摘要:做了几道二分法的题目练手,发现这道题已经淡忘了,记录一下。这道题目的要点在于找的区间。边界条件需要注意若或数组为空,返回空当前进到超出末位,或超过,返回空每次创建完根节点之后,要将加,才能进行递归。
Construct Binary Tree from Inorder and Preorder Traversal Problem
Given preorder and inorder traversal of a tree, construct the binary tree.
NoticeYou may assume that duplicates do not exist in the tree.
ExampleGiven in-order [1,2,3] and pre-order [2,1,3], return a tree:
2 / 1 3Note
许久未更。做了几道二分法的题目练手,发现这道题已经淡忘了,记录一下。
这道题目的要点在于找inorder的区间。preStart每增加一次,就对应一个新的子树。每个子树的根节点都可以在inorder的中间某处找到,以此为界,左边是这个根节点的左子树,右边是右子树。不断递归,得解。
边界条件需要注意:
若preorder或inorder数组为空,返回空;
当preStart前进到超出preorder末位,或inStart超过inEnd,返回空;
每次创建完根节点之后,要将preStart加1,才能进行递归。
Solutionpublic class Solution { int preStart = 0; public TreeNode buildTree(int[] preorder, int[] inorder) { if (preorder.length == 0 || inorder.length == 0) return null; return helper(preorder, inorder, 0, preorder.length-1); } public TreeNode helper(int[] preorder, int[] inorder, int inStart, int inEnd) { if (preStart >= preorder.length || inStart > inEnd) return null; int index = 0; for (int i = inStart; i <= inEnd; i++) { if (inorder[i] == preorder[preStart]) { index = i; break; } } TreeNode root = new TreeNode(preorder[preStart++]); root.left = helper(preorder, inorder, inStart, index-1); root.right = helper(preorder, inorder, index+1, inEnd); return root; } }Construct Binary Tree from Inorder and Postorder Traversal Problem
Given inorder and postorder traversal of a tree, construct the binary tree.
NoticeYou may assume that duplicates do not exist in the tree.
ExampleGiven inorder [1,2,3] and postorder [1,3,2], return a tree:
2 / 1 3Note
和先序+中序方法一样,不过这次是逆推,递归的时候先右子树,后左子树即可。
Solution Recursionpublic class Solution { int postEnd; public TreeNode buildTree(int[] inorder, int[] postorder) { postEnd = postorder.length - 1; return helper(postorder, inorder, 0, inorder.length - 1); } private TreeNode helper(int[] postorder, int[] inorder, int inStart, int inEnd) { if (postEnd < 0 || inStart > inEnd) return null; TreeNode root = new TreeNode(postorder[postEnd--]); int inMid = 0; for (int i = inStart; i <= inEnd; i++) { if (inorder[i] == root.val) { inMid = i; break; } } root.right = helper(postorder, inorder, inMid +1, inEnd); root.left = helper(postorder, inorder, inStart, inMid-1); return root; } }Using Stack
public class Solution { public TreeNode buildTree(int[] inorder, int[] postorder) { if (inorder == null || inorder.length < 1) return null; int i = inorder.length - 1; int p = i; TreeNode node; TreeNode root = new TreeNode(postorder[postorder.length - 1]); Stackstack = new Stack<>(); stack.push(root); p--; while (true) { if (inorder[i] == stack.peek().val) { // inorder[i] is on top of stack, pop stack to get its parent to get to left side if (--i < 0) break; node = stack.pop(); if (!stack.isEmpty() && inorder[i] == stack.peek().val) continue; node.left = new TreeNode(postorder[p]); stack.push(node.left); } else { // inorder[i] is not on top of stack, postorder[p] must be right child node = new TreeNode(postorder[p]); stack.peek().right = node; stack.push(node); } p--; } return root; } }
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