/// Compute suitable limits and bin width.
/// @param from approximate lower limit of first histogram bin.
/// @param to approximate upper limit of last histogram bin.
/// @param bins desired number of bins.
/// @exception ArgumentOutOfRangeException
/// if the number of bins is non-positive,
/// if the limits are inversed.
private void DefineParameters(double from, double to, int bins)
{
if (from >= to)
{
throw new ArgumentOutOfRangeException(
"Inverted range: minimum = " + from + ", maximum = " + to);
}
if (bins < 1)
{
throw new ArgumentOutOfRangeException(
"Non-positive number of bins: " + bins);
}
_binWidth = DhbMath.RoundToScale((to - from) / bins,
_integerBinWidth);
_minimum = _binWidth * Math.Floor(from / _binWidth);
int numberOfBins = (int)Math.Ceiling((to - _minimum) / _binWidth);
if (_minimum + numberOfBins * _binWidth <= to)
{
numberOfBins++;
}
_contents = new int[numberOfBins];
_cached = false;
_cache = null;
Reset();
}
/// Initializes internal parameters to start the iterative process.
/// Assigns default derivative if necessary.
public override void InitializeIterations()
{
if (_df == null)
{
_df = new FunctionDerivative(_f);
}
if (double.IsNaN(_result))
{
_result = 0;
}
int n = 0;
Random random = new Random();
while (DhbMath.Equal(_df.Value(_result), 0))
{
if (++n > MaximumIterations)
{
break;
}
_result += random.NextDouble();
}
}
