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What is a key characteristic of DFS when applied to a graph?
Practice Questions
Q1
What is a key characteristic of DFS when applied to a graph?
It can be implemented using recursion
It always finds the shortest path
It uses a queue for traversal
It visits all nodes in a breadth-first manner
Questions & Step-by-Step Solutions
What is a key characteristic of DFS when applied to a graph?
Steps
Concepts
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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