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* search tree](https://www.youtube.com/watch?v=5cPbNCrdotA&t=904s) Inorder
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* successor of a node is the next node in Inorder traversal of the Binary Tree.
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* Inorder Successor is NULL for the last node in Inorder traversal.
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*
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* @details
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* ### Case 1: The given node has the right node/subtree
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*
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* In this case the left most deepest node in the right subtree will come
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* just after the given node as we go to left deep in inorder.
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* In this case the left most deepest node in the right subtree will come just
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* after the given node as we go to left deep in inorder.
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* - Go deep to left most node in right subtree.
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* OR, we can also say in case if BST, find the minimum of the subtree
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* for a given node.
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* OR, we can also say in case if BST, find the minimum of the subtree for a given node.
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*
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* ### Case 2: The given node does not have a right node/subtree
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*
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* #### Method 1: Use parent pointer (store the address of parent nodes)
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* * If a node does not have right subtree, and we already visited the node
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* itself, then the next node will be its parent node according to inorder
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* traversal, and if we are going to parent from left, then the parent would be
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* unvisited. In other words, go to the nearest ancestor for which given node
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* would be in left subtree.
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* * If a node does not have the right subtree, and we already visited the node itself,
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* then the next node will be its parent node according to inorder traversal,
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* and if we are going to parent from left, then the parent would be unvisited.
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* * In other words, go to the nearest ancestor for which given node would be in left subtree.
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*
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* #### Method 2: Search from the root node
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* * In case if there is no link to the parent, we need to walk the tree
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* starting from the root node to the given node, by doing so, we are visiting
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* every ancestor of the given node. In order successor would be the deepest
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* node in this path for which given node is in left subtree.
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* * In case if there is no link from a child node to the parent node, we need to walk down the tree starting
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* from the root node to the given node, by doing so, we are visiting every ancestor of the given node.
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* * In order successor would be the deepest node in this path for which given node is in left subtree.
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*
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* @author [Nitin Sharma](https://github.com/foo290)
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* */
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#include <cassert> /// For assert
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#include <iostream> /// For IO Operations
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#include <vector> /// For std::vector
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#include <cassert> /// for assert
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#include <iostream> /// for IO Operations
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#include <vector> /// for std::vector
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/**
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* @namespace operations_on_datastructures
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@ -99,12 +96,14 @@ Node *getNode(Node *root, int64_t data) {
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if (root == nullptr) {
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return nullptr;
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} else if (root->data == data) {
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return root;
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return root; /// Node found!
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} else if (data > root->data) {
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/// recursive call
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/// Traverse right subtree recursively as the given data is greater than the data in root node,
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/// data must be present in right subtree.
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return getNode(root->right, data);
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} else {
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/// recursive call
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/// Traverse left subtree recursively as the given data is less than the data in root node,
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/// data must be present in left subtree.
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return getNode(root->left, data);
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}
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}
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@ -156,11 +155,13 @@ Node *makeBST(Node *root, const std::vector<int64_t> &data) {
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}
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/**
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* @brief Search from the root node as we need to walk the tree starting from
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* @brief Inorder successor of a node is the next node in inorder traversal of the Binary Tree.
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* This function takes the root node and the data of the node for which we have to find the inorder successor, and
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* returns the inorder successor node.
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* @details Search from the root node as we need to walk the tree starting from
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* the root node to the given node, by doing so, we are visiting every ancestor
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* of the given node. In order successor would be the deepest node in this path
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* for which given node is in left subtree. Time complexity O(h)
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*
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* @param root A pointer to the root node of the BST
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* @param data The data (or the data of node) for which we have to find inorder
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* successor.
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