Algorithms Analysis Practice Test

Image Description

Question: 1 / 400

How does iterative deepening search combine advantages of depth-first and breadth-first search?

By using a queue to traverse the graph

By limiting the depth of search at each iteration

Iterative deepening search effectively combines the strengths of depth-first and breadth-first search by employing a depth limit that increases with each iteration. This method allows the algorithm to explore nodes to a specific depth in a depth-first fashion before increasing that limit and starting over.

The primary advantage of this approach is that it retains the memory efficiency of depth-first search, which only requires storing the current path and a small number of additional nodes, while also ensuring that all nodes at a shallower depth are examined before deeper levels are considered—similar to breadth-first search. This systematic depth limitation enables the algorithm to find the shallowest solution without exhausting memory resources, a common issue in breadth-first search.

Safer memory usage and the ability to find solutions at the shallowest level make iterative deepening search a valuable strategy, particularly in environments where the depth of the solution is not known in advance.

Get further explanation with Examzify DeepDiveBeta

By exploring all nodes at the current depth completely before going deeper

By starting from the goal node and moving backwards

Next Question

Report this question

Download Algorithms Analysis Practice Test PDF Study Guide
Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy