二叉搜索树源码分享

时间:2021-05-19

复制代码 代码如下:
#include <iostream>
using namespace std;

//枚举类,前中后三种遍历方式
enum ORDER_MODE
{
ORDER_MODE_PREV = 0,
ORDER_MODE_MID,
ORDER_MODE_POST
};

//树节点的结构体
template <class T>
struct BinaryNode
{
Telement;
BinaryNode*left;
BinaryNode*right;

BinaryNode(const T& theElement,
BinaryNode *lt,
BinaryNode *rt):
element(theElement),
left(lt),
right(rt)
{

}
};


template <class T>
class BinarySearchTree
{
private:

BinaryNode<T>*m_root;

public:
BinarySearchTree();
BinarySearchTree(const BinarySearchTree& rhs);
~BinarySearchTree();

const T& findMin() const;
const T& findMax() const;
bool contains(const T& x) const;
void printTree(ORDER_MODE eOrderMode = ORDER_MODE_PREV) const;

void makeEmpty();
void insert(const T& x);
void remove(const T& x);

private:
void insert(const T& x, BinaryNode<T>* &t) ;
void remove(const T& x, BinaryNode<T>* &t) ;
BinaryNode<T>* findMin( BinaryNode<T>* t) const;
BinaryNode<T>* findMax( BinaryNode<T>* t) const;
bool contains(const T& x, const BinaryNode<T>* t) const;
void makeEmpty(BinaryNode<T>* &t);
void printTreeInPrev(BinaryNode<T>* t) const;
void printTreeInMid(BinaryNode<T>* t)const;
void printTreeInPost(BinaryNode<T>* t)const;
};

//构造方法
template <class T>
BinarySearchTree<T>::BinarySearchTree()
{
m_root = NULL;
}

//使用另一棵二叉搜索树的构造函数
template <class T>
BinarySearchTree<T>:: BinarySearchTree(const BinarySearchTree& rhs)
{
m_root = rhs.m_root;
}

//析构函数,释放内存
template <class T>
BinarySearchTree<T>:: ~BinarySearchTree()
{
makeEmpty();
}

// 判断x元素是否存在
template <class T>
bool BinarySearchTree<T>::contains(const T& x) const
{
return contains(x, m_root);
}

//递归调用
template <class T>
bool BinarySearchTree<T>::contains(const T& x, const BinaryNode<T>* t) const
{
if (!t)
return false;
else if (x < t->element)
return contains(x, t->left);
else if (x > t->element)
return contains(x, t->right);
else
return true;
}

// 寻找树中的最小值
template <class T>
const T& BinarySearchTree<T>::findMin() const
{
return findMin(m_root)->element;
}

//递归搜索树中最小值
template <class T>
BinaryNode<T>* BinarySearchTree<T>::findMin( BinaryNode<T>* t) const
{
//二叉树的一个特点就是左子叶的值比根节点小, 右子叶的比根节点的大
if (!t)
return NULL;
if (t->left == NULL)
return t;
else
return findMin(t->left);
}

// 寻找树中最大值
template <class T>
const T& BinarySearchTree<T>::findMax() const
{
return findMax(m_root)->element;
}

//递归寻找树中最大值
template <class T>
BinaryNode<T>* BinarySearchTree<T>::findMax( BinaryNode<T>* t) const
{
//二叉树的一个特点就是左子叶的值比根节点小, 右子叶的比根节点的大
if (t != NULL)
while (t->right != NULL)
t = t->right;
return t;
}

// 插入元素
template <class T>
void BinarySearchTree<T>:: insert(const T& x)
{
insert(x, m_root);
}

//递归插入
template <class T>
void BinarySearchTree<T>::insert(const T& x, BinaryNode<T>* &t)
{
if (t == NULL)
t = new BinaryNode<T>(x, NULL, NULL);//注意这个指针参数是引用
else if (x < t->element)
insert(x, t->left);
else if (x > t->element)
insert(x, t->right);
else
;//do nothing
}


//移除元素
template <class T>
void BinarySearchTree<T>::remove(const T& x)
{
return remove(x, m_root);
}

//递归移除
template <class T>
void BinarySearchTree<T>::remove(const T& x, BinaryNode<T>* &t)
{
if (t == NULL)
return;
if (x < t->element)
remove(x, t->left);
else if (x > t->element)
remove (x, t->right);
else // now ==
{
if (t->left != NULL &&
t->right != NULL)//two child
{
t->element = findMin(t->right)->element;
remove(t->element, t->right);
}
else
{
BinaryNode<T> *oldNode = t;
t = (t->left != NULL) ? t->left : t->right;
delete oldNode;
}
}
}

//清空二叉树
template <class T>
void BinarySearchTree<T>::makeEmpty()
{
makeEmpty(m_root);
}

//递归清空
template <class T>
void BinarySearchTree<T>::makeEmpty(BinaryNode<T>* &t)
{
if (t)
{
makeEmpty(t->left);
makeEmpty(t->right);
delete t;
}
t = NULL;
}


// 打印二叉搜索树
template <class T>
void BinarySearchTree<T>::printTree(ORDER_MODE eOrderMode ) const
{
if (ORDER_MODE_PREV == eOrderMode)
printTreeInPrev(m_root);
else if (ORDER_MODE_MID == eOrderMode)
printTreeInMid(m_root);
else if (ORDER_MODE_POST == eOrderMode)
printTreeInPost(m_root);
else
;//do nothing
}

//前序打印
template <class T>
void BinarySearchTree<T>::printTreeInPrev(BinaryNode<T>* t) const
{
if (t)
{
cout << t->element;
printTreeInPrev(t->left);
printTreeInPrev(t->right);
}
}

//中序打印
template <class T>
void BinarySearchTree<T>::printTreeInMid(BinaryNode<T>* t) const
{
if (t)
{
printTreeInPrev(t->left);
cout << t->element;
printTreeInPrev(t->right);
}
}

//后序打印
template <class T>
void BinarySearchTree<T>::printTreeInPost(BinaryNode<T>* t) const
{
if (t)
{
printTreeInPost(t->left);
printTreeInPost(t->right);
cout << t->element;
}
}
```


测试代码
===
```C++
#include "BinarySearchTree.h"


int main()
{
BinarySearchTree<int> binaryTree;
binaryTree.insert(5);
binaryTree.insert(1);
binaryTree.insert(2);
binaryTree.insert(3);
binaryTree.insert(6);
binaryTree.insert(8);
//测试前中后序打印
cout <<endl<<"前序:"<<endl;
binaryTree.printTree(ORDER_MODE_PREV);
cout <<endl<<"中序:"<<endl;
binaryTree.printTree(ORDER_MODE_MID);
cout <<endl<<"后序:"<<endl;
binaryTree.printTree(ORDER_MODE_POST);
cout <<endl;

//测试基本操作
bool b = binaryTree.contains(1);
cout<< "是否存在1:"<<b<<endl;
int x = binaryTree.findMin();
cout << "最小值为:"<< x <<endl;
x = binaryTree.findMax();
cout << "最大值为:"<< x <<endl;
binaryTree.remove(2);

cout << "移除元素2之后"<<endl;

//测试前中后序打印
cout <<endl<<"前序:"<<endl;
binaryTree.printTree(ORDER_MODE_PREV);
cout <<endl<<"中序:"<<endl;
binaryTree.printTree(ORDER_MODE_MID);
cout <<endl<<"后序:"<<endl;
binaryTree.printTree(ORDER_MODE_POST);
cout <<endl;

return 0;
}

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