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source: svn/trunk/Utilities/Fastjet/src/DnnPlane.cc@ 601

Last change on this file since 601 was 11, checked in by severine ovyn, 16 years ago

Fastjet added; CDFCones directory has been changed

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[11]1//STARTHEADER
2// $Id: DnnPlane.cc,v 1.1 2008-11-06 14:32:14 ovyn Exp $
3//
4// Copyright (c) 2005-2006, Matteo Cacciari and Gavin Salam
5//
6//----------------------------------------------------------------------
7// This file is part of FastJet.
8//
9// FastJet is free software; you can redistribute it and/or modify
10// it under the terms of the GNU General Public License as published by
11// the Free Software Foundation; either version 2 of the License, or
12// (at your option) any later version.
13//
14// The algorithms that underlie FastJet have required considerable
15// development and are described in hep-ph/0512210. If you use
16// FastJet as part of work towards a scientific publication, please
17// include a citation to the FastJet paper.
18//
19// FastJet is distributed in the hope that it will be useful,
20// but WITHOUT ANY WARRANTY; without even the implied warranty of
21// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
22// GNU General Public License for more details.
23//
24// You should have received a copy of the GNU General Public License
25// along with FastJet; if not, write to the Free Software
26// Foundation, Inc.:
27// 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
28//----------------------------------------------------------------------
29//ENDHEADER
30
31
32#ifndef DROP_CGAL // in case we do not have the code for CGAL
33
34#include<set>
35#include<list>
36#include "fastjet/internal/DnnPlane.hh"
37using namespace std;
38
39FASTJET_BEGIN_NAMESPACE // defined in fastjet/internal/base.hh
40
41
42/// Initialiser from a set of points on an Eta-Phi plane, where both
43/// eta and phi can have arbitrary ranges
44DnnPlane::DnnPlane(const vector<EtaPhi> & input_points,
45 const bool & verbose ) {
46
47 _verbose = verbose;
48 int n = input_points.size();
49
50 // construct Voronoi diagram in such a way as to get the vertex handles
51 // and remember to set CGAL info with the index of the vertex
52 SuperVertex sv;
53 for (int i = 0; i < n; i++) {
54 sv.vertex =
55 _TR.insert(Point(input_points[i].first, input_points[i].second));
56
57 // we are not up to dealing with coincident vertices, so make
58 // sure the user knows!
59 _CrashIfVertexPresent(sv.vertex, i);
60
61 // we need to assicate an index to each vertex -- thus when we get
62 // a vertex (e.g. as a nearest neighbour) from CGAL, we will be
63 // able to figure out which particle it corresponded to.
64 sv.vertex->info() = i;
65 _supervertex.push_back(sv);
66 }
67
68 // label infinite vertex info with negative index
69 _TR.infinite_vertex()->info() = INFINITE_VERTEX;
70
71 // set up the structure that holds nearest distances and neighbours
72 for (int j = 0; j < n; j++) {_SetNearest(j);}
73
74}
75
76
77//----------------------------------------------------------------------
78/// Crashes if the given vertex handle already exists. Otherwise
79/// it does the bookkeeping for future such tests
80void DnnPlane::_CrashIfVertexPresent(
81 const Vertex_handle & vertex, const int & its_index) {
82 if (!_crash_on_coincidence) return;
83
84 // vertices that do not have the same geometric position as any
85 // other vertex so far added have info().val() == NEW_VERTEX -- this
86 // is ensured by the InitialisedInt class, which forms the "info"
87 // part of our
88 // CGAL::Triangulation_vertex_base_with_info_2<InitialisedInt,K>
89 //
90 // If the vertex coincides with one that already exists, then
91 // info().val() it's info().val() will have been updated (in
92 // DNN:DNN) to be equal to a vertex "index".
93 if (vertex->info().val() != NEW_VERTEX) {
94 ostringstream err;
95 err << "ERROR in DnnPlane::_CrashIfVertexPresent"
96 <<endl << "Point "<<its_index<<" coincides with point "
97 <<vertex->info().val() << endl;
98 throw DnnError(err.str());
99 }
100}
101
102
103//----------------------------------------------------------------------
104/// remove the points labelled by the vector indices_to_remove, and
105/// add the points specified by the vector points_to_add
106/// (corresponding indices will be calculated automatically); the
107/// idea behind this routine is that the points to be added will
108/// somehow be close to the one or other of the points being removed
109/// and this can be used by the implementation to provide hints for
110/// inserting the new points in whatever structure it is using. In a
111/// kt-algorithm the points being added will be a result of a
112/// combination of the points to be removed -- hence the proximity
113/// is (more or less) guaranteed.
114void DnnPlane::RemoveAndAddPoints(
115 const vector<int> & indices_to_remove,
116 const vector<EtaPhi> & points_to_add,
117 vector<int> & indices_added,
118 vector<int> & indices_of_updated_neighbours) {
119
120
121 // build set of UNION of Voronoi neighbours of a pair of nearest
122 // neighbours
123 set<int> NeighbourUnion;
124 // later on it will be convenient to have access to a set (rather
125 // than vector) of indices being removed
126 set<int> indices_removed;
127
128 // for each of the indices to be removed add the voronoi neighbourhood to
129 // the NeighbourUnion set.
130 for (size_t ir = 0; ir < indices_to_remove.size(); ir++) {
131 int index = indices_to_remove[ir];
132 indices_removed.insert(index);
133 if (_verbose) cout << " Starting RemoveAndAddPoints" << endl;
134 if (_verbose) cout << " point " << index << endl;
135 // have a circulators that will go round the Voronoi neighbours of
136 // _supervertex[index1].vertex
137 Vertex_circulator vc = _TR.incident_vertices(_supervertex[index].vertex);
138 Vertex_circulator done = vc;
139 do {
140 // if a neighbouring vertex not the infinite vertex, then add it
141 // to our union of neighbouring vertices.
142 if (_verbose) cout << "examining " << vc->info().val() << endl;
143 if (vc->info().val() != INFINITE_VERTEX) {
144 // NB: from it=1 onwards occasionally it might already have
145 // been inserted -- but double insertion still leaves only one
146 // copy in the set, so there's no problem
147 NeighbourUnion.insert(vc->info().val());
148 if (_verbose) cout << "inserted " << vc->info().val() << endl;
149 }
150 } while (++vc != done);
151 }
152
153 if (_verbose) {
154 set<int>::iterator it = NeighbourUnion.begin();
155 cout << "Union of neighbours of combined points" << endl;
156 for ( ; it != NeighbourUnion.end(); ++it ) {
157 cout << *it << endl;
158 }
159 }
160
161 // update set, triangulation and supervertex info
162 for (size_t ir = 0; ir < indices_to_remove.size(); ir++) {
163 int index = indices_to_remove[ir];
164
165 // NeighbourUnion should not contain the points to be removed
166 // (because later we will assume they still exist).
167 NeighbourUnion.erase(indices_to_remove[ir]);
168
169 // points to be removed should also be eliminated from the
170 // triangulation and the supervertex structure should be updated
171 // to reflect the fact that the points are no longer valid.
172 _TR.remove(_supervertex[index].vertex);
173 _supervertex[index].vertex = NULL;
174 }
175
176 // add new point: give a "hint" to the inserter that
177 // the new point should be added close to old points -- the easiest way
178 // of getting this is to take a point from the NeighbourUnion AFTER we have
179 // removed point1, point2, and to get one of its incident faces.
180 //
181 // This hinting improves speed by c. 25% for 10^4 points because it
182 // avoids the need for a costly (sqrt{N}) location step (at least
183 // with a non-hierarchical triangulation -- with a hierarchical one,
184 // this step could be done away with, though there will still be a
185 // cost of O(ln N) to pay.
186 //
187 // For some reason inserting the point before the two removals
188 // slows things down by c. 25%. This importance of the order
189 // is not understood.
190 //
191 // At some point it might be worth trying to select the "nearest"
192 // of the various points in the neighbour union to avoid large
193 // steps in cases where we have 0..2pi periodicity and the first member
194 // of the neighbour union happens to be on the wrong side.
195 Face_handle face;
196 if (indices_to_remove.size() > 0) {
197 // face can only be found if there were points to remove in first place
198 face = _TR.incident_faces(
199 _supervertex[*NeighbourUnion.begin()].vertex);}
200 // make sure the output arrays are empty
201 indices_added.clear();
202 indices_of_updated_neighbours.clear();
203 for (size_t ia = 0; ia < points_to_add.size(); ia++) {
204 SuperVertex sv;
205 _supervertex.push_back(sv);
206 int index = _supervertex.size()-1;
207 indices_added.push_back(index);
208
209 if (indices_to_remove.size() > 0) {
210 // be careful of using face (for location hinting) only when it exists
211 _supervertex[index].vertex = _TR.insert(Point(points_to_add[ia].first,
212 points_to_add[ia].second),face);}
213 else {
214 _supervertex[index].vertex = _TR.insert(Point(points_to_add[ia].first,
215 points_to_add[ia].second));
216 }
217 // we are not up to dealing with coincident vertices, so make
218 // sure the user knows!
219 _CrashIfVertexPresent(_supervertex[index].vertex, index);
220 _supervertex[index].vertex->info() = index;
221
222 // first find nearest neighbour of "newpoint" (shorthand for
223 // _supervertex[index].vertex); while we're at it, for each of the
224 // voronoi neighbours, "D", of newpoint, examine whether newpoint is
225 // closer to "D" than D's current nearest neighbour -- when this
226 // occurs, put D into indices_of_updated_neighbours.
227 //
228 // manually put newpoint on indices_of_updated_neighbours
229 indices_of_updated_neighbours.push_back(index);
230 _SetAndUpdateNearest(index, indices_of_updated_neighbours);
231 }
232
233 // for Voronoi neighbours j of any of the removed points for which
234 // one of those removed points was the nearest neighbour,
235 // redetermine the nearest neighbour of j and add j onto the vector
236 // of indices_of_updated_neighbours.
237 set<int>::iterator it2 = NeighbourUnion.begin();
238 for ( ; it2 != NeighbourUnion.end(); ++it2 ) {
239 int j = *it2;
240 // the if avoids the vertex at infinity, which gets a negative index
241 if( j != INFINITE_VERTEX ) {
242 // this is where we check if the nearest neighbour of j was one
243 // of the removed points
244 if (indices_removed.count(_supervertex[j].NNindex)) {
245 if (_verbose) cout << "j " << j << endl;
246 _SetNearest(j);
247 indices_of_updated_neighbours.push_back(j);
248 if (_verbose) cout << "NN of " << j << " : "
249 << _supervertex[j].NNindex
250 << ", dist = " << _supervertex[j].NNdistance <<endl;
251 }
252 }
253 }
254
255}
256
257
258//----------------------------------------------------------------------
259/// Determines the index and distance of the nearest neighbour to
260/// point j and puts the information into the _supervertex entry for j.
261void DnnPlane::_SetNearest (const int & j) {
262 Vertex_handle current = _supervertex[j].vertex;
263 Vertex_circulator vc = _TR.incident_vertices(current);
264 Vertex_circulator done = vc;
265 double dist;
266 double mindist = HUGE_DOUBLE; // change this to "HUGE" or max_double?
267 Vertex_handle nearest = _TR.infinite_vertex();
268
269 // when there is only one finite point left in the triangulation,
270 // there are no triangles. Presumably this is why voronoi returns
271 // NULL for the incident vertex circulator. Check if this is
272 // happening before circulating over it... (Otherwise it crashes
273 // when looking for neighbours of last point)
274 if (vc != NULL) do {
275 if ( vc->info().val() != INFINITE_VERTEX) {
276 // find distance between j and its Voronoi neighbour (vc)
277 if (_verbose) cout << current->info().val() << " " << vc->info().val() << endl;
278 dist = _euclid_distance(current->point(), vc->point());
279 // check if j is closer to vc than vc's currently registered
280 // nearest neighbour (and update things if it is)
281 if (dist < mindist) {
282 mindist = dist; nearest = vc;
283 if (_verbose) cout << "nearer ";
284 }
285 if (_verbose) cout << vc->point() << "; "<< dist << endl;
286 }
287 } while (++vc != done); // move on to next Voronoi neighbour
288 // set j's supervertex info about nearest neighbour
289 _supervertex[j].NNindex = nearest->info().val();
290 _supervertex[j].NNdistance = mindist;
291}
292
293//----------------------------------------------------------------------
294/// Determines and stores the nearest neighbour of j, and where
295/// necessary update the nearest-neighbour info of Voronoi neighbours
296/// of j;
297///
298/// For each voronoi neighbour D of j if the distance between j and D
299/// is less than D's own nearest neighbour, then update the
300/// nearest-neighbour info in D; push D's index onto
301/// indices_of_updated_neighbours
302///
303/// Note that j is NOT pushed onto indices_of_updated_neighbours --
304/// if you want it there, put it there yourself.
305///
306/// NB: note that we have _SetAndUpdateNearest as a completely
307/// separate routine from _SetNearest because we want to
308/// use one single ciruclation over voronoi neighbours to find the
309/// nearest neighbour and to update the voronoi neighbours if need
310/// be.
311void DnnPlane::_SetAndUpdateNearest(
312 const int & j,
313 vector<int> & indices_of_updated_neighbours) {
314
315 Vertex_handle current = _supervertex[j].vertex;
316 Vertex_circulator vc = _TR.incident_vertices(current);
317 Vertex_circulator done = vc;
318 double dist;
319 double mindist = HUGE_DOUBLE; // change this to "HUGE" or max_double?
320 Vertex_handle nearest = _TR.infinite_vertex();
321
322 // when there is only one finite point left in the triangulation,
323 // there are no triangles. Presumably this is why voronoi returns
324 // NULL for the incident vertex circulator. Check if this is
325 // happening before circulating over it... (Otherwise it crashes
326 // when looking for neighbours of last point)
327 if (vc != NULL) do {
328 if (vc->info().val() != INFINITE_VERTEX) {
329 if (_verbose) cout << current->info().val() << " " << vc->info().val() << endl;
330 // find distance between j and its Voronoi neighbour (vc)
331 dist = _euclid_distance(current->point(), vc->point());
332 // update the mindist if we are closer than anything found so far
333 if (dist < mindist) {
334 mindist = dist; nearest = vc;
335 if (_verbose) cout << "nearer ";
336 }
337 // find index corresponding to vc for easy manipulation
338 int vcindx = vc->info().val();
339 if (_verbose) cout << vc->point() << "; "<< dist << endl;
340 // check if j is closer to vc than vc's currently registered
341 // nearest neighbour (and update things if it is)
342 if (dist < _supervertex[vcindx].NNdistance) {
343 if (_verbose) cout << vcindx << "'s NN becomes " << current->info().val() << endl;
344 _supervertex[vcindx].NNdistance = dist;
345 _supervertex[vcindx].NNindex = j;
346 indices_of_updated_neighbours.push_back(vcindx);
347 }
348 }
349 } while (++vc != done); // move on to next Voronoi neighbour
350 // set j's supervertex info about nearest neighbour
351 _supervertex[j].NNindex = nearest->info().val();
352 _supervertex[j].NNdistance = mindist;
353}
354
355FASTJET_END_NAMESPACE
356
357#endif // DROP_CGAL
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