COIN-OR::LEMON - Graph Library

source: lemon-0.x/src/work/athos/preflow_push.hh @ 470:b64956c701c9

Last change on this file since 470:b64956c701c9 was 331:f5461f8bc59b, checked in by athos, 21 years ago

Elkezdtem atirni a preflow_push-t. Csinaltam egy backupot graph wrapper nelkul (without gw, azaz wogw)

File size: 10.8 KB
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[331]1#ifndef HUGO_PREFLOW_PUSH_HH
2#define HUGO_PREFLOW_PUSH_HH
[36]3
[331]4//#include <algorithm>
[36]5#include <list>
6#include <vector>
[331]7#include <queue>
[36]8//#include "pf_hiba.hh"
9//#include <marci_list_graph.hh>
[77]10//#include <marci_graph_traits.hh>
[331]11#include <invalid.h>
12#include <graph_wrapper.h>
13//#include <reverse_bfs.hh>
[36]14
15using namespace std;
16
[105]17namespace hugo {
[36]18
[331]19  template <typename Graph, typename T>
[36]20  class preflow_push {
21
[331]22    //Useful typedefs
23    typedef typename Graph::Node Node;
24    typedef typename Graph::NodeIt NodeIt;
25    typedef typename Graph::Edge Edge;
26    typedef typename Graph::OutEdgeIt OutEdgeIt;
27    typedef typename Graph::InEdgeIt InEdgeIt;
[77]28
29
[36]30    //---------------------------------------------
31    //Parameters of the algorithm
32    //---------------------------------------------
33    //Fully examine an active node until excess becomes 0
34    enum node_examination_t {examine_full, examine_to_relabel};
35    //No more implemented yet:, examine_only_one_edge};
36    node_examination_t node_examination;
37    //Which implementation to be used
38    enum implementation_t {impl_fifo, impl_highest_label};
39    //No more implemented yet:};
40    implementation_t implementation;
41    //---------------------------------------------
42    //Parameters of the algorithm
43    //---------------------------------------------
44 
45  private:
46    //input
[331]47    Graph& G;
48    Node s;
49    Node t;
50    typename Graph::EdgeMap<T> &capacity;
51
[36]52    //output
[331]53    typename Graph::EdgeMap<T> preflow;
[36]54    T maxflow_value;
55 
56    //auxiliary variables for computation
[331]57    //The number of the nodes
[36]58    int number_of_nodes;
[331]59    //A nodemap for the level
60    typename Graph::NodeMap<int> level;
61    //A nodemap for the excess
62    typename Graph::NodeMap<T> excess;
[36]63   
64    //Number of nodes on each level
65    vector<int> num_of_nodes_on_level;
66   
67    //For the FIFO implementation
[331]68    list<Node> fifo_nodes;
[36]69    //For 'highest label' implementation
70    int highest_active;
71    //int second_highest_active;
[331]72    vector< list<Node> > active_nodes;
[36]73
74  public:
75 
76    //Constructing the object using the graph, source, sink and capacity vector
77    preflow_push(
[331]78                      Graph& _G,
79                      Node _s,
80                      Node _t,
81                      typename Graph::EdgeMap<T> & _capacity)
[36]82      : G(_G), s(_s), t(_t),
83        capacity(_capacity),
84        preflow(_G),
85        //Counting the number of nodes
[77]86        //number_of_nodes(count(G.first<EachNodeIt>())),
87        number_of_nodes(G.nodeNum()),
88
[36]89        level(_G),
90        excess(_G)//,
91        // Default constructor: active_nodes()
92    {
93      //Simplest parameter settings
94      node_examination = examine_full;//examine_to_relabel;//
95      //Which implementation to be usedexamine_full
96      implementation = impl_highest_label;//impl_fifo;
97 
98      //
99      num_of_nodes_on_level.resize(2*number_of_nodes-1);
100      num_of_nodes_on_level.clear();
101
102      switch(implementation){
103      case impl_highest_label :{
[331]104        active_nodes.clear();
[36]105        active_nodes.resize(2*number_of_nodes-1);
[331]106       
[36]107        break;
108      }
109      default:
110        break;
111      }
112
113    }
114
115    //Returns the value of a maximal flow
116    T run();
117 
[331]118    typename Graph::EdgeMap<T>  getmaxflow(){
[36]119      return preflow;
120    }
121
122
123  private:
124    //For testing purposes only
125    //Lists the node_properties
[331]126    void write_property_vector(typename Graph::NodeMap<T> a,
127                               //node_property_vector<Graph, T> a,
[36]128                               char* prop_name="property"){
[331]129      for(NodeIt i=G.template first<NodeIt>(); G.valid(i); G.next(i)) {
130        cout<<"Node id.: "<<G.id(i)<<", "<<prop_name<<" value: "<<a[i]<<endl;
[36]131      }
132      cout<<endl;
133    }
134
135    //Modifies the excess of the node and makes sufficient changes
[331]136    void modify_excess(const Node& a ,T v){
137      //T old_value=excess[a];
138      excess[a] += v;
[36]139    }
140 
141    //This private procedure is supposed to modify the preflow on edge j
142    //by value v (which can be positive or negative as well)
143    //and maintain the excess on the head and tail
144    //Here we do not check whether this is possible or not
[331]145    void modify_preflow(Edge j, const T& v){
[36]146
147      //Modifiyng the edge
[331]148      preflow[j] += v;
[36]149
150
151      //Modifiyng the head
152      modify_excess(G.head(j),v);
153       
154      //Modifiyng the tail
155      modify_excess(G.tail(j),-v);
156
157    }
158
159    //Gives the active node to work with
160    //(depending on the implementation to be used)
[331]161    Node get_active_node(){
[119]162     
[36]163
164      switch(implementation) {
165      case impl_highest_label : {
166
[331]167        //First need to find the highest label for which there's an active node
[36]168        while( highest_active>=0 && active_nodes[highest_active].empty() ){
169          --highest_active;
170        }
171
172        if( highest_active>=0) {
[119]173         
174
[331]175          Node a=active_nodes[highest_active].front();
[36]176          active_nodes[highest_active].pop_front();
[119]177         
[36]178          return a;
179        }
180        else {
[331]181          return INVALID;
[36]182        }
183       
184        break;
185       
186      }
187      case impl_fifo : {
188
189        if( ! fifo_nodes.empty() ) {
[331]190          Node a=fifo_nodes.front();
[36]191          fifo_nodes.pop_front();
192          return a;
193        }
194        else {
[331]195          return INVALID;
[36]196        }
197        break;
198      }
199      }
200      //
[331]201      return INVALID;
[36]202    }
203
204    //Puts node 'a' among the active nodes
[331]205    void make_active(const Node& a){
[36]206      //s and t never become active
207      if (a!=s && a!= t){
208        switch(implementation){
209        case impl_highest_label :
[331]210          active_nodes[level[a]].push_back(a);
[36]211          break;
212        case impl_fifo :
213          fifo_nodes.push_back(a);
214          break;
215        }
216
217      }
218
219      //Update highest_active label
[331]220      if (highest_active<level[a]){
221        highest_active=level[a];
[36]222      }
223
224    }
225
226    //Changes the level of node a and make sufficent changes
[331]227    void change_level_to(Node a, int new_value){
228      int seged = level[a];
[77]229      level.set(a,new_value);
[36]230      --num_of_nodes_on_level[seged];
231      ++num_of_nodes_on_level[new_value];
232    }
233
234    //Collection of things useful (or necessary) to do before running
[77]235
[36]236    void preprocess(){
237
238      //---------------------------------------
239      //Initialize parameters
240      //---------------------------------------
241
242      //Setting starting preflow, level and excess values to zero
243      //This can be important, if the algorithm is run more then once
[331]244      for(NodeIt i=G.template first<NodeIt>(); G.valid(i); G.next(i)) {
[77]245        level.set(i,0);
246        excess.set(i,0);
[331]247        for(OutEdgeIt j=G.template first<OutEdgeIt>(i); G.valid(j); G.next(j))
[77]248          preflow.set(j, 0);
[36]249      }
250      num_of_nodes_on_level[0]=number_of_nodes;
251      highest_active=0;
252      //---------------------------------------
253      //Initialize parameters
254      //---------------------------------------
255
256     
257      //------------------------------------
258      //This is the only part that uses BFS
259      //------------------------------------
[331]260
261      /*Reverse_bfs from t, to find the starting level.*/
262      //Copyright: Jacint
263      change_level_to(t,0);
264
265      std::queue<Node> bfs_queue;
266      bfs_queue.push(t);
267
268      while (!bfs_queue.empty()) {
269
270        Node v=bfs_queue.front();       
271        bfs_queue.pop();
272        int l=level[v]+1;
273
274        InEdgeIt e;
275        for(G.first(e,v); G.valid(e); G.next(e)) {
276          Node w=G.tail(e);
277          if ( level[w] == number_of_nodes && w != s ) {
278            bfs_queue.push(w);
279            //Node first=level_list[l];
280            //if ( G.valid(first) ) left.set(first,w);
281            //right.set(w,first);
282            //level_list[l]=w;
283            change_level_to(w, l);
284            //level.set(w, l);
285          }
286        }
287      }
288      change_level_to(s,number_of_nodes);
289      //level.set(s,number_of_nodes);
290
291      /*
[36]292      //Setting starting level values using reverse bfs
[331]293      reverse_bfs<Graph> rev_bfs(G,t);
[36]294      rev_bfs.run();
295      //write_property_vector(rev_bfs.dist,"rev_bfs");
[331]296      for(NodeIt i=G.template first<NodeIt>(); G.valid(i); G.next(i)) {
[36]297        change_level_to(i,rev_bfs.dist(i));
298        //level.put(i,rev_bfs.dist.get(i));
299      }
[331]300      */
[36]301      //------------------------------------
302      //This is the only part that uses BFS
303      //------------------------------------
304     
305     
306      //Starting level of s
307      change_level_to(s,number_of_nodes);
308      //level.put(s,number_of_nodes);
309     
310     
311      //we push as much preflow from s as possible to start with
[331]312      for(OutEdgeIt j=G.template first<OutEdgeIt>(s); G.valid(j); G.next(j)){
313        modify_preflow(j,capacity[j] );
[36]314        make_active(G.head(j));
[331]315        int lev=level[G.head(j)];
[36]316        if(highest_active<lev){
317          highest_active=lev;
318        }
319      }
320      //cout<<highest_active<<endl;
321    }
322
323   
324    //If the preflow is less than the capacity on the given edge
325    //then it is an edge in the residual graph
[331]326    bool is_admissible_forward_edge(Edge j, int& new_level){
[119]327
[331]328      if (capacity[j]>preflow[j]){
329        if(level[G.tail(j)]==level[G.head(j)]+1){
[36]330          return true;
331        }
332        else{
[331]333          if (level[G.head(j)] < new_level)
334            new_level=level[G.head(j)];
[36]335        }
336      }
337      return false;
338    }
339
340    //If the preflow is greater than 0 on the given edge
341    //then the edge reversd is an edge in the residual graph
[331]342    bool is_admissible_backward_edge(Edge j, int& new_level){
[119]343     
[331]344      if (0<preflow[j]){
345        if(level[G.tail(j)]==level[G.head(j)]-1){
[119]346         
[36]347          return true;
348        }
349        else{
[331]350          if (level[G.tail(j)] < new_level)
351            new_level=level[G.tail(j)];
[36]352        }
353       
354      }
355      return false;
356    }
357
358 
359  };  //class preflow_push 
360
[331]361  template<typename Graph, typename T>
362    T preflow_push<Graph, T>::run() {
363   
364    //We need a residual graph
365    ResGraphType res_graph(G, preflow, capacity);
[36]366   
367    preprocess();
[119]368    //write_property_vector(level,"level");
[36]369    T e,v;
[331]370    Node a;
371    while (a=get_active_node(), G.valid(a)){
[119]372     
[331]373      bool go_to_next_node=false;
374      e = excess[a];
375      while (!go_to_next_node){
[36]376
[77]377        //Initial value for the new level for the active node we are dealing with
378        int new_level=2*number_of_nodes;
[331]379
380
[36]381        //Out edges from node a
382        {
[77]383          OutEdgeIt j=G.template first<OutEdgeIt>(a);
[331]384          while (G.valid(j) && e){
[36]385
386            if (is_admissible_forward_edge(j,new_level)){
[331]387              v=min(e,capacity[j] - preflow[j]);
[36]388              e -= v;
389              //New node might become active
[331]390              if (excess[G.head(j)]==0){
[36]391                make_active(G.head(j));
392              }
393              modify_preflow(j,v);
394            }
[331]395            G.next(j);
[36]396          }
397        }
398        //In edges to node a
399        {
[77]400          InEdgeIt j=G.template first<InEdgeIt>(a);
[331]401          while (G.valid(j) && e){
[36]402            if (is_admissible_backward_edge(j,new_level)){
[331]403              v=min(e,preflow[j]);
[36]404              e -= v;
405              //New node might become active
[331]406              if (excess[G.tail(j)]==0){
[36]407                make_active(G.tail(j));
408              }
409              modify_preflow(j,-v);
410            }
[331]411            G.next(j);
[36]412          }
413        }
414
[119]415        //if (G.id(a)==999)
416        //cout<<new_level<<" e: "<<e<<endl;
[36]417        //cout<<G.id(a)<<" "<<new_level<<endl;
418
419        if (0==e){
420          //Saturating push
421          go_to_next_node=true;
422        }
423        else{//If there is still excess in node a
[77]424         
425          //change_level_to(a,new_level+1);
426         
[36]427          //Level remains empty
[331]428          if (num_of_nodes_on_level[level[a]]==1){
[36]429            change_level_to(a,number_of_nodes);
430            //go_to_next_node=True;
431          }
432          else{
433            change_level_to(a,new_level+1);
434            //increase_level(a);
435          }
[77]436         
[36]437   
438         
439
440          switch(node_examination){
441          case examine_to_relabel:
442            make_active(a);
443
444            go_to_next_node = true;
445            break;
446          default:
447            break;
448          }
449         
450   
451       
452        }//if (0==e)
453      }
454    }
[331]455    maxflow_value = excess[t];
[36]456    return maxflow_value;
457  }//run
458
459
[105]460}//namespace hugo
[36]461
462#endif //PREFLOW_PUSH_HH
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