AVL树实现与分析

一、背景知识

AVL树是高度平的二叉搜索树,它能降低二叉树的高度,减少树的平均搜索长度.

二、AVL树的性质

1、左子树和右子树的高度差的绝对值不超过1

2、树中的每个左子树和右子树都是AVL树

3、每个节点都有一个平衡因子(balance factor–bf),任一节点的平衡因子都为-1,0,1。(每个节点的平衡因子等于右子树的高度减去左子树的高度)

三、AVL的效率

  一棵AVL树有N个节点,高度可以保持在log2n,插入/删除/查找的时间复杂度也是log2n.

(注:log2n表示log以2为底n的对数。)

四、AVL的实现(代码及分析)

  AVL树(K/V)的结点

template<class K,class T>
struct AVLTreeNode
{
	K _key;     //搜索的关键字
	T _value;   //数值
	int _bf;    //平衡因子
	AVLTreeNode<K, T>* _left;
	AVLTreeNode<K, T>* _right;
	AVLTreeNode<K, T>* _parent;
	AVLTreeNode(const K& key, const T& value)
		:_key(key)
		, _value(value)
		, _bf(0)
		, _left(NULL)
		, _right(NULL)
		, _parent(NULL)
	{}
};

AVL树的旋转

当增加一个元素,如果破坏了-1,0,1这样的平衡因子的时候,就需要通过旋转来修改平衡因子。

《AVL树实现与分析》
代码实现(左单旋转)

void RotateL(Node* parent)
	{
		Node* subR = parent->_right;
		Node* subRL = subR->_left; 

		parent->_right = subRL;
		if (subRL) //判断
			subRL->_parent = parent;

		subR->_left = parent;
		Node* ppNode = parent->_parent;
		parent->_parent = subR;
		if (ppNode == NULL)
		{
			_root = subR;
			subR->_parent = NULL;
		}
		else
		{
			if (ppNode->_left == parent)
				ppNode->_left = subR;
			else if (ppNode->_right == parent)
				ppNode->_right = subR;
			subR->_parent = ppNode;
		}
		
		subR->_bf = parent->_bf = 0;
	}

右单旋转

《AVL树实现与分析》


右单旋转(代码实现)

void RotateR(Node* parent)
	{
		Node* subL = parent->_left;
		Node* subLR = subL->_right;

		parent->_left = subLR;
		if (subLR)
			subLR->_parent = parent;

		subL->_right = parent;
		Node* ppNode = parent->_parent;  //保存parent的父亲
		parent->_parent = subL;

		if (ppNode == NULL)
		{
			_root = subL;
			subL->_parent = NULL;
		}
		else
		{
			if (ppNode->_left == parent)
			{
				ppNode->_left = subL;
			}
			else
			if (ppNode->_right == parent)
			{
				ppNode->_right = subL;
			}
			subL->_parent = ppNode;
		}

		parent->_bf = 0;
		subL->_bf = 0;
	}

左右双旋

  《AVL树实现与分析》



左右双旋实现:

	void RotateLR(Node* parent)
	{
		Node* subL = parent->_left;
		Node* subLR = subL->_right;
		int bf = subLR->_bf;

		RotateL(parent->_left);
		RotateR(parent);

		if (bf == 0)
		{
			subLR->_bf = parent->_bf = subL->_bf = 0;
		}
		else if (bf == 1)
		{
			parent->_bf = 0;
			subL->_bf = -1;
			subLR->_bf = 0;
		}
		else//bf == -1
		{
			subL->_bf = 0;
			subLR->_bf = 0;
			parent->_bf = 1;
		}
	}

右左双旋转

《AVL树实现与分析》
代码实现:

void RotateRL(Node* parent)
	{
		Node* subR = parent->_right;
		Node* subRL = subR->_left;
		int bf = subRL->_bf;

		RotateR(parent->_right);//先右单旋转
		RotateL(parent);//整体左单旋

		if (bf == 0)
		{
			parent->_bf = subRL->_bf = 0;
		}
		else if (bf == 1)
		{
			subR->_bf = 0;
			parent->_bf = -1;
			subRL->_bf = 0;
		}
		else // bf == -1
		{
			parent->_bf = 0;
			subR->_bf = 1;
			subRL->_bf = 0;
		}
	}

AVL树的所有代码:

#include<string>

template<class K,class T>
struct AVLTreeNode
{
	K _key;
	T _value;
	int _bf;
	AVLTreeNode<K, T>* _left;
	AVLTreeNode<K, T>* _right;
	AVLTreeNode<K, T>* _parent;
	AVLTreeNode(const K& key, const T& value)
		:_key(key)
		, _value(value)
		, _bf(0)
		, _left(NULL)
		, _right(NULL)
		, _parent(NULL)
	{}
};

template<class K,class T>
class AVLTree
{
	typedef AVLTreeNode<K, T> Node;
protected:
	Node * _root;
public:
	AVLTree()
		:_root(NULL)
	{}
	~AVLTree()
	{}
	void Insert(const K& key, const T& value)//AVL树的插入
	{
		if (_root == NULL)
		{
			_root = new Node(key, value);
			return;
		}
		Node* cur = _root;
		Node* parent = NULL;
		while (cur)
		{
			if (key < cur->_key)
			{
				parent = cur;
				cur = cur->_left;
			}
			else if (key >cur->_key)
			{
				parent = cur;
				cur = cur->_right;
			}
			else
				break;
		}

		cur = new Node(key, value);
		if (parent->_key < key)
		{
			parent->_right = cur;
			cur->_parent = parent;
		}
		else if (parent->_key > key)
		{
			parent->_left = cur;
			cur->_parent = parent;
		}

		//平衡平衡因子
		while (parent)
		{
			if (cur == parent->_left)
				parent->_bf--;
			else if (cur == parent->_right)
				parent->_bf++;
			if (parent->_bf == 0)
				break;
			else if (parent->_bf == 1 || parent->_bf == -1)
			{
				cur = parent;
				parent = cur->_parent;
			}
			else  //
			{
				if (parent->_bf == -2)
				{
					Node* subL = parent->_left;
					if (subL->_bf == -1)
						RotateR(parent);
					else
						RotateLR(parent);
				}
				else if (parent->_bf == 2)
				{
					Node* subR = parent->_right;
					if (subR->_bf == 1)
						RotateL(parent);
					else
						RotateRL(parent);
				}
				break;
			}

		}
		return;
	}
	void InOrder()  //中序遍历
	{
		InOrder(_root);
	}
	bool IsBalance()  //判断是否平衡
	{
		int height = 0;
		return IsBalance(_root, height);
	}
	size_t Height()  //求树的高度
	{
		Height(_root);
	}
protected:
	bool IsBalance(Node* root, int& height)
	{
		if (root == NULL)
		{
			height = 0;
			return true;
		}
		int left, right ;

		if (IsBalance(root->_left, left) && IsBalance(root->_right, right)
			&& abs(right - left) < 2)
		{
			height = left < right ? right + 1 : left + 1;
			
			if (root->_bf != right - left)
			{
				cout << "平衡因子异常" << root->_key << endl;
				return false;
			}

			return true;
		}
		else
			return false;

	}
	void RotateR(Node* parent)
	{
		Node* subL = parent->_left;
		Node* subLR = subL->_right;

		parent->_left = subLR;
		if (subLR)
			subLR->_parent = parent;

		subL->_right = parent;
		Node* ppNode = parent->_parent;  //保存parent的父亲
		parent->_parent = subL;

		if (ppNode == NULL)
		{
			_root = subL;
			subL->_parent = NULL;
		}
		else
		{
			if (ppNode->_left == parent)
			{
				ppNode->_left = subL;
			}
			else
			if (ppNode->_right == parent)
			{
				ppNode->_right = subL;
			}
			subL->_parent = ppNode;
		}

		parent->_bf = 0;
		subL->_bf = 0;
	}

	void RotateL(Node* parent)
	{
		Node* subR = parent->_right;
		Node* subRL = subR->_left;

		parent->_right = subRL;
		if (subRL)
			subRL->_parent = parent;

		subR->_left = parent;
		Node* ppNode = parent->_parent;
		parent->_parent = subR;
		if (ppNode == NULL)
		{
			_root = subR;
			subR->_parent = NULL;
		}
		else
		{
			if (ppNode->_left == parent)
				ppNode->_left = subR;
			else if (ppNode->_right == parent)
				ppNode->_right = subR;
			subR->_parent = ppNode;
		}
		
		subR->_bf = parent->_bf = 0;
	}
	
	void RotateRL(Node* parent)
	{
		Node* subR = parent->_right;
		Node* subRL = subR->_left;
		int bf = subRL->_bf;

		RotateR(parent->_right);
		RotateL(parent);

		if (bf == 0)
		{
			parent->_bf = subRL->_bf = 0;
		}
		else if (bf == 1)
		{
			subR->_bf = 0;
			parent->_bf = -1;
			subRL->_bf = 0;
		}
		else // bf == -1
		{
			parent->_bf = 0;
			subR->_bf = 1;
			subRL->_bf = 0;
		}
	}
	void RotateLR(Node* parent)
	{
		Node* subL = parent->_left;
		Node* subLR = subL->_right;
		int bf = subLR->_bf;

		RotateL(parent->_left);
		RotateR(parent);

		if (bf == 0)
		{
			subLR->_bf = parent->_bf = subL->_bf = 0;
		}
		else if (bf == 1)
		{
			parent->_bf = 0;
			subL->_bf = -1;
			subLR->_bf = 0;
		}
		else//bf == -1
		{
			subL->_bf = 0;
			subLR->_bf = 0;
			parent->_bf = 1;
		}
	}
	void InOrder(Node* root)
	{
		if (root == NULL)
			return;
		InOrder(root->_left);
		cout << root->_value << " ";
		InOrder(root->_right);
	}
	size_t Height(Node* root)
	{
		if (root == NULL)
			return 0;

		int left = Height(root->_left);
		int right = Height(root->_right);
		return left < right ? right + 1 : left + 1;
	}
};

AVL树虽然实用性和效率并不是十分高,但是了解其实现过程,对红黑树、以及相关性能更高的树有着铺垫作用。

    原文作者:AVL树
    原文地址: https://blog.csdn.net/he_shuai20/article/details/70225792
    本文转自网络文章,转载此文章仅为分享知识,如有侵权,请联系博主进行删除。
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