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Depth First Search (DFS) is a graph traversal algorithm that explores as far as possible along each branch before backtracking. It is commonly used for searching or traversing tree and graph data structures. DFS can be implemented either recursively or iteratively using a stack.
Example of DFS in Python
Here is a Python implementation of DFS using recursion:
# Recursive DFS implementationdef dfs(graph, node, visited=None):if visited is None:visited = set() # Initialize the visited setvisited.add(node) # Mark the current node as visitedprint(node, end=" ") # Process the node (e.g., print it)for neighbor in graph[node]: # Explore all neighborsif neighbor not in visited:dfs(graph, neighbor, visited)# Example graph represented as an adjacency listgraph = {'A': ['B', 'C'],'B': ['D', 'E'],'C': ['F'],'D': [],'E': ['F'],'F': []}# Perform DFS starting from node 'A'dfs(graph, 'A')Gekopieerd.✕KopiërenOutput:
A B D E F CGekopieerd.✕KopiërenThis output represents the order in which nodes are visited during the DFS traversal.
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