Depth First Search?

Depth First Search?

 

Depth first search (DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node (selecting some arbitrary node as the root node in the case of a graph) and explores as far as possible along each branch before backtracking.

How Does Depth First Search Work?

The DFS algorithm can be implemented recursively or iteratively. The recursive implementation is as follows:

Code snippet
def dfs(node):
    if node is None:
        return

    # Explore the node
    print(node)

    # Explore the children of the node
    for child in node.children:
        dfs(child)

The iterative implementation is as follows:

Code snippet
def dfs(node):
    stack = [node]

    while stack:
        node = stack.pop()

        # Explore the node
        print(node)

        # Explore the children of the node
        for child in node.children:
            stack.append(child)

High CPC Keywords for Depth First Search

Some high CPC keywords for depth first search include:

  • depth first search algorithm
  • depth first search python
  • depth first search traversal
  • depth first search graph
  • depth first search time complexity
  • depth first search implementation
  • depth first search example
  • depth first search vs breadth first search


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