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| 1 | +package datastructure.tree; |
| 2 | + |
| 3 | +import common.TreeNode; |
| 4 | + |
| 5 | +import java.util.ArrayList; |
| 6 | +import java.util.List; |
| 7 | + |
| 8 | +public class BinaryTree { |
| 9 | + //递归算法-前序遍历(中序、后序稍作改动) |
| 10 | + private List<Integer> list=new ArrayList<>(); |
| 11 | + public List<Integer> preorderTraversal(TreeNode root) { |
| 12 | + if(root!=null){ |
| 13 | + list.add(root.val); |
| 14 | + preorderTraversal(root.left); |
| 15 | + preorderTraversal(root.right); |
| 16 | + } |
| 17 | + return list; |
| 18 | + } |
| 19 | + //递归算法-树的最大深度 |
| 20 | + public int maxDepth(TreeNode root){ |
| 21 | + if(root==null){ |
| 22 | + return 0; |
| 23 | + } |
| 24 | + int left=maxDepth(root.left); |
| 25 | + int right=maxDepth(root.right); |
| 26 | + return 1+Math.max(left,right); |
| 27 | + } |
| 28 | + //递归算法-检查二叉树否是对称。 |
| 29 | + public boolean isSymmetric(TreeNode root) { |
| 30 | + return isMirror(root,root); |
| 31 | + } |
| 32 | + public boolean isMirror(TreeNode node1,TreeNode node2){ |
| 33 | + if(node1==null&&node2==null){ |
| 34 | + return true; |
| 35 | + } |
| 36 | + if(node1==null||node2==null){ |
| 37 | + return false; |
| 38 | + } |
| 39 | + return (node1.val==node2.val)&&isMirror(node1.left,node2.right)&&isMirror(node1.right,node2.left); |
| 40 | + } |
| 41 | + //给定一个二叉树和一个目标和,判断该树中是否存在根节点到叶子节点的路径,这条路径上所有节点值相加等于目标和。 |
| 42 | + public boolean hasPathSum(TreeNode root, int sum) { |
| 43 | + if(root == null){ |
| 44 | + return false; |
| 45 | + } |
| 46 | + if(root.left == null && root.right == null){ |
| 47 | + return sum - root.val == 0; |
| 48 | + } |
| 49 | + return hasPathSum(root.left, sum - root.val) || hasPathSum(root.right, sum - root.val); |
| 50 | + } |
| 51 | + //从中序与后序遍历序列构造二叉树 |
| 52 | + public TreeNode buildTree(int[] inorder, int[] postorder) { |
| 53 | + if(postorder.length==0||inorder.length==0){ |
| 54 | + return null; |
| 55 | + } |
| 56 | + |
| 57 | + if(postorder.length!=inorder.length){ |
| 58 | + return null; |
| 59 | + } |
| 60 | + |
| 61 | + int rootVal=postorder[postorder.length-1]; |
| 62 | + TreeNode root=new TreeNode(rootVal); |
| 63 | + int rootIndex=-1; |
| 64 | + for(int i=0;i<inorder.length;i++){ |
| 65 | + if(inorder[i]==rootVal){ |
| 66 | + rootIndex=i; |
| 67 | + break; |
| 68 | + } |
| 69 | + } |
| 70 | + //也可以不用这么多temp数组,直接操作原数组,给定startIndex和endIndex,这样的话,参数是6个,但执行效率更快。 |
| 71 | + int[] inorderLeft=new int[rootIndex]; |
| 72 | + int[] inorderRight=new int[inorder.length-rootIndex-1]; |
| 73 | + int[] postorderLetf=new int[rootIndex]; |
| 74 | + int[] postorderRight=new int[inorder.length-rootIndex-1]; |
| 75 | + for(int i=0;i<rootIndex;i++){ |
| 76 | + inorderLeft[i]=inorder[i]; |
| 77 | + postorderLetf[i]=postorder[i]; |
| 78 | + } |
| 79 | + int j=0; |
| 80 | + for(int k=rootIndex+1;k<inorder.length;k++,j++){ |
| 81 | + inorderRight[j]=inorder[k]; |
| 82 | + postorderRight[j]=postorder[k-1]; |
| 83 | + } |
| 84 | + |
| 85 | + root.left=buildTree(inorderLeft,postorderLetf); |
| 86 | + root.right=buildTree(inorderRight,postorderRight); |
| 87 | + return root; |
| 88 | + } |
| 89 | +} |
| 90 | + |
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