Changeset 1578:1d3a1bcbc874 in lemon-0.x for demo/kruskal_demo.cc

Timestamp:

07/21/05 00:36:37 (18 years ago)

Author:

zsuzska

Branch:

default

Phase:

public

Convert:

svn:c9d7d8f5-90d6-0310-b91f-818b3a526b0e/lemon/trunk@2079

Message:

kruskal_demo corrected, quicktour filled with kruskal

File:

• demo/kruskal_demo.cc (modified) (2 diffs)

demo/kruskal_demo.cc

@@ +1 @@
+/* -*- C++ -*-
+ * demo/kruskal_demo.cc - Part of LEMON, a generic C++ optimization library
+ *
+ * Copyright (C) 2005 Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
+ * (Egervary Research Group on Combinatorial Optimization, EGRES).
+ *
+ * Permission to use, modify and distribute this software is granted
+ * provided that this copyright notice appears in all copies. For
+ * precise terms see the accompanying LICENSE file.
+ *
+ * This software is provided "AS IS" with no warranty of any kind,
+ * express or implied, and with no claim as to its suitability for any
+ * purpose.
+ *
+ */
+
+///\ingroup demos
+///\file
+///\brief Minimum weight spanning tree by Kruskal algorithm (demo).
+///
+///This demo program shows how to find a minimum weight spannin tree
+///of a graph by using the Kruskal algorithm. 
+
 #include <iostream>
 #include <vector>
@@ -18 +41 @@
   typedef ListGraph::EdgeIt EdgeIt;
 
-  ListGraph G;
+  ListGraph g;
+  //Make an example graph g.
+  Node s=g.addNode();
+  Node v1=g.addNode();
+  Node v2=g.addNode();
+  Node v3=g.addNode();
+  Node v4=g.addNode();
+  Node t=g.addNode();
+  
+  Edge e1 = g.addEdge(s, v1);
+  Edge e2 = g.addEdge(s, v2);
+  Edge e3 = g.addEdge(v1, v2);
+  Edge e4 = g.addEdge(v2, v1);
+  Edge e5 = g.addEdge(v1, v3);
+  Edge e6 = g.addEdge(v3, v2);
+  Edge e7 = g.addEdge(v2, v4);
+  Edge e8 = g.addEdge(v4, v3);
+  Edge e9 = g.addEdge(v3, t);
+  Edge e10 = g.addEdge(v4, t);
 
-  Node s=G.addNode();
-  Node v1=G.addNode();
-  Node v2=G.addNode();
-  Node v3=G.addNode();
-  Node v4=G.addNode();
-  Node t=G.addNode();
-  
-  Edge e1 = G.addEdge(s, v1);
-  Edge e2 = G.addEdge(s, v2);
-  Edge e3 = G.addEdge(v1, v2);
-  Edge e4 = G.addEdge(v2, v1);
-  Edge e5 = G.addEdge(v1, v3);
-  Edge e6 = G.addEdge(v3, v2);
-  Edge e7 = G.addEdge(v2, v4);
-  Edge e8 = G.addEdge(v4, v3);
-  Edge e9 = G.addEdge(v3, t);
-  Edge e10 = G.addEdge(v4, t);
-
+  //Make the input and output for the kruskal.
   typedef ListGraph::EdgeMap<int> ECostMap;
   typedef ListGraph::EdgeMap<bool> EBoolMap;
 
-  ECostMap edge_cost_map(G, 2);
-  EBoolMap tree_map(G);
-  
+  ECostMap edge_cost_map(g, 2);
+  EBoolMap tree_map(g);
 
-  //Test with const map.
-  std::cout << "The weight of the minimum spanning tree is " << kruskalEdgeMap(G, ConstMap<ListGraph::Edge,int>(2), tree_map)<<std::endl;
+  // Kruskal.
+  std::cout << "The weight of the minimum spanning tree by using Kruskal algorithm is " 
+            << kruskal(g, ConstMap<ListGraph::Edge,int>(2), tree_map)<<std::endl;
 
-/*
-  ==10,
-        "Total cost should be 10");
-  //Test with a edge map (filled with uniform costs).
-  check(kruskalEdgeMap(G, edge_cost_map, tree_map)==10,
-        "Total cost should be 10");
-
-  edge_cost_map.set(e1, -10);
-  edge_cost_map.set(e2, -9);
-  edge_cost_map.set(e3, -8);
-  edge_cost_map.set(e4, -7);
-  edge_cost_map.set(e5, -6);
-  edge_cost_map.set(e6, -5);
-  edge_cost_map.set(e7, -4);
-  edge_cost_map.set(e8, -3);
-  edge_cost_map.set(e9, -2);
-  edge_cost_map.set(e10, -1);
+  //Make another input (non-uniform costs) for the kruskal.
+  ECostMap edge_cost_map_2(g);
+  edge_cost_map_2.set(e1, -10);
+  edge_cost_map_2.set(e2, -9);
+  edge_cost_map_2.set(e3, -8);
+  edge_cost_map_2.set(e4, -7);
+  edge_cost_map_2.set(e5, -6);
+  edge_cost_map_2.set(e6, -5);
+  edge_cost_map_2.set(e7, -4);
+  edge_cost_map_2.set(e8, -3);
+  edge_cost_map_2.set(e9, -2);
+  edge_cost_map_2.set(e10, -1);
 
   vector<Edge> tree_edge_vec;
 
-  //Test with a edge map and inserter.
-  check(kruskalEdgeMap_IteratorOut(G, edge_cost_map,
-                                   back_inserter(tree_edge_vec))
-        ==-31,
-        "Total cost should be -31.");
+  //Test with non uniform costs and inserter.
+  std::cout << "The weight of the minimum spanning tree with non-uniform costs is " << 
+    kruskal(g, edge_cost_map_2, std::back_inserter(tree_edge_vec)) <<std::endl;
 
+  //The vector for the edges of the output tree.
   tree_edge_vec.clear();
 
-  //The above test could also be coded like this:
-  check(kruskal(G,
-                makeKruskalMapInput(G, edge_cost_map),
-                makeKruskalSequenceOutput(back_inserter(tree_edge_vec)))
-        ==-31,
-        "Total cost should be -31.");
+  //Test with makeKruskalSequenceOutput and makeKruskalSequenceOutput.
 
-  check(tree_edge_vec.size()==5,"The tree should have 5 edges.");
+  std::cout << "The weight of the minimum spanning tree again is " << 
+   kruskal(g,makeKruskalMapInput(g,edge_cost_map_2),makeKruskalSequenceOutput(std::back_inserter(tree_edge_vec)))<< std::endl;
 
-  check(tree_edge_vec[0]==e1 &&
-        tree_edge_vec[1]==e2 &&
-        tree_edge_vec[2]==e5 &&
-        tree_edge_vec[3]==e7 &&
-        tree_edge_vec[4]==e9,
-        "Wrong tree.");
-*/
+
   return 0;
 }