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Implement an iterator over a binary search tree (BST). Your iterator will be initialized with the root node of a BST.
Calling next() will return the next smallest number in the BST.
Note: next() and hasNext() should run in average O(1) time and uses O(h) memory, where h is the height of the tree.
設計一個二叉搜尋樹的迭代器。要求其中的next()與hasNext()是平均O(1)的時間複雜度,O(h)的空間複雜度,h是樹高。
1、用棧來實現,棧中儲存的是當前路徑的左孩子。
/** * Definition for binary tree * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode(int x) { val = x; } * } */public class BSTIterator { Stack<TreeNode> stack; public BSTIterator(TreeNode root) { stack = new Stack(); if (root == null){ return ; } while (root != null){ stack.push(root); root = root.left; } } /** @return whether we have a next smallest number */ public boolean hasNext() { return !stack.isEmpty(); } /** @return the next smallest number */ public int next() { TreeNode node = stack.pop(); int ans = node.val; if (node.right != null){ node = node.right; while (node != null){ stack.push(node); node = node.left; } } return ans; } }/** * Your BSTIterator will be called like this: * BSTIterator i = new BSTIterator(root); * while (i.hasNext()) v[f()] = i.next(); */
2、用list實現。直接排序然後儲存在list中,代碼簡單高效。(參考discuss)。
這種方法雖然比上面的方法快並且簡單,但是使用的空間是O(N)的空間,比上一個多,如果上一個題意中說明該設計類只能用O(h)的空間,那麼這種解法就不對了。
ArrayDeque<Integer> list;public BSTIterator(TreeNode root) { list = new ArrayDeque<Integer>(); inorderTraverse(root);}void inorderTraverse(TreeNode root){ if(root == null) return; inorderTraverse(root.left); list.addLast(root.val); inorderTraverse(root.right);}/** @return whether we have a next smallest number */public boolean hasNext() { if(list.isEmpty()) return false; else return true;}/** @return the next smallest number */public int next() { return list.removeFirst();}
? leetcode 173. Binary Search Tree Iterator 設計迭代器(搜尋樹)--------- java