private void DrawBasePoints(FittingFunction fittingFunction)
{
var points = new List <Point>();
var xValues = ChebyshevApproximation.GenerateX(a, b, step);
for (int i = 0; i < xValues.Length; i++)
{
points.Add(new Point(xValues[i], fittingFunction(xValues[i])));
}
RealDataPlotFor1.ItemsSource = RealDataPlotFor2.ItemsSource = RealDataPlotFor3.ItemsSource
= RealDataPlotFor4.ItemsSource = RealDataPlotFor5.ItemsSource = RealDataPlotFor6.ItemsSource
= RealDataPlotFor7.ItemsSource = RealDataPlotFor8.ItemsSource = RealDataPlotFor9.ItemsSource
= points;
}
private void DrawMSE_Func()
{
var rank = ChebyshevApproximation.CalculateRank(a, b, step);
var xValues = new Libs.Matrix(ChebyshevApproximation.GenerateX(a, b, step));
var yValues = new Libs.Matrix(new float[rank, 1]);
for (int j = 0; j < yValues.Height; j++)
{
yValues[j, 0] = (float)ApproximatedFunction(xValues[0, j]);
}
var coefs = MeanSquaredErrorApproximation.Approximate(xValues, yValues, 1);
MnkK1Plotter.ItemsSource = GeneratePoints(coefs);
coefs = MeanSquaredErrorApproximation.Approximate(xValues, yValues, 2);
MnkK2Plotter.ItemsSource = GeneratePoints(coefs);
coefs = MeanSquaredErrorApproximation.Approximate(xValues, yValues, 3);
MnkK3Plotter.ItemsSource = GeneratePoints(coefs);
coefs = MeanSquaredErrorApproximation.Approximate(xValues, yValues, 4);
MnkK4Plotter.ItemsSource = GeneratePoints(coefs);
coefs = MeanSquaredErrorApproximation.Approximate(xValues, yValues, 5);
MnkK5Plotter.ItemsSource = GeneratePoints(coefs);
coefs = MeanSquaredErrorApproximation.Approximate(xValues, yValues, 6);
MnkK6Plotter.ItemsSource = GeneratePoints(coefs);
coefs = MeanSquaredErrorApproximation.Approximate(xValues, yValues, 7);
MnkK7Plotter.ItemsSource = GeneratePoints(coefs);
coefs = MeanSquaredErrorApproximation.Approximate(xValues, yValues, 8);
MnkK8Plotter.ItemsSource = GeneratePoints(coefs);
coefs = MeanSquaredErrorApproximation.Approximate(xValues, yValues, 9);
MnkK9Plotter.ItemsSource = GeneratePoints(coefs);
}
