private void computeButton_Click(object sender, EventArgs e)
{
var bb = input.Trajectory.BuildBoundingBox();
var bbDiagonal = Math.Sqrt(Math.Pow(bb.Width, 2) + Math.Pow(bb.Height, 2));
var detailFactor = ((double)detailPercentileNumericUpDown.Value) * bbDiagonal;
var zoomFactor = (double)zoomFactorNumericUpDown.Value;
var numLevels = (int)numLevelsNumericUpDown.Value;
var errors = new List <double>();
for (var level = 1; level <= numLevels; level++)
{
errors.Add(detailFactor / Math.Pow(zoomFactor, numLevels - level));
}
NewSamples.Invoke(errors);
}
private void BuildErrorDistribution()
{
if (maxErrors == null)
{
return;
}
var numEpsilons = maxErrors.Count;
var start = (double)(lowerPercentageChooser.Value / 100 * (numEpsilons - 1));
var end = (double)(upperPercentageChooser.Value / 100 * (numEpsilons - 1));
var numLevels = (int)numLevelsNumericUpDown.Value;
var range = end - start;
var step = numLevels == 1 ? 0 : range / (numLevels - 1);
var errors = new List <double>();
var index = start;
for (var level = 1; level <= numLevels; level++)
{
var intIndex = (int)index;
var epsilon = maxErrors[intIndex];
if (index > intIndex && (intIndex + 1 <= maxErrors.Count - 1))
{
var nextEpsilon = maxErrors[intIndex + 1];
var remainder = index - intIndex;
epsilon += (nextEpsilon - epsilon) * remainder;
}
errors.Add(epsilon);
index += step;
}
NewSamples.Invoke(errors);
}
