Given the root of a binary search tree with distinct values, modify it so that every node has a new value equal to the sum of the values of the original tree that are greater than or equal to node.val.
As a reminder, a binary search tree is a tree that satisfies these constraints:
The left subtree of a node contains only nodes with keys less than the node's key.
The right subtree of a node contains only nodes with keys greater than the node's key.
Both the left and right subtrees must also be binary search trees.
Example 1:
Input: [4,1,6,0,2,5,7,null,null,null,3,null,null,null,8]
Output: [30,36,21,36,35,26,15,null,null,null,33,null,null,null,8]
Constraints:
The number of nodes in the tree is between 1 and 100.
Each node will have value between 0 and 100.
The given tree is a binary search tree.
代码
Approach 1: Revered inorder Traversal
/** * Definition for a binary tree node. * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode(int x) { val = x; } * } */classSolution {int pre =0;publicTreeNodebstToGst(TreeNode root) {if (root.right!=null) bstToGst(root.right);root.val= pre +root.val; pre =root.val;if (root.left!=null) bstToGst(root.left);return root; }}
Approach #2 Iterative
Time & space: O(n).
classSolution {publicTreeNodebstToGst(TreeNode root) {Deque<TreeNode> stk =newArrayDeque<>();TreeNode cur = root;int sum =0;while (cur !=null||!stk.isEmpty()) {while (cur !=null) {stk.push(cur); cur =cur.right; } cur =stk.pop(); sum +=cur.val;cur.val= sum; cur =cur.left; }return root; }}