private void Initialize(int N, int Dims, List <int>[] ids, double[][] P, double[] Y)
{
this.N = N;
this.Dims = Dims;
this.ids = ids;
this.P = P;
this.Y = Y;
// initialize reusable allocations
Grad = new double[N * Dims];
GradT = new double[N * Dims];
Ydelta = new double[N * Dims];
gains = new double[N * Dims];
for (int i = N * Dims - 1; i >= 0; i--)
{
gains[i] = 1;
}
//initialize repulsion methods
ChosenRepulsionMethod = GradientConfig.RepulsionMethod;
if (ChosenRepulsionMethod == RepulsionMethods.auto || ChosenRepulsionMethod == RepulsionMethods.barnes_hut)
{
HST = new HashSpatialTree(N, Dims, Y);
}
if (ChosenRepulsionMethod == RepulsionMethods.auto || ChosenRepulsionMethod == RepulsionMethods.fft)
{
InitializeFFTRepulsion(Y, GradT);
}
}
public HSTNode(HashSpatialTree tree)
{
this.tree = tree;
this.D = tree.D;
this.DIds = new int[1 << D + 1];
this.children = new HSTNode[1 << D];
COM = new double[D];
}
public HSTNode(HashSpatialTree tree, int[] DIds, HSTNode[] children)
{
this.tree = tree;
this.D = tree.D;
this.DIds = DIds;
Count = DIds[1 << D] - DIds[0];
this.children = children;
COM = new double[D];
}
private void ChooseRepulsionMethod(long[] test_repulsion)
{
long min_time = long.MaxValue;
for (int i = 1; i < test_repulsion.Length; i++)
{
if (min_time > test_repulsion[i])
{
min_time = test_repulsion[i];
ChosenRepulsionMethod = (RepulsionMethods)i;
}
}
Console.WriteLine("Chosen repulsion method:\t{0}", ChosenRepulsionMethod);
if (ChosenRepulsionMethod != RepulsionMethods.barnes_hut)
{
HST = null;
}
if (ChosenRepulsionMethod != RepulsionMethods.fft)
{
FFTR = null;
}
}
