What is a key characteristic of DFS when applied to a graph?

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Question: What is a key characteristic of DFS when applied to a graph?

Options:

Correct Answer: It can be implemented using recursion

Solution:

DFS can be implemented using recursion, which allows it to explore as far down a branch as possible before backtracking.

What is a key characteristic of DFS when applied to a graph?

What is a key characteristic of DFS when applied to a graph?

Step 1: Understand that DFS stands for Depth-First Search, which is a way to explore a graph.
Step 2: Recognize that DFS starts at a chosen node (or vertex) in the graph.
Step 3: Note that DFS goes as deep as possible down one path before it has to backtrack.
Step 4: Learn that this deep exploration is often done using a method called recursion, where the function calls itself.
Step 5: Realize that backtracking means returning to the previous node to explore other paths once a dead end is reached.

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