private void Demo(object target)
{
// Fit synchronously using Marquardt algorithm
ResetGuess();
MessageBox.Show("Synchronous Marquardt fit algorithm");
// Wait 2 seconds
Thread.Sleep(2000);
f.Color = Color.Red; // set function color to red
plot.Model.Update(f);
Fit fit = new Fit(data, f, Fit.FitAlgorithm.Marquardt);
fit.StepInterval = 0; // set minimal time interval between Step events to 0, in order to show the progress of the fit.
fit.Step += FitStep;
fit.Solve(); // Start synchronous Solve
f.Color = Color.Black; // fitting finished, set function color back to black
plot.Model.Update(f);
if (fit.Error) // An exception occured in the fitting algorithm
{
MessageBox.Show("Error: " + fit.Exception.Message);
}
// Fit asynchronously using NelderMead algorithm
ResetGuess();
MessageBox.Show("Asynchronous Nelder & Mead fit algorithm");
// Wait 2 seconds
Thread.Sleep(2000);
f.Color = Color.Red; // set function color to red
plot.Model.Update(f);
fit = new Fit(data, f, Fit.FitAlgorithm.NelderMead);
fit.StepInterval = 0; // set minimal time interval between Step events to 0, in order to show the progress of the fit.
delay = 75; // set up speed of Nelder & Mead fit faster than Marquardt fit, because Nelder & Mead will invoke the Step event
// more often.
fit.Step += FitStep;
IAsyncResult res = fit.BeginSolve(null, null); // Start asynchronous Solve
fit.EndSolve(res); // wait for Solve completion
f.Color = Color.Black; // fitting finished, set function color back to black
plot.Model.Update(f);
if (fit.Error) // An exception occured in the fitting algorithm
{
MessageBox.Show("Error: " + fit.Exception.Message);
}
}
