What is the time complexity of a depth-first search (DFS) on a graph with V vert

Practice Questions

Q1
What is the time complexity of a depth-first search (DFS) on a graph with V vertices and E edges?
  1. O(V + E)
  2. O(V)
  3. O(E)
  4. O(V^2)

Questions & Step-by-Step Solutions

What is the time complexity of a depth-first search (DFS) on a graph with V vertices and E edges?
  • Step 1: Understand that a graph consists of vertices (V) and edges (E). Vertices are the points, and edges are the connections between them.
  • Step 2: Recognize that during a depth-first search (DFS), we explore each vertex and each edge in the graph.
  • Step 3: Note that when we visit a vertex, we may also traverse its edges to reach other vertices.
  • Step 4: Since we visit each vertex once, this contributes O(V) to the time complexity.
  • Step 5: Similarly, since we traverse each edge once, this contributes O(E) to the time complexity.
  • Step 6: Combine the contributions from vertices and edges to get the total time complexity: O(V) + O(E).
  • Step 7: Conclude that the overall time complexity of DFS is O(V + E).
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely