Create Boruvka-s-Algorithm.py

Algorithms/Boruvka-s-Algorithm.py

@@ -0,0 +1,103 @@
+class Graph:
+    def __init__(self, vertices):
+        self.Destination = vertices
+        self.edges = []
+        self.component = {}
+    def add_edge(self, Source, Destination, weight):
+        self.edges.append([Source, Destination, weight])
+    def find_component(self, Source):
+        if self.component[Source] == Source:
+            return Source
+        return self.find_component(self.component[Source])
+
+    def set_component(self, Source):
+        if self.component[Source] == Source:
+            return
+        else:
+            for k in self.component.keys():
+                self.component[k] = self.find_component(k)
+
+    def union(self, component_size, Source, Destination):
+        if component_size[Source] <= component_size[Destination]:
+            self.component[Source] = Destination
+            component_size[Destination] += component_size[Source]
+            self.set_component(Source)
+
+        elif component_size[Source] >= component_size[Destination]:
+            self.component[Destination] = self.find_component(Source)
+            component_size[Source] += component_size[Destination]
+            self.set_component(Destination)
+
+        print(self.component)
+
+    def boruvka(self):
+        component_size = []
+        mst_weight = 0
+
+        minimum_weight_edge = [-1] * self.Destination
+
+        for node in range(self.Destination):
+            self.component.update({node: node})
+            component_size.append(1)
+
+        num_of_components = self.Destination
+
+        print("---------Forming MST------------")
+        while num_of_components > 1:
+            for i in range(len(self.edges)):
+
+                Source = self.edges[i][0]
+                Destination = self.edges[i][1]
+                w = self.edges[i][2]
+
+                Source_component = self.component[Source]
+                Destination_component = self.component[Destination]
+
+                if Source_component != Destination_component:
+                    if minimum_weight_edge[Source_component] == -1 or \
+                            minimum_weight_edge[Source_component][2] > w:
+                        minimum_weight_edge[Source_component] = [Source, Destination, w]
+                    if minimum_weight_edge[Destination_component] == -1 or \
+                            minimum_weight_edge[Destination_component][2] > w:
+                        minimum_weight_edge[Destination_component] = [Source, Destination, w]
+
+            for node in range(self.Destination):
+                if minimum_weight_edge[node] != -1:
+                    Source = minimum_weight_edge[node][0]
+                    Destination = minimum_weight_edge[node][1]
+                    w = minimum_weight_edge[node][2]
+
+                    Source_component = self.component[Source]
+                    Destination_component = self.component[Destination]
+
+                    if Source_component != Destination_component:
+                        mst_weight += w
+                        self.union(component_size, Source_component, Destination_component)
+                        print("edge_Added [" + str(Source) + " - "
+                              + str(Destination) + "]\n"
+                              + "weight_Added: " + str(w) + "\n")
+                        num_of_components -= 1
+
+            minimum_weight_edge = [-1] * self.Destination
+        print("-------------MAXMULLER---------------------")
+        print("The minimum spanning tree is overall weighed is: " + str(mst_weight))
+
+g = Graph(9)
+g.add_edge(0, 1, 4)
+g.add_edge(0, 6, 7)
+g.add_edge(1, 6, 11)
+g.add_edge(1, 7, 20)
+g.add_edge(1, 2, 9)
+g.add_edge(2, 3, 6)
+g.add_edge(2, 4, 2)
+g.add_edge(3, 4, 10)
+g.add_edge(3, 5, 5)
+g.add_edge(4, 5, 15)
+g.add_edge(4, 7, 1)
+g.add_edge(4, 8, 5)
+g.add_edge(5, 8, 12)
+g.add_edge(6, 7, 1)
+g.add_edge(7, 8, 3)
+g.boruvka()
+
+#by: Max Muller

README.md

@@ -336,3 +336,4 @@ All *Contributions* of the *Contributors* can be found in the [__Contributions__
       </td>
   </tr>
 </table>
+