树结构代码java 树的存储结构代码
用java怎么构造一个二叉树呢?
java构造二叉树,可以通过链表来构造,如下代码:
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public class BinTree {
public final static int MAX=40;
BinTree []elements = new BinTree[MAX];//层次遍历时保存各个节点
int front;//层次遍历时队首
int rear;//层次遍历时队尾
private Object data; //数据元数
private BinTree left,right; //指向左,右孩子结点的链
public BinTree()
{
}
public BinTree(Object data)
{ //构造有值结点
this.data = data;
left = right = null;
}
public BinTree(Object data,BinTree left,BinTree right)
{ //构造有值结点
this.data = data;
this.left = left;
this.right = right;
}
public String toString()
{
return data.toString();
}
//前序遍历二叉树
public static void preOrder(BinTree parent){
if(parent == null)
return;
System.out.print(parent.data+" ");
preOrder(parent.left);
preOrder(parent.right);
}
//中序遍历二叉树
public void inOrder(BinTree parent){
if(parent == null)
return;
inOrder(parent.left);
System.out.print(parent.data+" ");
inOrder(parent.right);
}
//后序遍历二叉树
public void postOrder(BinTree parent){
if(parent == null)
return;
postOrder(parent.left);
postOrder(parent.right);
System.out.print(parent.data+" ");
}
// 层次遍历二叉树
public void LayerOrder(BinTree parent)
{
elements[0]=parent;
front=0;rear=1;
while(frontrear)
{
try
{
if(elements[front].data!=null)
{
System.out.print(elements[front].data + " ");
if(elements[front].left!=null)
elements[rear++]=elements[front].left;
if(elements[front].right!=null)
elements[rear++]=elements[front].right;
front++;
}
}catch(Exception e){break;}
}
}
//返回树的叶节点个数
public int leaves()
{
if(this == null)
return 0;
if(left == nullright == null)
return 1;
return (left == null ? 0 : left.leaves())+(right == null ? 0 : right.leaves());
}
//结果返回树的高度
public int height()
{
int heightOfTree;
if(this == null)
return -1;
int leftHeight = (left == null ? 0 : left.height());
int rightHeight = (right == null ? 0 : right.height());
heightOfTree = leftHeightrightHeight?rightHeight:leftHeight;
return 1 + heightOfTree;
}
//如果对象不在树中,结果返回-1;否则结果返回该对象在树中所处的层次,规定根节点为第一层
public int level(Object object)
{
int levelInTree;
if(this == null)
return -1;
if(object == data)
return 1;//规定根节点为第一层
int leftLevel = (left == null?-1:left.level(object));
int rightLevel = (right == null?-1:right.level(object));
if(leftLevel0rightLevel0)
return -1;
levelInTree = leftLevelrightLevel?rightLevel:leftLevel;
return 1+levelInTree;
}
//将树中的每个节点的孩子对换位置
public void reflect()
{
if(this == null)
return;
if(left != null)
left.reflect();
if(right != null)
right.reflect();
BinTree temp = left;
left = right;
right = temp;
}
// 将树中的所有节点移走,并输出移走的节点
public void defoliate()
{
if(this == null)
return;
//若本节点是叶节点,则将其移走
if(left==nullright == null)
{
System.out.print(this + " ");
data = null;
return;
}
//移走左子树若其存在
if(left!=null){
left.defoliate();
left = null;
}
//移走本节点,放在中间表示中跟移走...
String innerNode += this + " ";
data = null;
//移走右子树若其存在
if(right!=null){
right.defoliate();
right = null;
}
}
/**
* @param args
*/
public static void main(String[] args) {
// TODO Auto-generated method stub
BinTree e = new BinTree("E");
BinTree g = new BinTree("G");
BinTree h = new BinTree("H");
BinTree i = new BinTree("I");
BinTree d = new BinTree("D",null,g);
BinTree f = new BinTree("F",h,i);
BinTree b = new BinTree("B",d,e);
BinTree c = new BinTree("C",f,null);
BinTree tree = new BinTree("A",b,c);
System.out.println("前序遍历二叉树结果: ");
tree.preOrder(tree);
System.out.println();
System.out.println("中序遍历二叉树结果: ");
tree.inOrder(tree);
System.out.println();
System.out.println("后序遍历二叉树结果: ");
tree.postOrder(tree);
System.out.println();
System.out.println("层次遍历二叉树结果: ");
tree.LayerOrder(tree);
System.out.println();
System.out.println("F所在的层次: "+tree.level("F"));
System.out.println("这棵二叉树的高度: "+tree.height());
System.out.println("--------------------------------------");
tree.reflect();
System.out.println("交换每个节点的孩子节点后......");
System.out.println("前序遍历二叉树结果: ");
tree.preOrder(tree);
System.out.println();
System.out.println("中序遍历二叉树结果: ");
tree.inOrder(tree);
System.out.println();
System.out.println("后序遍历二叉树结果: ");
tree.postOrder(tree);
System.out.println();
System.out.println("层次遍历二叉树结果: ");
tree.LayerOrder(tree);
System.out.println();
System.out.println("F所在的层次: "+tree.level("F"));
System.out.println("这棵二叉树的高度: "+tree.height());
}
关于java树结构的实现
可以用递归模拟树
要求子树拥有父树的id;
绝对原创;
import java.util.ArrayList;
import java.util.List;
public class Test2 {
public static void main(String[]args){
ListTree trees = new ArrayListTree();
int id = 1;
Tree t1 = new Tree(0,id++,"我是根树");
Tree t2 = new Tree(0,id++,"我是第二个根树");
Tree t3 = new Tree(1,id++,"我是子树");
trees.add(t1);
trees.add(t2);
trees.add(t3);
Tree t4 = new Tree(1,id++,"树根你好");
Tree t5 = new Tree(4,id++,"我不是树根");
Tree t6 = new Tree(5,id++,"我才是树根");
trees.add(t4);
trees.add(t5);
trees.add(t6);
show(trees);
}
public static void show(ListTree trees){
for(int i=0;itrees.size();i++){
Tree t = trees.get(i);
if(t.parent == 0){
StringBuffer blank = new StringBuffer();
t.show(trees,blank);
}
}
}
}
import java.util.List;
public class Tree {
public Tree(int parent,int id,String str) {
this.parent = parent;
this.id = id;
this.str = str;
}
int parent;//树的根树
int id;
String str;
// StringBuffer blank = new StringBuffer();
void show(ListTree trees, StringBuffer blank){
blank.append(" ");
System.out.println(blank + str );
for(int i=0;itrees.size();i++){
Tree t = trees.get(i);
if(t.parent == id){
t.show(trees,blank);
}
}
}
}
如何用Java实现树形结构啊?
package tree;
import java.util.LinkedList;
import java.util.List;
/**
* 功能:把一个数组的值存入二叉树中,然后进行3种方式的遍历
*
* 参考资料0:数据结构(C语言版)严蔚敏
*
* 参考资料1:
*
* 参考资料2:
*
* @author ocaicai@yeah.net @date: 2011-5-17
*
*/
public class BinTreeTraverse2 {
private int[] array = { 1, 2, 3, 4, 5, 6, 7, 8, 9 };
private static ListNode nodeList = null;
/**
* 内部类:节点
*
* @author ocaicai@yeah.net @date: 2011-5-17
*
*/
private static class Node {
Node leftChild;
Node rightChild;
int data;
Node(int newData) {
leftChild = null;
rightChild = null;
data = newData;
}
}
public void createBinTree() {
nodeList = new LinkedListNode();
// 将一个数组的值依次转换为Node节点
for (int nodeIndex = 0; nodeIndex array.length; nodeIndex++) {
nodeList.add(new Node(array[nodeIndex]));
}
// 对前lastParentIndex-1个父节点按照父节点与孩子节点的数字关系建立二叉树
for (int parentIndex = 0; parentIndex array.length / 2 - 1; parentIndex++) {
// 左孩子
nodeList.get(parentIndex).leftChild = nodeList
.get(parentIndex * 2 + 1);
// 右孩子
nodeList.get(parentIndex).rightChild = nodeList
.get(parentIndex * 2 + 2);
}
// 最后一个父节点:因为最后一个父节点可能没有右孩子,所以单独拿出来处理
int lastParentIndex = array.length / 2 - 1;
// 左孩子
nodeList.get(lastParentIndex).leftChild = nodeList
.get(lastParentIndex * 2 + 1);
// 右孩子,如果数组的长度为奇数才建立右孩子
if (array.length % 2 == 1) {
nodeList.get(lastParentIndex).rightChild = nodeList
.get(lastParentIndex * 2 + 2);
}
}
/**
* 先序遍历
*
* 这三种不同的遍历结构都是一样的,只是先后顺序不一样而已
*
* @param node
* 遍历的节点
*/
public static void preOrderTraverse(Node node) {
if (node == null)
return;
System.out.print(node.data + " ");
preOrderTraverse(node.leftChild);
preOrderTraverse(node.rightChild);
}
/**
* 中序遍历
*
* 这三种不同的遍历结构都是一样的,只是先后顺序不一样而已
*
* @param node
* 遍历的节点
*/
public static void inOrderTraverse(Node node) {
if (node == null)
return;
inOrderTraverse(node.leftChild);
System.out.print(node.data + " ");
inOrderTraverse(node.rightChild);
}
/**
* 后序遍历
*
* 这三种不同的遍历结构都是一样的,只是先后顺序不一样而已
*
* @param node
* 遍历的节点
*/
public static void postOrderTraverse(Node node) {
if (node == null)
return;
postOrderTraverse(node.leftChild);
postOrderTraverse(node.rightChild);
System.out.print(node.data + " ");
}
public static void main(String[] args) {
BinTreeTraverse2 binTree = new BinTreeTraverse2();
binTree.createBinTree();
// nodeList中第0个索引处的值即为根节点
Node root = nodeList.get(0);
System.out.println("先序遍历:");
preOrderTraverse(root);
System.out.println();
System.out.println("中序遍历:");
inOrderTraverse(root);
System.out.println();
System.out.println("后序遍历:");
postOrderTraverse(root);
}
}
用Java实现一个树形结构,并对其进行遍历
import java.util.Iterator;
import java.util.Random;
import java.util.TreeSet;
public class Demo{
public static void main(String[] args) throws Exception {
TreeSetInteger ts = new TreeSetInteger();
for(int i = 0; i 10; i++){
ts.add(new Random().nextInt(999));
}
for(IteratorInteger it = ts.iterator(); it.hasNext();){
System.out.println(it.next());
}
}
}
//上面是利用TreeSet进行简单的二叉树实现,另有遍历,当然遍历是自然顺序。
//如有需要请自行修改吧。
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