AVL树的定义

JAVA数据结构--AVL树的实现-LMLPHP

  上图是摘自维基百科的AVL树实现的图例,比较清晰的解释了AVL调整平衡的过程。ABCD代表当前节点有子树。

AVL树节点定义

 private static class AvlNode<T>{
public AvlNode(T theElement) {
this(theElement, null, null);
}
public AvlNode(T theElement,AvlNode<T> lt,AvlNode<T> rt) {
element=theElement;
left=lt;
right=rt;
height=0;
}
T element;
AvlNode<T> left;
AvlNode<T> right;
int height;
}

与二叉查找树的定义类似,不过加入了节点的深度height定义。

AVL节点计算方法

 private int height(AvlNode<T> t) {
return t==null?-1:t.height;
}

当banlance()或者旋转时height都会改变

节点旋转

 /*
* 实现单旋转
* */
private AvlNode<T> rotateWithLeftChild(AvlNode<T> k2){//单左旋转
AvlNode<T> k1=k2.left;
k2.left=k1.right;
k1.right=k2;
k2.height=Math.max(height(k2.left), height(k2.right))+1;
k1.height=Math.max(height(k1.left), k2.height)+1;
return k1;
}
private AvlNode<T> rotateWithRightChild(AvlNode<T> k1){//单右旋转
AvlNode<T> k2=k1.right;
k1.right=k2.left;
k2.left=k1;
k2.height=Math.max(height(k1.left), height(k1.right))+1;
k1.height=Math.max(height(k2.right), k1.height)+1;
return k2;
}
/*
* 实现双旋转
*
* */
private AvlNode<T> doubleWithLeftChild(AvlNode<T> k3){//先右旋转再左旋转
k3.left=rotateWithRightChild(k3.left);
return rotateWithLeftChild(k3);
}
private AvlNode<T> doubleWithRightChild( AvlNode<T> k1 ){//先左旋转再右旋转
k1.right = rotateWithLeftChild( k1.right );
return rotateWithRightChild( k1 );
}

balance()方法的实现

 private AvlNode<T> balance(AvlNode<T> t){
if(t==null)
return t;
if(height(t.left)-height(t.right)>ALLOWED_IMBALANCE) {//左子树高度过高
if(height(t.left.left)>=height(t.left.right))//判断进行单旋转还是双旋转
t=rotateWithLeftChild(t);
else
t=doubleWithLeftChild(t);
}
else if (height(t.right)-height(t.left)>ALLOWED_IMBALANCE) {//右子树高度过高
if(height(t.right.right)>=height(t.right.left)) t=rotateWithRightChild(t);
else
t=doubleWithRightChild(t);
}
t.height=Math.max(height(t.left), height(t.right))+1;
return t;
}

删除节点方法

 private AvlNode<T> remove(T x,AvlNode<T> t){
if(t==null)
return t;
int compareResult=x.compareTo(t.element);
if(compareResult<0)
t.left=remove(x, t.left);//递归查找删除
else if (compareResult>0) {
t.right=remove(x, t.right);
}
else if (t.left!=null&&t.right!=null) {//要删除的节点两个孩子节点的情况
t.element=findMin(t.right).element;//从右子树中找出最小的节点替换当前要删除的节点
t.right=remove(t.element, t.right);//删除右子树中需要拿出替换的节点
}
else {
t=(t.left!=null)?t.left:t.right;//单个子节点的情况
}
return balance(t);
}

完整代码如下(不含遍历),github地址

 package Tree;
public class AvlTree <T extends Comparable<? super T>>{
private static class AvlNode<T>{
public AvlNode(T theElement) {
this(theElement, null, null);
}
public AvlNode(T theElement,AvlNode<T> lt,AvlNode<T> rt) {
element=theElement;
left=lt;
right=rt;
height=0;
}
T element;
AvlNode<T> left;
AvlNode<T> right;
int height;
}
private AvlNode<T> root;//定义根节点
public AvlTree() {
root=null;
}
public int height() {
return height(root);
}
public void insert(T x) {
insert(x, root);
}
public void remove(T x) {
root=remove(x,root);
}
private int height(AvlNode<T> t) {
return t==null?-1:t.height;
}
private AvlNode<T> insert(T x,AvlNode<T> t){
if(t==null)
return new AvlNode<T>(x, null, null);
int compareResult=x.compareTo(t.element);
if(compareResult<0) {
t.left=insert(x, t.left);
}
else if(compareResult>0){
t.right=insert(x, t.right);
}
else { }
return balance(t); }
private AvlNode<T> balance(AvlNode<T> t){
if(t==null)
return t;
if(height(t.left)-height(t.right)>ALLOWED_IMBALANCE) {//左子树高度过高
if(height(t.left.left)>=height(t.left.right))//判断进行单旋转还是双旋转
t=rotateWithLeftChild(t);
else
t=doubleWithLeftChild(t);
}
else if (height(t.right)-height(t.left)>ALLOWED_IMBALANCE) {//右子树高度过高
if(height(t.right.right)>=height(t.right.left)) t=rotateWithRightChild(t);
else
t=doubleWithRightChild(t);
}
t.height=Math.max(height(t.left), height(t.right))+1;
return t;
}
/*
* 实现单旋转
* */
private AvlNode<T> rotateWithLeftChild(AvlNode<T> k2){//单左旋转
AvlNode<T> k1=k2.left;
k2.left=k1.right;
k1.right=k2;
k2.height=Math.max(height(k2.left), height(k2.right))+1;
k1.height=Math.max(height(k1.left), k2.height)+1;
return k1;
}
private AvlNode<T> rotateWithRightChild(AvlNode<T> k1){//单右旋转
AvlNode<T> k2=k1.right;
k1.right=k2.left;
k2.left=k1;
k2.height=Math.max(height(k1.left), height(k1.right))+1;
k1.height=Math.max(height(k2.right), k1.height)+1;
return k2;
}
/*
* 实现双旋转
*
* */
private AvlNode<T> doubleWithLeftChild(AvlNode<T> k3){//先右旋转再左旋转
k3.left=rotateWithRightChild(k3.left);
return rotateWithLeftChild(k3);
}
private AvlNode<T> doubleWithRightChild( AvlNode<T> k1 ){//先左旋转再右旋转
k1.right = rotateWithLeftChild( k1.right );
return rotateWithRightChild( k1 );
}
private AvlNode<T> remove(T x,AvlNode<T> t){
if(t==null)
return t;
int compareResult=x.compareTo(t.element);
if(compareResult<0)
t.left=remove(x, t.left);//递归查找删除
else if (compareResult>0) {
t.right=remove(x, t.right);
}
else if (t.left!=null&&t.right!=null) {//要删除的节点两个孩子节点的情况
t.element=findMin(t.right).element;//从右子树中找出最小的节点替换当前要删除的节点
t.right=remove(t.element, t.right);//删除右子树中需要拿出替换的节点
}
else {
t=(t.left!=null)?t.left:t.right;//单个子节点的情况
}
return balance(t);
}
private AvlNode<T> findMin(AvlNode<T> t){
//非递归写法
if(t!=null)
while(t.left!=null)
t=t.left;
return t;
//递归写法
/*if(t==null)
return null;
else if (t.left==null) {
return t;
}
return findMin(t.left);*/
}
private static final int ALLOWED_IMBALANCE=1; }
05-11 22:47