
数据结构源码
实现类
import java.util.ArrayList
public class AVLTree<K extends Comparable<K>, V> {
private class Node{
public K key
public V value
public Node left, right
public int height
public Node(K key, V value){
this.key = key
this.value = value
left = null
right = null
height = 1
}
}
private Node root
private int size
public AVLTree(){
root = null
size = 0
}
public int getSize(){
return size
}
public boolean isEmpty(){
return size == 0
}
// 判断二叉树是否是一颗二分搜索树
public boolean isBST() {
ArrayList<K> keys = new ArrayList<>()
inOrder(root, keys)
for (int i = 1
if (keys.get(i - 1).compareTo(keys.get(i)) > 0) {
return false
}
}
return true
}
private void inOrder(Node node, ArrayList<K> keys) {
if (node == null)
return
inOrder(node.left, keys)
keys.add(node.key)
inOrder(node.right, keys)
}
// 判断二叉树是否是一颗平衡二叉树
public boolean isBalanced() {
return isBalanced(root)
}
// 判断以Node为根的二叉树是否是一颗平衡二叉树,递归算法
private boolean isBalanced(Node node) {
if (node == null) {
return true
}
int balanceFactor = getBalanceFactor(node)
if (Math.abs(balanceFactor) > 1) {
return false
}
return isBalanced(node.left) && isBalanced(node.right)
}
private int getHeight(Node node) {
if (node == null) {
return 0
}
return node.height
}
// 获得结点node的平衡因子
private int getBalanceFactor(Node node) {
if (node == null)
return 0
return getHeight(node.left) - getHeight(node.right)
}
/**
* 对结点y进行向右旋转,返回旋转之后新的根结点x
* y x
* / \ / \
* x T4 向右旋转 z y
* / \ - - - - - - - - -> / \ / \
* z T3 T1 T2 T3 T4
* / \
* T1 T2
*
* @param y
* @return
*/
private Node rightRotate(Node y) {
Node x = y.left
Node T3 = x.right
// 向右旋转过程
x.right = y
y.left = T3
// 更新height
y.height = Math.max(getHeight(y.left), getHeight(y.right)) + 1
x.height = Math.max(getHeight(x.left), getHeight(x.right)) + 1
return x
}
/**
* 对结点y进行向左旋转操作,返回旋转后的新根结点x
* y x
* / \ / \
* T1 x 向左旋转 (y) y z
* / \ - - - - - - - - -> / \ / \
* T2 z T1 T2 T3 T4
* / \
* T3 T4
* @param y
* @return
*/
private Node leftRotate(Node y) {
Node x = y.right
Node T2 = x.left
// 向左旋转过程
x.left = y
y.right = T2
// 更新height
y.height = Math.max(getHeight(y.left), getHeight(y.right)) + 1
x.height = Math.max(getHeight(x.left), getHeight(x.right)) + 1
return x
}
// 向AVL中添加新的元素(key, value)
public void add(K key, V value){
root = add(root, key, value)
}
// 向以node为根的AVL中插入元素(key, value),递归算法
// 返回插入新节点后AVL的根
private Node add(Node node, K key, V value){
if(node == null){
size ++
return new Node(key, value)
}
if(key.compareTo(node.key) < 0)
node.left = add(node.left, key, value)
else if(key.compareTo(node.key) > 0)
node.right = add(node.right, key, value)
else // key.compareTo(node.key) == 0
node.value = value
// 更新height
node.height = 1 + Math.max(getHeight(node.left), getHeight(node.right))
// 计算平衡因子
int balanceFactor = getBalanceFactor(node)
// 平衡维护
if (balanceFactor > 1 && getBalanceFactor(node.left) >= 0) {
return rightRotate(node)
}
if (balanceFactor < -1 && getBalanceFactor(node.right) <= 0) {
return leftRotate(node)
}
if (balanceFactor > 1 && getBalanceFactor(node.left) < 0) {
node.left = leftRotate(node.left)
return rightRotate(node)
}
if (balanceFactor < -1 && getBalanceFactor(node.right) > 0) {
node.right = rightRotate(node.right)
return leftRotate(node)
}
return node
}
// 返回以node为根节点的AVL中,key所在的节点
private Node getNode(Node node, K key){
if(node == null)
return null
if(key.equals(node.key))
return node
else if(key.compareTo(node.key) < 0)
return getNode(node.left, key)
else // if(key.compareTo(node.key) > 0)
return getNode(node.right, key)
}
public boolean contains(K key){
return getNode(root, key) != null
}
public V get(K key){
Node node = getNode(root, key)
return node == null ? null : node.value
}
public void set(K key, V newValue){
Node node = getNode(root, key)
if(node == null)
throw new IllegalArgumentException(key + " doesn't exist!")
node.value = newValue
}
// 返回以node为根的AVL的最小值所在的节点
private Node minimum(Node node){
if(node.left == null)
return node
return minimum(node.left)
}
// 从AVL中删除键为key的节点
public V remove(K key){
Node node = getNode(root, key)
if(node != null){
root = remove(root, key)
return node.value
}
return null
}
private Node remove(Node node, K key){
if( node == null )
return null
Node retNode
if(key.compareTo(node.key) < 0){
node.left = remove(node.left, key)
retNode = node
}
else if(key.compareTo(node.key) > 0){
node.right = remove(node.right, key)
retNode = node
}
else{ // key.compareTo(node.key) == 0
// 待删除节点左子树为空的情况
if(node.left == null){
Node rightNode = node.right
node.right = null
size --
retNode = rightNode
}
else if(node.right == null){ // 待删除节点右子树为空的情况
Node leftNode = node.left
node.left = null
size --
retNode = leftNode
}
else {
// 待删除节点左右子树均不为空的情况
// 找到比待删除节点大的最小节点, 即待删除节点右子树的最小节点
// 用这个节点顶替待删除节点的位置
Node successor = minimum(node.right)
successor.right = remove(node.right, successor.key)
successor.left = node.left
node.left = node.right = null
retNode = successor
}
}
if (retNode == null)
return null
// 更新height
retNode.height = 1 + Math.max(getHeight(node.left), getHeight(node.right))
// 计算平衡因子
int balanceFactor = getBalanceFactor(retNode)
// 平衡维护
if (balanceFactor > 1 && getBalanceFactor(retNode.left) >= 0) {
return rightRotate(retNode)
}
if (balanceFactor < -1 && getBalanceFactor(retNode.right) <= 0) {
return leftRotate(retNode)
}
if (balanceFactor > 1 && getBalanceFactor(retNode.left) < 0) {
retNode.left = leftRotate(retNode.left)
return rightRotate(retNode)
}
if (balanceFactor < -1 && getBalanceFactor(retNode.right) > 0) {
retNode.right = rightRotate(retNode.right)
return leftRotate(retNode)
}
return retNode
}
public static void main(String[] args){
}
}
数据结构拆解
维护字段和内部类
private class Node{
public K key
public V value
public Node left, right
public int height
public Node(K key, V value){
this.key = key
this.value = value
left = null
right = null
height = 1
}
}
private Node root
private int size
构造函数
public AVLTree(){
root = null
size = 0
}
增
public void add(K key, V value){
root = add(root, key, value);
}
private Node add(Node node, K key, V value){
if(node == null){
size ++;
return new Node(key, value);
}
if(key.compareTo(node.key) < 0)
node.left = add(node.left, key, value);
else if(key.compareTo(node.key) > 0)
node.right = add(node.right, key, value);
else
node.value = value;
node.height = 1 + Math.max(getHeight(node.left), getHeight(node.right));
int balanceFactor = getBalanceFactor(node);
if (balanceFactor > 1 && getBalanceFactor(node.left) >= 0) {
return rightRotate(node);
}
if (balanceFactor < -1 && getBalanceFactor(node.right) <= 0) {
return leftRotate(node);
}
if (balanceFactor > 1 && getBalanceFactor(node.left) < 0) {
node.left = leftRotate(node.left);
return rightRotate(node);
}
if (balanceFactor < -1 && getBalanceFactor(node.right) > 0) {
node.right = rightRotate(node.right);
return leftRotate(node);
}
return node;
}
删
// 从AVL中删除键为key的节点
public V remove(K key){
Node node = getNode(root, key)
if(node != null){
root = remove(root, key)
return node.value
}
return null
}
private Node remove(Node node, K key){
if( node == null )
return null
Node retNode
if(key.compareTo(node.key) < 0){
node.left = remove(node.left, key)
retNode = node
}
else if(key.compareTo(node.key) > 0){
node.right = remove(node.right, key)
retNode = node
}
else{ // key.compareTo(node.key) == 0
// 待删除节点左子树为空的情况
if(node.left == null){
Node rightNode = node.right
node.right = null
size --
retNode = rightNode
}
else if(node.right == null){ // 待删除节点右子树为空的情况
Node leftNode = node.left
node.left = null
size --
retNode = leftNode
}
else {
// 待删除节点左右子树均不为空的情况
// 找到比待删除节点大的最小节点, 即待删除节点右子树的最小节点
// 用这个节点顶替待删除节点的位置
Node successor = minimum(node.right)
successor.right = remove(node.right, successor.key)
successor.left = node.left
node.left = node.right = null
retNode = successor
}
}
if (retNode == null)
return null
// 更新height
retNode.height = 1 + Math.max(getHeight(node.left), getHeight(node.right))
// 计算平衡因子
int balanceFactor = getBalanceFactor(retNode)
// 平衡维护
if (balanceFactor > 1 && getBalanceFactor(retNode.left) >= 0) {
return rightRotate(retNode)
}
if (balanceFactor < -1 && getBalanceFactor(retNode.right) <= 0) {
return leftRotate(retNode)
}
if (balanceFactor > 1 && getBalanceFactor(retNode.left) < 0) {
retNode.left = leftRotate(retNode.left)
return rightRotate(retNode)
}
if (balanceFactor < -1 && getBalanceFactor(retNode.right) > 0) {
retNode.right = rightRotate(retNode.right)
return leftRotate(retNode)
}
return retNode
}
改
/**
* 对结点y进行向右旋转,返回旋转之后新的根结点x
* y x
* / \ / \
* x T4 向右旋转 z y
* / \ - - - - - - - - -> / \ / \
* z T3 T1 T2 T3 T4
* / \
* T1 T2
*
* @param y
* @return
*/
private Node rightRotate(Node y) {
Node x = y.left
Node T3 = x.right
// 向右旋转过程
x.right = y
y.left = T3
// 更新height
y.height = Math.max(getHeight(y.left), getHeight(y.right)) + 1
x.height = Math.max(getHeight(x.left), getHeight(x.right)) + 1
return x
}
/**
* 对结点y进行向左旋转操作,返回旋转后的新根结点x
* y x
* / \ / \
* T1 x 向左旋转 (y) y z
* / \ - - - - - - - - -> / \ / \
* T2 z T1 T2 T3 T4
* / \
* T3 T4
* @param y
* @return
*/
private Node leftRotate(Node y) {
Node x = y.right
Node T2 = x.left
// 向左旋转过程
x.left = y
y.right = T2
// 更新height
y.height = Math.max(getHeight(y.left), getHeight(y.right)) + 1
x.height = Math.max(getHeight(x.left), getHeight(x.right)) + 1
return x
}
public void set(K key, V newValue){
Node node = getNode(root, key)
if(node == null)
throw new IllegalArgumentException(key + " doesn't exist!")
node.value = newValue
}
查
public int getSize(){
return size;
}
public boolean isEmpty(){
return size == 0;
}
public boolean isBST() {
ArrayList<K> keys = new ArrayList<>();
inOrder(root, keys);
for (int i = 1; i < keys.size(); i++) {
if (keys.get(i - 1).compareTo(keys.get(i)) > 0) {
return false;
}
}
return true;
}
private void inOrder(Node node, ArrayList<K> keys) {
if (node == null)
return;
inOrder(node.left, keys);
keys.add(node.key);
inOrder(node.right, keys);
}
public boolean isBalanced() {
return isBalanced(root);
}
private boolean isBalanced(Node node) {
if (node == null) {
return true;
}
int balanceFactor = getBalanceFactor(node);
if (Math.abs(balanceFactor) > 1) {
return false;
}
return isBalanced(node.left) && isBalanced(node.right);
}
private int getHeight(Node node) {
if (node == null) {
return 0;
}
return node.height;
}
private int getBalanceFactor(Node node) {
if (node == null)
return 0;
return getHeight(node.left) - getHeight(node.right);
}
private Node getNode(Node node, K key){
if(node == null)
return null;
if(key.equals(node.key))
return node;
else if(key.compareTo(node.key) < 0)
return getNode(node.left, key);
else
return getNode(node.right, key);
}
public boolean contains(K key){
return getNode(root, key) != null;
}
public V get(K key){
Node node = getNode(root, key);
return node == null ? null : node.value;
}
private Node minimum(Node node){
if(node.left == null)
return node;
return minimum(node.left);
}