Fixed KDTree recursion and splitting technique
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parent
d4a14d7d85
commit
80951b4b52
3 changed files with 113 additions and 33 deletions
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@ -7,13 +7,14 @@
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#include "mykdtree.hpp"
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#include "kdtree_splitters.hpp"
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#define NTRY 100
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#define NTRY 10
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#define ND 3
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using namespace std;
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using namespace CosmoTool;
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typedef KDTree<ND,char,ComputePrecision,KD_homogeneous_cell_splitter<ND, char> > MyTree;
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//typedef KDTree<ND,char,ComputePrecision > MyTree;
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typedef KDCell<ND,char> MyCell;
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MyCell *findNearest(MyTree::coords& xc, MyCell *cells, uint32_t Ncells)
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@ -39,7 +40,7 @@ MyCell *findNearest(MyTree::coords& xc, MyCell *cells, uint32_t Ncells)
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int main()
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{
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uint32_t Ncells = 100000;
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uint32_t Ncells = 10000000;
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MyCell *cells = new MyCell[Ncells];
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for (int i = 0; i < Ncells; i++)
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@ -49,8 +50,16 @@ int main()
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cells[i].coord[l] = drand48();
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}
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// Check timing
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clock_t startTimer = clock();
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MyTree tree(cells, Ncells);
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clock_t endTimer = clock();
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clock_t delta = endTimer-startTimer;
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double myTime = delta*1.0/CLOCKS_PER_SEC * 1.0;
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cout << "KDTree build = " << myTime << " s" << endl;
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MyTree::coords *xc = new MyTree::coords[NTRY];
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cout << "Generating seeds..." << endl;
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@ -69,31 +78,39 @@ int main()
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for (int k = 0; k < NTRY; k++) {
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cout << "Seed = " << xc[k][0] << " " << xc[k][1] << " " << xc[k][2] << endl;
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tree.getNearestNeighbours(xc[k], 12, ngb, distances);
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int last = -1;
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for (uint32_t i = 0; i < 12; i++)
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{
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if (ngb[i] == 0)
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continue;
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last = i;
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double d2 = 0;
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for (int l = 0; l < 3; l++)
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d2 += ({double delta = xc[k][l] - ngb[i]->coord[l]; delta*delta;});
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fngb << ngb[i]->coord[0] << " " << ngb[i]->coord[1] << " " << ngb[i]->coord[2] << " " << sqrt(d2) << endl;
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}
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fngb << endl << endl;
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double farther_dist = distances[11];
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fngb << endl << endl;
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double farther_dist = distances[last];
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for (uint32_t i = 0; i < Ncells; i++)
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{
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bool found = false;
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// If the points is not in the list, it means it is farther than the farther point
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for (int j =0; j < 12; j++)
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// If the points is not in the list, it means it is farther than the farthest point
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for (int j =0; j < 12; j++)
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{
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if (&cells[i] == ngb[j]) {
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found = true;
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break;
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}
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}
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double dist_to_seed = 0;
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for (int l = 0; l < 3; l++)
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{ double delta = xc[k][l]-cells[i].coord[l];
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dist_to_seed += delta*delta; }
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double dist_to_seed = 0;
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for (int l = 0; l < 3; l++)
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{
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double delta = xc[k][l]-cells[i].coord[l];
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dist_to_seed += delta*delta;
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}
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if (!found)
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{
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if (dist_to_seed <= farther_dist)
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