java implementation of a simple binary tree, job hopping byte jump

Posted by mashamit on Thu, 02 Sep 2021 22:32:54 +0200

2, Binary tree

1. Definition of binary tree

A binary tree is a tree structure in which each node has at most two subtrees. It has five basic forms: binary tree can be an empty set; The root can have an empty left subtree or right subtree; Or the left and right subtrees are empty.

2. Properties of binary tree

Property 1: the maximum number of nodes on layer I of binary tree is 2i-1 (I > = 1)

Property 2: a binary tree with depth K has at most 2k-1 nodes (k > = 1)

Property 3: the height of a binary tree containing N nodes is at least (log2n)+1

Property 4: in any binary tree, if the number of terminal nodes is n0 and the number of nodes with degree 2 is n2, then n0=n2+1

3. Proof of property 4

Property 4: in any binary tree, if the number of terminal nodes is n0 and the number of nodes with degree 2 is n2, then n0=n2+1

It is proved that because the degrees of all nodes in the binary tree are not greater than 2, it is advisable to set n0 to represent the number of nodes with degree 0, n1 to represent the number of nodes with degree 1, and n2 to represent the number of nodes with degree 2. The sum of the three types of nodes is the number of summary points, so we can get: n=n0+n1+n2  ( 1)

The second equation can be obtained from the relationship between degrees: n=n0*0+n1*1+n2*2+1, that is, n=n1+2n2+1  ( 2)

If (1) and (2) are combined together, n0=n2+1 can be obtained

3, Full binary tree, complete binary tree and binary lookup tree

1. Full binary tree

Definition: a binary tree with a height of H and composed of 2h-1 nodes is called a full binary tree

2. Complete binary tree

Definition: in a binary tree, only the degree of the lowest two nodes can be less than 2, and the leaf nodes of the lowest layer are concentrated in several positions on the left. Such a binary tree is called a complete binary tree.

Features: leaf nodes can only appear in the lowest layer and sub lower layer, and the leaf nodes at the lowest layer are concentrated on the left of the tree. Obviously, a full binary tree must be a complete binary tree, and a complete binary tree may not be a full binary tree.

Interview question: if the total number of nodes of a complete binary tree is 768, find the number of leaf nodes.

From the properties of binary tree: n0=n2+1, bring it into 768=n0+n1+n2 to get: 768=n1+2n2+1, because the number of nodes with complete binary tree degree of 1 is either 0 or 1, then substitute n1=0 or 1 into the formula, and it is easy to find that n1=1 meets the condition. So n2=383, so the number of leaf nodes n0=n2+1=384.

Summary rule: if the total number of nodes of a complete binary tree is n, then the leaf nodes are equal to n/2 (when n is even) or (n+1)/2 (when n is odd)

3. Binary lookup tree

Definition: binary search tree is also called binary search tree. Let X be a node in the binary search tree, node x contains the keyword key, and the key value of node x is counted as key[x]. If y is a node in the left subtree of X, then key [y] < = key[x]; If y is a node of the right subtree of X, then key [y] > = key[x]

Find tree species in binary:

(1) If the left subtree of any node is not empty, the values of all nodes on the left subtree are less than those of its root node.

(2) If the right subtree of any node is not empty, the values of all nodes on the right subtree are greater than those of its root node.

(3) The left and right subtrees of any node are also binary search trees.

(4) There are no nodes with equal key values.

Requirements: store the number in an array in the storage structure of binary tree, and traverse and print.

`import java.util.ArrayList;

import java.util.List;

public class bintree {

    public bintree left;

    public bintree right;

    public bintree root;

//    Data domain

    private Object data;

    //    Storage node

    public List<bintree> datas;

    public bintree(bintree left, bintree right, Object data){




//    Leave the initial left and right child values blank

    public bintree(Object data){



    public bintree() {


    public void creat(Object[] objs){

        datas=new ArrayList<bintree>();

        //        Convert the values of an array into Node nodes in turn

        for(Object o:objs){

            datas.add(new bintree(o));


//        The first number is the root node


//        Establish binary tree

        for (int i = 0; i <objs.length/2; i++) {

//            Left child


//            Right child

            if(i*2+2<datas.size()){//Avoid subscript out of bounds in even numbers





//Preorder traversal 

public void preorder(bintree root){







//Medium order traversal

    public void inorder(bintree root){







//    Postorder traversal

    public void afterorder(bintree root){







    public static void main(String[] args) {

        bintree bintree=new bintree();

        Object []a={2,4,5,7,1,6,12,32,51,22};





Requirements: input the number from the keyboard, save it as a binary tree structure and print it.

import java.util.Scanner;

public class btree {

private btree left,right;

private char data;

public btree creat(String des){

    Scanner scanner=new Scanner(;



    if(str.charAt(0)<'a')return null;

    btree root=new btree();;

    root.left=creat(str.charAt(0)+"Left subtree");

    root.right=creat(str.charAt(0)+"Right subtree");

    return root;


public void midprint(btree btree){

//Medium order traversal



        System.out.print("  ");




public void firprint(btree btree){

//Preorder traversal


        System.out.print(" ");





public void lastprint(btree btree){

//Postorder traversal




        System.out.print("  ");



public static void main(String[] args) {

    btree tree = new btree();

    btree newtree=tree.creat("Root node");








Output results:

des:Root node  


des:a Left subtree  

Topics: Java Algorithm data structure Back-end Programmer