public void Add(double value, T data)
{
++m_count;
m_sum.Add(value);
if ((m_options & StatsOptions.Min) != 0)
{
m_min.AddMin(value, data);
}
if ((m_options & StatsOptions.Max) != 0)
{
m_max.AddMax(value, data);
}
if ((m_options & StatsOptions.NeedsSumOfSquares) != 0)
{
m_sumOfSquares.Add(Fun.Square(value));
}
}
public static float Dist2Squared(this Vector <float> v0, Vector <float> v1) => v0.InnerProduct(v1, (x0, x1) => Fun.Square(x1 - x0), 0.0f, (s, p) => s + p);
/// <summary>
/// Returns the Euclidean (or 2-) distance between two matrices.
/// </summary>
public static __ctype__ Distance2(__nmtype__ a, __nmtype__ b)
{
return /*# if (ctype != "double") {*/ ((__ctype__)/*# } */ Fun.Sqrt(/*# n.ForEach(i => { m.ForEach(j => { */
Fun.Square(b.M__i____j__ - a.M__i____j__) /*# }, add); }, add); */));
}
public static double Dist2Squared(this Vector <double> v0, Vector <double> v1) => v0.InnerProduct(v1, (x0, x1) => Fun.Square(x1 - x0), 0.0, (s, p) => s + p);
public static __ft__ Dist2Squared(this Vector <__ft__> v0, Vector <__ft__> v1) => v0.InnerProduct(v1, (x0, x1) => Fun.Square(x1 - x0), __zero__, (s, p) => s + p);
