Dr Antonio Gulli's A collection of Tree Programming Interview Questions Solved PDF

By Dr Antonio Gulli

ISBN-10: 1499749007

ISBN-13: 9781499749007

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Top()->right; else root = NULL; } // else } // while } Complexity Time complexity is and space complexity is 5 Implementing a level order visit for a Binary Tree Solution Level order visits can be implemented for all nodes at one level before going to the next level. The idea is very simple. push(tmp->right); } } Complexity Time complexity is and space complexity is . 6 Counting the number of leaves in a tree Solution A solution can be provided by modifying the level order visit where we increment a counter every time we reach a leaf node.

Root) return NULL; else if (key < root->v__) root->left = deleteNode(root->left, key); else if (key > root->v__) root->right = deleteNode(root->right, key); else { // internal node if (root->left && root->right) { tmp = findMax(root->left); root->v__ = tmp->v__; root->left = deleteNode(root->left, root->v__); } else { tmp = root; if (root->left == NULL) root = root->right; if (root->right == NULL) root = root->left; delete tmp; } } return root; } Complexity Average time complexity is) , where is the number of nodes in the tree.

10 Find the maximum path sum between two leaves of a binary tree Solution The maximum path sum between two leaves can either touch the root of the three or can be located on a subtree only if it belongs to the tree itself. Hence we have the following cases of recursion: The base case is when the root is NULL and we return 0 Then we compute recursively the maximum path sum for the left and right subtree respectively Then we compute the maximum for the left subtree, for the right subtree, and for the subtree rooted at the current node.

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A collection of Tree Programming Interview Questions Solved in C++ by Dr Antonio Gulli

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