今天看了算法導論的第12章《二叉搜索樹》,覺得裏面的過程的僞代碼很精巧,過程講解也很仔細易懂,所以就寫下這個二叉搜索樹模板。
樹類數據結構的關鍵操作是插入和刪除,查找和遍歷相對而言技巧性和難度一般吧。
插入
在一個while循環裏,從root開始不斷往下走(根據左小右大的特點),找到要插入的位置,插進去就好了。
找要插入的位置的過程其實跟查找是一樣的。
插入後不用管樹平衡與否,所以還是很簡單的。
一個小細節:注意插入第一個結點的時候,要更新root!
bool insert(const T& value) {
TreeNode<T> *lastNode = NULL, *now = m_root, *toInsert = new TreeNode<T>(value);
while (now != NULL) {
lastNode = now;
if (value == now->value)
return false;
else if (value < now->value)
now = now->left;
else
now = now->right;
}
toInsert->parent = lastNode;
if (lastNode == NULL) {
m_root = toInsert;
}
else if (value < lastNode->value) {
lastNode->left = toInsert;
}
else {
lastNode->right = toInsert;
}
return true;
}
刪除
對要刪除的結點node分四種情況(但是實現的時候不需要這樣劃分,具體見代碼):
1. node是葉子結點,直接刪了,不會影響搜索樹的性質,要更新其父結點的孩子(也就是自己相當於變成NULL了);
2. node只有左孩子或只有右孩子,這個也很簡單,刪除相當於把左/右孩子提起來,放在自己原來的位置就好了;
3. node既有左孩子也有右孩子,需要找到樹中比node的值大的結點中,值最小的一個來替代node(想想爲什麼),其實只需要從node的右孩子一直往左走就可以了(見getTreeMinimum函數),這也是二叉搜索樹的特性決定的!
綜合上面的分析,每一種情況都需要把某個結點來替換另外一個結點的位置,所以就產生了transplant輔助函數了!transplant的意思是手術、移植,一個結點其實代表了以它爲根的子樹,所以相當於把一棵子樹移植到另一棵子樹的位置上去,它的實現也很容易理解:
void transplant(TreeNode<T>* from, TreeNode<T>* to) {
if (from->parent == NULL) {
m_root = to;
} else if (from == from->parent->left) {
from->parent->left = to;
} else {
from->parent->right = to;
}
if (to != NULL) {
to->parent = from->parent;
}
}
下面是刪除邏輯的實現:
bool deleteNode(TreeNode<T>* node) {
if (node == NULL)
return false;
if (node->left == NULL) {
transplant(node, node->right);
} else if (node->right == NULL) {
transplant(node, node->left);
} else {
TreeNode<T>* newSubRoot = getTreeMinimum(node->right);
if (newSubRoot->parent != node) {
transplant(newSubRoot, newSubRoot->right);
newSubRoot->right = node->right;
node->right->parent = newSubRoot;
}
transplant(node, newSubRoot);
newSubRoot->left = node->left;
node->left->parent = newSubRoot;
}
delete node;
return true;
}
所有代碼
// BinarySearchTree.h
#ifndef __BINARY_SEARCH_TREE_H__
#define __BINARY_SEARCH_TREE_H__
#include <stdlib.h>
#include <iostream>
using namespace std;
template<typename T>
struct TreeNode
{
T value;
TreeNode *left, *right, *parent;
TreeNode(const T& value)
: value(value), left(NULL), right(NULL), parent(NULL) {}
};
template<typename T>
class BinarySearchTree
{
public:
BinarySearchTree() {
m_root = NULL;
}
size_t height() const {
return getHeight(m_root);
}
// 返回是否插入成功,若有重複則插入失敗,則只保留已有的結點
bool insert(const T& value) {
TreeNode<T> *lastNode = NULL, *now = m_root, *toInsert = new TreeNode<T>(value);
while (now != NULL) {
lastNode = now;
if (value == now->value)
return false;
else if (value < now->value)
now = now->left;
else
now = now->right;
}
toInsert->parent = lastNode;
if (lastNode == NULL) {
m_root = toInsert;
}
else if (value < lastNode->value) {
lastNode->left = toInsert;
}
else {
lastNode->right = toInsert;
}
return true;
}
// 返回是否刪除成功,不成功的原因是:沒有這個值
bool deleteNode(const T& value) {
TreeNode<T> *now = m_root;
while (now != NULL) {
if (value == now->value)
return deleteNode(now);
else if (value < now->value)
now = now->left;
else
now = now->right;
}
return false;
}
bool deleteNode(TreeNode<T>* node) {
if (node == NULL)
return false;
if (node->left == NULL) {
transplant(node, node->right);
} else if (node->right == NULL) {
transplant(node, node->left);
} else {
TreeNode<T>* newSubRoot = getTreeMinimum(node->right);
if (newSubRoot->parent != node) {
transplant(newSubRoot, newSubRoot->right);
newSubRoot->right = node->right;
node->right->parent = newSubRoot;
}
transplant(node, newSubRoot);
newSubRoot->left = node->left;
node->left->parent = newSubRoot;
}
// delete node;
return true;
}
// 若返回NULL則表示找不到
TreeNode<T>* find(const T& value) const {
TreeNode<T> *now = m_root;
while (now != NULL) {
if (value == now->value)
return now;
else if (value < now->value)
now = now->left;
else
now = now->right;
}
return NULL;
}
// 前序輸出
void display(char spliter=' ') const {
if (m_root == NULL) {
cout << "NULL" << endl;
return;
}
displayHelper(m_root, spliter);
cout << endl;
}
private:
void transplant(TreeNode<T>* from, TreeNode<T>* to) {
if (from->parent == NULL) {
m_root = to;
} else if (from == from->parent->left) {
from->parent->left = to;
} else {
from->parent->right = to;
}
if (to != NULL) {
to->parent = from->parent;
}
}
size_t getHeight(const TreeNode<T>* root) const {
if (root == NULL)
return 0;
size_t left_height = getHeight(root->left);
size_t right_height = getHeight(root->right);
return max(left_height, right_height) + 1;
}
void displayHelper(TreeNode<T>* root, char spliter) const {
if (root == NULL)
return;
displayHelper(root->left, spliter);
cout << root->value << spliter;
displayHelper(root->right, spliter);
}
TreeNode<T>* getTreeMinimum(TreeNode<T>* root) const {
TreeNode<T>* now = root;
while (now->left != NULL)
now = now->left;
return now;
}
private:
TreeNode<T>* m_root;
};
#endif
下面是測試和使用的例子:
#include "BinarySearchTree.h"
#include <iostream>
#include <stdlib.h>
#include <ctime>
using namespace std;
inline int randInt() {
static const int MAX = 9;
return rand() % MAX;
}
int main() {
srand(time(0));
BinarySearchTree<int> bst;
for (int i = 0; i < 10; ++i)
bst.insert(randInt());
bst.display();
cout << "tree height = " << bst.height() << endl << endl;
for (int i = 0; i < 10; ++i) {
bool result = bst.deleteNode(i);
if (result)
cout << "delete success " << i << endl;
else
cout << "delete fail " << i << endl;
bst.display();
cout << endl;
}
return 0;
}