• 关于树



    import java.util.*;
    public class Solution {
        String Serialize(TreeNode root) {
            
    
            Queue<TreeNode> queue=new LinkedList<>();
            StringBuilder result=new StringBuilder();
            queue.offer(root);
            while(!queue.isEmpty())
            {
                /*  这种层序不是完全二叉树,只是将每一层的结点串联起来,不包含空结点
                int size=queue.size();
                for(int i=0;i<size;i++)
                {
                    TreeNode node=queue.poll();
                    result.append(node.val+",");
                    if(node.left!=null) 
                        queue.offer(node.left); 
    
                    if(node.right!=null) 
                        queue.offer(node.right); 
    
                }
                */
                //可以在队列中添加null的空结点
                TreeNode node=queue.poll();
                if(node!=null)
                {
                    queue.offer(node.left);
                    queue.offer(node.right);
                    result.append(node.val+",");
                }
                else
                {
                    result.append("#"+",");
                }
                 
            }
            if(result.length()!=0)
                result.deleteCharAt(result.length()-1);
             
            return result.toString();
      }
        
        TreeNode Deserialize(String str) {
            
            TreeNode head =null;
            if(str==null || str.length()==0)
                return head;
            String[] nodes=str.split(",");
            TreeNode[] treenodes=new TreeNode[nodes.length];
            for(int i=0;i<nodes.length;i++)
            {
                if(!nodes[i].equals("#"))
                {
                    treenodes[i]=new TreeNode(Integer.valueOf(nodes[i]));
                }
                     
            }
             
            for(int i=0,j=1;j<treenodes.length;i++)
            {
                if(treenodes[i]!=null)
                {
                    treenodes[i].left=treenodes[j++];
                    treenodes[i].right=treenodes[j++];
                }
            }
            return treenodes[0];
             
        }
         
    }
    /*
    public class TreeNode {
        int val = 0;
        TreeNode left = null;
        TreeNode right = null;
    
        public TreeNode(int val) {
            this.val = val;
    
        }
    
    }
    */
    //根据前序遍历规则完成序列化与反序列化
    //算法思想:根据前序遍历规则完成序列化与反序列化。所谓序列化指的是遍历二叉树为字
    //符串;所谓反序列化指的是依据字符串重新构造成二叉树。    依据前序遍历序列来序列化
    //二叉树,因为前序遍历序列是从根结点开始的。当在遍历二叉树时碰到Null指针时,这些
    //Null指针被序列化为一个特殊的字符“#”。    另外,结点之间的数值用逗号隔开。
    public class Solution {
        String Serialize(TreeNode root) {
            StringBuilder res=new StringBuilder();
            if(root==null)
            {
                res.append("#,");
                return res.toString();
            }
            
            res.append(root.val+",");
            res.append(Serialize(root.left));
            res.append(Serialize(root.right));
            return res.toString();
      }
        int index=-1;
        TreeNode Deserialize(String str) {
            index++;
            String[] strr=str.split(",");
            
            TreeNode node=null;
                
            if(!strr[index].equals("#"))
            {
                node=new TreeNode(Integer.valueOf(strr[index]));
                node.left=Deserialize(str);
                node.right=Deserialize(str);
            }
           return node;
      }
    }
    /**
    public class TreeNode {
        int val = 0;
        TreeNode left = null;
        TreeNode right = null;
    
        public TreeNode(int val) {
            this.val = val;
    
        }
    
    }
    */
    public class Solution {
        public boolean HasSubtree(TreeNode root1,TreeNode root2) {
            if(root1==null || root2==null)
            {
                return false;
            }
            
            if(root1.val==root2.val)
            {
                if(judge(root1,root2))
                    return true;
            }
            return HasSubtree(root1.left,root2) || HasSubtree(root1.right, root2);
    
        }
        public boolean judge(TreeNode root, TreeNode subtree)
            {
                if(subtree==null)
                    return true;
                if(root==null)
                    return false;
                if(root.val==subtree.val)
                    return judge(root.left, subtree.left)&&judge(root.right,subtree.right);
                
                return false;
            }
    }
    /**
    public class TreeNode {
        int val = 0;
        TreeNode left = null;
        TreeNode right = null;
    
        public TreeNode(int val) {
            this.val = val;
    
        }
    
    }
    */
    public class Solution {
        public int TreeDepth(TreeNode root) {
            
            if(root==null)
                return 0;
            //int left=TreeDepth(root.left);
            //int right=TreeDepth(root.right);
            return Math.max(TreeDepth(root.left)+1,TreeDepth(root.right)+1);
            
        }
    }

    /**
    public class TreeNode {
        int val = 0;
        TreeNode left = null;
        TreeNode right = null;
    
        public TreeNode(int val) {
            this.val = val;
    
        }
    
    }
    */
    public class Solution {
        public void Mirror(TreeNode root) {
            
            if(root==null)
                return;
            else{
                TreeNode node =root.left;
                root.left=root.right;
                root.right=node;
            }
            Mirror(root.left);
            Mirror(root.right);
                
            
        }
    }

    class Solution {
        public boolean isBalanced(TreeNode root) {
            if (root == null) return true;
            return Math.abs(depth(root.left) - depth(root.right)) <= 1 && isBalanced(root.left) && isBalanced(root.right);
        }
    
        private int depth(TreeNode root) {
            if (root == null) return 0;
            return Math.max(depth(root.left), depth(root.right)) + 1;
        }
    }
    二叉搜索树的中序遍历就是递增序列
    /**
     * Definition for a binary tree node.
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode(int x) { val = x; }
     * }
     */
    import java.util.*;
    class Solution {
        ArrayList<Integer> list=new ArrayList<>();
        public int kthLargest(TreeNode root, int k) {
            if(root==null)
                return 0;
            inOrder(root);
            return(list.get(list.size()-k));
        }
    
        public void inOrder(TreeNode root){
            if(root!=null){
                inOrder(root.left);
                list.add(root.val);
                inOrder(root.right);
            }
        }
    }

    /**
     * Definition for a binary tree node.
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode(int x) { val = x; }
     * }
     */
     import java.util.*;
    class Solution {
        public int maxDepth(TreeNode root) {
            if(root==null)
            return 0;
    
            int left=maxDepth(root.left);
            int right=maxDepth(root.right);
    
            return Math.max(left,right)+1;
    
        }
    }
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  • 原文地址:https://www.cnblogs.com/lemonzhang/p/13052857.html
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