/// <summary>
/// Compute the probability that an ant uses exactly the specified steps, and
/// display the probability on the screen.
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void Compute_Prob_Click(object sender, EventArgs e)
{
// Calculate the probability of an ant walking to the diagonal, using
// exact the number of steps specified by user.
try
{
// Try to parse string for steps to int.
int steps = int.Parse(ProbOfStep.Text);
ProbOfStepRes.Text = StatisticsCal.probOfStep(steps).ToString();
}
catch (FormatException)
{
// If fail to parse, do nothing and wait for a valid input.
}
}
/// <summary>
/// When the Simulate button is clicked, the program makes the calculation
/// and display the mean and standard deviation on the screen.
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void Simulate_Click(object sender, EventArgs e)
{
// Clean up the history from previous calculation
GlobalData.frequencyThread.Clear();
GlobalData.frequency.Clear();
try
{
// Try to parse the string for num of threads to int.
GlobalData.threads = int.Parse(numOfThreads.Text);
if (GlobalData.threads <= 0)
{
throw new FormatException();
}
// Use the manual parallel instead of using Task Parallel Library.
GlobalData.useTPL = false;
}
catch (FormatException)
{
// If the number of threads are not provided, or provided
// in a wrong format, than use Task Parallel Library.
GlobalData.useTPL = true;
}
try
{
// Try to parse the string for num of ants into int.
GlobalData.numAnts = int.Parse(numOfAnts.Text);
if (GlobalData.numAnts <= 0)
{
throw new FormatException();
}
// If there are more threads than ants, reduce the number of the
// threads to the number of ants.
GlobalData.threads = Math.Min(GlobalData.threads, GlobalData.numAnts);
// Choose which simulation method to use.
if (GlobalData.useTPL)
{
SimulationTPL.Simuluation();
}
else
{
SimulationMan.Simulation();
}
// Calculate the mean and standard deviation.
GlobalData.mean = StatisticsCal.findMean();
GlobalData.deviation = StatisticsCal.findDeviation();
// Display the mean and variable on the screen.
StepMean.Text = GlobalData.mean.ToString();
StepVar.Text = GlobalData.deviation.ToString();
}
catch (FormatException)
{
// If fail to parse or wrong input, clear history and wait for a valid input.
this.chart1.Series.Clear();
StepMean.Text = "";
StepVar.Text = "";
}
}