Shortest Path in a Graph: Difference between revisions

From NovaOrdis Knowledge Base
Jump to navigation Jump to search
No edit summary
Line 4: Line 4:
* [[Graphs#Subjects|Graphs]]
* [[Graphs#Subjects|Graphs]]
* [[Graph_Search#Breadth-First_Search_.28BFS.29|Graph Search | Breadth-First Search]]
* [[Graph_Search#Breadth-First_Search_.28BFS.29|Graph Search | Breadth-First Search]]
=TODO=
<font color=darkgray>Reshape this page to accommodate Dijkstra's algorithm.</font>
=Overview=
=Overview=



Revision as of 23:08, 5 October 2021

External

Internal

TODO

Reshape this page to accommodate Dijkstra's algorithm.

Overview

The BFS algorithm as described above can be used, with a very small constant-time addition, to keep track of the layer each newly discovered node is in, relative to the start node, and that will automatically indicate the shortest path between the start node s and a reachable node v. It works by annotating the start vertex with 0 and then annotating each new node with D + 1, where D is the distance of the node we discovered the new node from.

⚠️ Only breadth-first search gives the guarantee of the shortest path.

Algorithm

The algorithm is (differences to the canonical BFS algorithm are emphasized):

BFS_with_Shortest_Path(graph G, start vertex s)
  # All nodes are assumed unexplored
  initialize a Queue Q (FIFO)
  mark s as explored
  annotate s with distance 0
  place s in Q
  while Q has elements
    remove the head of the queue v
    for each edge (v, w):
      if w unexplored:
        mark w as explored
        annotate w with a distance dist(w) = dist(v) + 1
        add w to Q

The distance computed on reachable node gives the "layer" and the distance from the start node s.

BFS Layers.png


[Next]