What is the space complexity of Depth-First Search (DFS) using recursion?

Practice Questions

Q1
What is the space complexity of Depth-First Search (DFS) using recursion?
  1. O(V)
  2. O(E)
  3. O(V + E)
  4. O(1)

Questions & Step-by-Step Solutions

What is the space complexity of Depth-First Search (DFS) using recursion?
  • Step 1: Understand what Depth-First Search (DFS) is. It is an algorithm used to explore nodes and edges of a graph.
  • Step 2: Recognize that DFS can be implemented using recursion, which means it calls itself to explore deeper into the graph.
  • Step 3: Identify that each time a function is called in recursion, it uses some space in memory, which is stored in a structure called the call stack.
  • Step 4: Realize that in the worst case, the depth of the recursion can go as deep as the number of vertices (V) in the graph, especially in a linear structure like a linked list.
  • Step 5: Conclude that the maximum space used by the call stack during the DFS process is proportional to the number of vertices, which gives us a space complexity of O(V).
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