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c++algorithmbinary-treebreadth-first-searchtree-traversal

Level Order Traversal of a Binary Tree


void traverse(Node* root)
{
    queue<Node*> q;

    Node* temp_node= root;

    while(temp_node)
    {
        cout<<temp_node->value<<endl;

        if(temp_node->left)
            q.push(temp_node->left);

        if(temp_node->right)
            q.push(temp_node->right);

        if(!q.empty())
        {
            temp_node = q.front();
            q.pop();
        }
        else
            temp_node = NULL;
   }
 }

The above posted code is my level order traversal code. This code works fine for me but One thing I dont like is I am explicitly initializing temp_node = NULL or I use break. But it does not seem to be a good code to me.

Is there a neat implementation than this or how can I make this code better?


Solution

  • void traverse(Node* root)
    {
        queue<Node*> q;
    
        if (root) {
            q.push(root);
        }
        while (!q.empty())
        {
            const Node * const temp_node = q.front();
            q.pop();
            cout<<temp_node->value<<"\n";
    
            if (temp_node->left) {
                q.push(temp_node->left);
            }
            if (temp_node->right) {
                q.push(temp_node->right);
            }
        }
    }
    

    There, no more special case. And the indentation is cleaned up so it can be understood more easily.

    Alternatively:

    void traverse(Node* root)
    {
        queue<Node*> q;
    
        if (!root) {
            return;
        }
        for (q.push(root); !q.empty(); q.pop()) {
            const Node * const temp_node = q.front();
            cout<<temp_node->value<<"\n";
    
            if (temp_node->left) {
                q.push(temp_node->left);
            }
            if (temp_node->right) {
                q.push(temp_node->right);
            }
        }
    }
    

    Done up as a for loop. Personally, I like the extra variable. The variable name is a nicer shorthand than saying 'q.front()` all the time.