuttaScheme.Perform(dt);
DGCoordinates.CopyTo(upDGC, 0);
// Saves ChangeRateHistory for AB LTS
// Only entries for the specific cluster
for (int i = 0; i < CurrentClustering.NumberOfClusters; i++)
{
ABevolver[i].HistoryDGCoordinate.Enqueue(OrderValuesByCluster(CurrentClustering.Clusters[i], upDGC));
if (!adaptive)
{
ABevolver[i].HistoryTime.Enqueue(RungeKuttaScheme.Time);
}
}
// RK is a global timeStep
// -> time update for all other timeStepper with rk.Time
m_Time = RungeKuttaScheme.Time;
foreach (ABevolve ab in ABevolver)
{
ab.ResetTime(m_Time, timestepNumber);
}
}
}
if (adaptive)
{
timestepNumber++;
}
return(dt);
}
/// <summary>
/// performs one time step
/// </summary>
/// <param name="dt">size of time step</param>
public override double Perform(double dt)
{
using (new ilPSP.Tracing.FuncTrace()) {
if (TimeStepConstraints != null)
{
dt = CalculateTimeStep();
}
// new array object needed, because currentChangeRate from last time steps are stored in historyCR queue (in queues are only references of the array)
CurrentChangeRate = new double[Mapping.LocalLength];
CompleteChangeRate = new double[Mapping.LocalLength];
// AB only possible if history with "order-1" entries exists
// e.g: order=3 needs t_n (currentChangeRate), t_n-1 (history(2)), t_n-2 (history(1)) --> history has 2 entries
if (HistoryChangeRate.Count >= order - 1)
{
ABCoefficients = ComputeCoefficients(dt, HistoryTime.ToArray());
ComputeChangeRate(CurrentChangeRate, m_Time, 0);
//y <-- alpha*x + y
BLAS.daxpy(CompleteChangeRate.Length, ABCoefficients[0], CurrentChangeRate, 1, CompleteChangeRate, 1);
// calculate completeChangeRate
int i = 1;
foreach (double[] oldRate in HistoryChangeRate)
{
BLAS.daxpy(CompleteChangeRate.Length, ABCoefficients[i], oldRate, 1, CompleteChangeRate, 1);
i++;
}
// perform time step
DGCoordinates.axpy <double[]>(CompleteChangeRate, -1);
m_Time += dt;
HistoryTime.Enqueue(m_Time);
HistoryTime.Dequeue();
HistoryChangeRate.Enqueue(CurrentChangeRate);
HistoryChangeRate.Dequeue();
}
else
{
if (HistoryTime.Count == 0)
{
HistoryTime.Enqueue(RungeKuttaScheme.Time);
}
// Needed for the history
ComputeChangeRate(CurrentChangeRate, m_Time, 0);
// RungeKutta with order+1 starts the time stepping
RungeKuttaScheme.Perform(dt);
// Disposal RK after "order" of time steps
if (HistoryChangeRate.Count == order - 1)
{
RungeKuttaScheme = null;
}
m_Time = RungeKuttaScheme.Time;
HistoryTime.Enqueue(RungeKuttaScheme.Time);
HistoryChangeRate.Enqueue(CurrentChangeRate);
}
}
return(dt);
}