private void UpdateProgressBar(IterationArgument e)
{
this.Invoke((MethodInvoker) delegate
{
progressBar.Value = e.Value;
});
}
public MathMatrix <decimal> Compute()
{
var progressVal = new IterationArgument();
progressVal.Value = iterations;
resetProgressBar?.Invoke(progressVal);
StartWriter();
for (int i = 0; i < iterations; i++)
{
Ants.ForEach(ant =>
{
var t = new Thread(new ThreadStart(() => ant.Move(this)));
t.Start();
t.Join();
});
//Ants.ForEach(ant => ant.Move(this));
Ants.ForEach(ant => ant.LeaveSense(this));
DecreaseSenseOnNodes();
ReportIterationStatusToFile();
progressVal.Value = i;
WriteData(i, signals.Multiply(FindBestSolution().Matrix.ConvertResultToVelociti()).AverageStatisticError(times));
updateProgressBar?.Invoke(progressVal);
}
var bestNode = FindBestSolution();
writer.Close();
return(bestNode.Matrix);
}
private void ResetProgressBar(IterationArgument e)
{
this.Invoke((MethodInvoker) delegate
{
progressBar.Maximum = e.Value;
progressBar.Step = 1;
progressBar.Value = 0;
});
}
private void Compute()
{
var progressVal = new IterationArgument();
start();
progressVal.Value = iterations;
resetProgressBar?.Invoke(progressVal);
result = new MathMatrix <decimal>(1, signals.Width);
if (!randomStart)
{
decimal averageVelocity = 0;
for (int i = 0; i < times.Height; i++)
{
averageVelocity += signals.RowSum(i) / times[i, 0];
}
averageVelocity = averageVelocity / times.Height;
averageVelocity -= averageVelocity - (int)averageVelocity;
averageVelocity -= averageVelocity % 100;
for (int i = 0; i < result.Height; i++)
{
result[i, 0] = averageVelocity;
}
}
else
{
result.PutRandomValuesIntoMatrix(300, 2000, 2);
}
result = result.ConvertResultToVelociti();
var AT = signals.Transpose();
var C = new MathMatrix <decimal>(signals.Width, signals.Width);
for (int i = 0; i < C.Width; i++)
{
C[i, i] = signals.ColumnSum(i) == 0 ? 0 : 1 / signals.ColumnSum(i);
}
var R = new MathMatrix <decimal>(signals.Height, signals.Height);
for (int i = 0; i < R.Width; i++)
{
R[i, i] = signals.RowSum(i) == 0 ? 0 : 1 / signals.RowSum(i);
}
var CATR = C.Multiply(AT).Multiply(R);
StartWriter();
for (iter = 0; iter < iterations; iter++)
{
var m1 = signals.Multiply(result);
var m2 = times.Subtract(m1);
var m3 = CATR.Multiply(m2);
result = result.Add(m3);
progressVal.Value = iter;
WriteData(iter, signals.Multiply(result).AverageStatisticError(times));
updateProgressBar?.Invoke(progressVal);
}
ConvertResultToVelociti();
writer.Close();
stop();
var tmp = DateTime.Now;
var filename = ("\\" + "Sirt_Result" + tmp.ToShortDateString() + tmp.ToShortTimeString()).Replace('.', '_').Replace(':', '_') + ".txt";
result.PrinttoFile(filename);
}
