The “depth first search” method takes less memory.
The search method that typically takes less memory is Depth-First Search (DFS).
Depth-First Search explores a branch of the search tree as deeply as possible before backtracking. It uses relatively little memory compared to other search methods like Breadth-First Search (BFS) or Uniform Cost Search (UCS), which require storing large amounts of information about all explored nodes.
In DFS, only the path from the root to the current node needs to be stored in memory, making it memory-efficient for large search spaces with deep trees or graphs. However, it’s important to note that DFS may not always be the best choice in terms of finding the optimal solution or avoiding infinite loops if the search space is infinite or if there are cycles in the graph.