- 数据结构与算法
- DSA - 首页
- DSA - 概述
- DSA - 环境设置
- DSA - 算法基础
- DSA - 渐近分析
- 数据结构
- DSA - 数据结构基础
- DSA - 数据结构和类型
- DSA - 数组数据结构
- 链表
- DSA - 链表数据结构
- DSA - 双向链表数据结构
- DSA - 循环链表数据结构
- 栈与队列
- DSA - 栈数据结构
- DSA - 表达式解析
- DSA - 队列数据结构
- 搜索算法
- DSA - 搜索算法
- DSA - 线性搜索算法
- DSA - 二分搜索算法
- DSA - 插值搜索
- DSA - 跳跃搜索算法
- DSA - 指数搜索
- DSA - 斐波那契搜索
- DSA - 子列表搜索
- DSA - 哈希表
- 排序算法
- DSA - 排序算法
- DSA - 冒泡排序算法
- DSA - 插入排序算法
- DSA - 选择排序算法
- DSA - 归并排序算法
- DSA - 希尔排序算法
- DSA - 堆排序
- DSA - 桶排序算法
- DSA - 计数排序算法
- DSA - 基数排序算法
- DSA - 快速排序算法
- 图数据结构
- DSA - 图数据结构
- DSA - 深度优先遍历
- DSA - 广度优先遍历
- DSA - 生成树
- 树数据结构
- DSA - 树数据结构
- DSA - 树的遍历
- DSA - 二叉搜索树
- DSA - AVL树
- DSA - 红黑树
- DSA - B树
- DSA - B+树
- DSA - 伸展树
- DSA - 字典树
- DSA - 堆数据结构
- 递归
- DSA - 递归算法
- DSA - 使用递归实现汉诺塔
- DSA - 使用递归实现斐波那契数列
- 分治法
- DSA - 分治法
- DSA - 最大最小问题
- DSA - Strassen矩阵乘法
- DSA - Karatsuba算法
- 贪心算法
- DSA - 贪心算法
- DSA - 旅行商问题(贪心法)
- DSA - Prim最小生成树
- DSA - Kruskal最小生成树
- DSA - Dijkstra最短路径算法
- DSA - 地图着色算法
- DSA - 分数背包问题
- DSA - 带截止期限的作业排序
- DSA - 最优合并模式算法
- 动态规划
- DSA - 动态规划
- DSA - 矩阵链乘法
- DSA - Floyd-Warshall算法
- DSA - 0-1背包问题
- DSA - 最长公共子序列算法
- DSA - 旅行商问题(动态规划法)
- 近似算法
- DSA - 近似算法
- DSA - 顶点覆盖算法
- DSA - 集合覆盖问题
- DSA - 旅行商问题(近似算法)
- 随机化算法
- DSA - 随机化算法
- DSA - 随机化快速排序算法
- DSA - Karger最小割算法
- DSA - Fisher-Yates洗牌算法
- DSA有用资源
- DSA - 问答
- DSA - 快速指南
- DSA - 有用资源
- DSA - 讨论
哈希表数据结构
哈希表是一种以关联方式存储数据的数据结构。在哈希表中,数据以数组格式存储,每个数据值都有其唯一的索引值。如果我们知道所需数据的索引,则访问数据变得非常快。
因此,它成为一种数据结构,其中插入和搜索操作非常快,而不管数据的大小如何。哈希表使用数组作为存储介质,并使用哈希技术生成要插入元素或从中定位元素的索引。
哈希
哈希是一种将一系列键值转换为数组索引范围的技术。我们将使用取模运算符来获取一系列键值。考虑一个大小为 20 的哈希表的例子,并且要存储以下项目。项目采用 (键,值) 格式。
- (1,20)
- (2,70)
- (42,80)
- (4,25)
- (12,44)
- (14,32)
- (17,11)
- (13,78)
- (37,98)
序号 | 键 | 哈希值 | 数组索引 |
---|---|---|---|
1 | 1 | 1 % 20 = 1 | 1 |
2 | 2 | 2 % 20 = 2 | 2 |
3 | 42 | 42 % 20 = 2 | 2 |
4 | 4 | 4 % 20 = 4 | 4 |
5 | 12 | 12 % 20 = 12 | 12 |
6 | 14 | 14 % 20 = 14 | 14 |
7 | 17 | 17 % 20 = 17 | 17 |
8 | 13 | 13 % 20 = 13 | 13 |
9 | 37 | 37 % 20 = 17 | 17 |
线性探测
正如我们所看到的,哈希技术可能会创建数组中已使用的索引。在这种情况下,我们可以通过查找下一个单元格直到找到空单元格来搜索数组中的下一个空位置。这种技术称为线性探测。
序号 | 键 | 哈希值 | 数组索引 | 线性探测后,数组索引 |
---|---|---|---|---|
1 | 1 | 1 % 20 = 1 | 1 | 1 |
2 | 2 | 2 % 20 = 2 | 2 | 2 |
3 | 42 | 42 % 20 = 2 | 2 | 3 |
4 | 4 | 4 % 20 = 4 | 4 | 4 |
5 | 12 | 12 % 20 = 12 | 12 | 12 |
6 | 14 | 14 % 20 = 14 | 14 | 14 |
7 | 17 | 17 % 20 = 17 | 17 | 17 |
8 | 13 | 13 % 20 = 13 | 13 | 13 |
9 | 37 | 37 % 20 = 17 | 17 | 18 |
基本操作
以下是哈希表的基本主要操作。
搜索 - 在哈希表中搜索元素。
插入 - 在哈希表中插入元素。
删除 - 从哈希表中删除元素。
数据项
定义一个包含一些数据和键的数据项,根据该键在哈希表中进行搜索。
struct DataItem { int data; int key; };
哈希方法
定义一个哈希方法来计算数据项键的哈希码。
int hashCode(int key){ return key % SIZE; }
搜索操作
每当要搜索元素时,计算传递的键的哈希码,并使用该哈希码作为数组中的索引来定位元素。如果在计算的哈希码处找不到元素,则使用线性探测来获取前面的元素。
struct DataItem *search(int key) { //get the hash int hashIndex = hashCode(key); //move in array until an empty while(hashArray[hashIndex] != NULL) { if(hashArray[hashIndex]->key == key) return hashArray[hashIndex]; //go to next cell ++hashIndex; //wrap around the table hashIndex %= SIZE; } return NULL; }
示例
以下是各种编程语言中此操作的实现:
#include <stdio.h> #define SIZE 10 // Define the size of the hash table struct DataItem { int key; }; struct DataItem *hashArray[SIZE]; // Define the hash table as an array of DataItem pointers int hashCode(int key) { // Return a hash value based on the key return key % SIZE; } struct DataItem *search(int key) { // get the hash int hashIndex = hashCode(key); // move in array until an empty slot is found or the key is found while (hashArray[hashIndex] != NULL) { // If the key is found, return the corresponding DataItem pointer if (hashArray[hashIndex]->key == key) return hashArray[hashIndex]; // go to the next cell ++hashIndex; // wrap around the table hashIndex %= SIZE; } // If the key is not found, return NULL return NULL; } int main() { // Initializing the hash table with some sample DataItems struct DataItem item2 = {25}; // Assuming the key is 25 struct DataItem item3 = {64}; // Assuming the key is 64 struct DataItem item4 = {22}; // Assuming the key is 22 // Calculate the hash index for each item and place them in the hash table int hashIndex2 = hashCode(item2.key); hashArray[hashIndex2] = &item2; int hashIndex3 = hashCode(item3.key); hashArray[hashIndex3] = &item3; int hashIndex4 = hashCode(item4.key); hashArray[hashIndex4] = &item4; // Call the search function to test it int keyToSearch = 64; // The key to search for in the hash table struct DataItem *result = search(keyToSearch); printf("The element to be searched: %d", keyToSearch); if (result != NULL) { printf("\nElement found"); } else { printf("\nElement not found"); } return 0; }
输出
The element to be searched: 64 Element found
#include <iostream> #include <unordered_map> using namespace std; #define SIZE 10 // Define the size of the hash table struct DataItem { int key; }; unordered_map<int, DataItem*> hashMap; // Define the hash table as an unordered_map int hashCode(int key) { // Return a hash value based on the key return key % SIZE; } DataItem* search(int key) { // get the hash int hashIndex = hashCode(key); // move in the map until an empty slot is found or the key is found while (hashMap[hashIndex] != nullptr) { // If the key is found, return the corresponding DataItem pointer if (hashMap[hashIndex]->key == key) return hashMap[hashIndex]; // go to the next cell ++hashIndex; // wrap around the table hashIndex %= SIZE; } // If the key is not found, return nullptr return nullptr; } int main() { // Initializing the hash table with some sample DataItems DataItem item2 = {25}; // Assuming the key is 25 DataItem item3 = {64}; // Assuming the key is 64 DataItem item4 = {22}; // Assuming the key is 22 // Calculate the hash index for each item and place them in the hash table int hashIndex2 = hashCode(item2.key); hashMap[hashIndex2] = &item2; int hashIndex3 = hashCode(item3.key); hashMap[hashIndex3] = &item3; int hashIndex4 = hashCode(item4.key); hashMap[hashIndex4] = &item4; // Call the search function to test it int keyToSearch = 64; // The key to search for in the hash table DataItem* result = search(keyToSearch); cout<<"The element to be searched: "<<keyToSearch; if (result != nullptr) { cout << "\nElement found"; } else { cout << "\nElement not found"; } return 0; }
输出
The element to be searched: 64 Element found
import java.util.HashMap; public class Main { static final int SIZE = 10; // Define the size of the hash table static class DataItem { int key; } static HashMap<Integer, DataItem> hashMap = new HashMap<>(); // Define the hash table as a HashMap static int hashCode(int key) { // Return a hash value based on the key return key % SIZE; } static DataItem search(int key) { // get the hash int hashIndex = hashCode(key); // move in map until an empty slot is found or the key is found while (hashMap.get(hashIndex) != null) { // If the key is found, return the corresponding DataItem if (hashMap.get(hashIndex).key == key) return hashMap.get(hashIndex); // go to the next cell ++hashIndex; // wrap around the table hashIndex %= SIZE; } // If the key is not found, return null return null; } public static void main(String[] args) { // Initializing the hash table with some sample DataItems DataItem item2 = new DataItem(); item2.key = 25; // Assuming the key is 25 DataItem item3 = new DataItem(); item3.key = 64; // Assuming the key is 64 DataItem item4 = new DataItem(); item4.key = 22; // Assuming the key is 22 // Calculate the hash index for each item and place them in the hash table int hashIndex2 = hashCode(item2.key); hashMap.put(hashIndex2, item2); int hashIndex3 = hashCode(item3.key); hashMap.put(hashIndex3, item3); int hashIndex4 = hashCode(item4.key); hashMap.put(hashIndex4, item4); // Call the search function to test it int keyToSearch = 64; // The key to search for in the hash table DataItem result = search(keyToSearch); System.out.print("The element to be searched: " + keyToSearch); if (result != null) { System.out.println("\nElement found"); } else { System.out.println("\nElement not found"); } } }
输出
The element to be searched: 64 Element found
SIZE = 10 # Define the size of the hash table class DataItem: def __init__(self, key): self.key = key hashMap = {} # Define the hash table as a dictionary def hashCode(key): # Return a hash value based on the key return key % SIZE def search(key): # get the hash hashIndex = hashCode(key) # move in map until an empty slot is found or the key is found while hashIndex in hashMap: # If the key is found, return the corresponding DataItem if hashMap[hashIndex].key == key: return hashMap[hashIndex] # go to the next cell hashIndex = (hashIndex + 1) % SIZE # If the key is not found, return None return None # Initializing the hash table with some sample DataItems item2 = DataItem(25) # Assuming the key is 25 item3 = DataItem(64) # Assuming the key is 64 item4 = DataItem(22) # Assuming the key is 22 # Calculate the hash index for each item and place them in the hash table hashIndex2 = hashCode(item2.key) hashMap[hashIndex2] = item2 hashIndex3 = hashCode(item3.key) hashMap[hashIndex3] = item3 hashIndex4 = hashCode(item4.key) hashMap[hashIndex4] = item4 # Call the search function to test it keyToSearch = 64 # The key to search for in the hash table result = search(keyToSearch) print("The element to be searched: ", keyToSearch) if result: print("Element found") else: print("Element not found")
输出
The element to be searched: 64 Element found
插入操作
每当要插入元素时,计算传递的键的哈希码,并使用该哈希码作为数组中的索引来定位索引。如果在计算的哈希码处找到元素,则使用线性探测来查找空位置。
void insert(int key,int data) { struct DataItem *item = (struct DataItem*) malloc(sizeof(struct DataItem)); item->data = data; item->key = key; //get the hash int hashIndex = hashCode(key); //move in array until an empty or deleted cell while(hashArray[hashIndex] != NULL && hashArray[hashIndex]->key != -1) { //go to next cell ++hashIndex; //wrap around the table hashIndex %= SIZE; } hashArray[hashIndex] = item; }
示例
以下是各种编程语言中此操作的实现:
#include <stdio.h> #include <stdlib.h> #define SIZE 4 // Define the size of the hash table struct DataItem { int key; }; struct DataItem *hashArray[SIZE]; // Define the hash table as an array of DataItem pointers int hashCode(int key) { // Return a hash value based on the key return key % SIZE; } void insert(int key) { // Create a new DataItem using malloc struct DataItem *newItem = (struct DataItem*)malloc(sizeof(struct DataItem)); if (newItem == NULL) { // Check if malloc fails to allocate memory fprintf(stderr, "Memory allocation error\n"); return; } newItem->key = key; // Initialize other data members if needed // Calculate the hash index for the key int hashIndex = hashCode(key); // Handle collisions (linear probing) while (hashArray[hashIndex] != NULL) { // Move to the next cell ++hashIndex; // Wrap around the table if needed hashIndex %= SIZE; } // Insert the new DataItem at the calculated index hashArray[hashIndex] = newItem; } int main() { // Call the insert function with different keys to populate the hash table insert(42); // Insert an item with key 42 insert(25); // Insert an item with key 25 insert(64); // Insert an item with key 64 insert(22); // Insert an item with key 22 // Output the populated hash table for (int i = 0; i < SIZE; i++) { if (hashArray[i] != NULL) { printf("Index %d: Key %d\n", i, hashArray[i]->key); } else { printf("Index %d: Empty\n", i); } } return 0; }
输出
Index 0: Key 64 Index 1: Key 25 Index 2: Key 42 Index 3: Key 22
#include <iostream> #include <vector> #define SIZE 4 // Define the size of the hash table struct DataItem { int key; }; std::vector<DataItem*> hashArray(SIZE, nullptr); // Define the hash table as a vector of DataItem pointers int hashCode(int key) { // Return a hash value based on the key return key % SIZE; } void insert(int key) { // Create a new DataItem using new (dynamic memory allocation) DataItem *newItem = new DataItem; newItem->key = key; // Initialize other data members if needed // Calculate the hash index for the key int hashIndex = hashCode(key); // Handle collisions (linear probing) while (hashArray[hashIndex] != nullptr) { // Move to the next cell ++hashIndex; // Wrap around the table if needed hashIndex %= SIZE; } // Insert the new DataItem at the calculated index hashArray[hashIndex] = newItem; } int main() { // Call the insert function with different keys to populate the hash table insert(42); // Insert an item with key 42 insert(25); // Insert an item with key 25 insert(64); // Insert an item with key 64 insert(22); // Insert an item with key 22 // Output the populated hash table for (int i = 0; i < SIZE; i++) { if (hashArray[i] != nullptr) { std::cout << "Index " << i << ": Key " << hashArray[i]->key << std::endl; } else { std::cout << "Index " << i << ": Empty" << std::endl; } } return 0; }
输出
Index 0: Key 64 Index 1: Key 25 Index 2: Key 42 Index 3: Key 22
import java.util.Arrays; public class Main { static final int SIZE = 4; // Define the size of the hash table static class DataItem { int key; } static DataItem[] hashArray = new DataItem[SIZE]; // Define the hash table as an array of DataItem pointers static int hashCode(int key) { // Return a hash value based on the key return key % SIZE; } static void insert(int key) { // Create a new DataItem DataItem newItem = new DataItem(); newItem.key = key; // Initialize other data members if needed // Calculate the hash index for the key int hashIndex = hashCode(key); // Handle collisions (linear probing) while (hashArray[hashIndex] != null) { // Move to the next cell hashIndex++; // Wrap around the table if needed hashIndex %= SIZE; } // Insert the new DataItem at the calculated index hashArray[hashIndex] = newItem; } public static void main(String[] args) { // Call the insert function with different keys to populate the hash table insert(42); // Insert an item with key 42 insert(25); // Insert an item with key 25 insert(64); // Insert an item with key 64 insert(22); // Insert an item with key 22 // Output the populated hash table for (int i = 0; i < SIZE; i++) { if (hashArray[i] != null) { System.out.println("Index " + i + ": Key " + hashArray[i].key); } else { System.out.println("Index " + i + ": Empty"); } } } }
输出
Index 0: Key 64 Index 1: Key 25 Index 2: Key 42 Index 3: Key 22
SIZE = 4 # Define the size of the hash table class DataItem: def __init__(self, key): self.key = key hashArray = [None] * SIZE # Define the hash table as a list of DataItem pointers def hashCode(key): # Return a hash value based on the key return key % SIZE def insert(key): # Create a new DataItem newItem = DataItem(key) # Initialize other data members if needed # Calculate the hash index for the key hashIndex = hashCode(key) # Handle collisions (linear probing) while hashArray[hashIndex] is not None: # Move to the next cell hashIndex += 1 # Wrap around the table if needed hashIndex %= SIZE # Insert the new DataItem at the calculated index hashArray[hashIndex] = newItem # Call the insert function with different keys to populate the hash table insert(42) # Insert an item with key 42 insert(25) # Insert an item with key 25 insert(64) # Insert an item with key 64 insert(22) # Insert an item with key 22 # Output the populated hash table for i in range(SIZE): if hashArray[i] is not None: print(f"Index {i}: Key {hashArray[i].key}") else: print(f"Index {i}: Empty")
输出
Index 0: Key 64 Index 1: Key 25 Index 2: Key 42 Index 3: Key 22
删除操作
每当要删除元素时,计算传递的键的哈希码,并使用该哈希码作为数组中的索引来定位索引。如果在计算的哈希码处找不到元素,则使用线性探测来获取前面的元素。找到后,在那里存储一个虚拟项以保持哈希表的性能完整。
struct DataItem* delete(struct DataItem* item) { int key = item->key; //get the hash int hashIndex = hashCode(key); //move in array until an empty while(hashArray[hashIndex] !=NULL) { if(hashArray[hashIndex]->key == key) { struct DataItem* temp = hashArray[hashIndex]; //assign a dummy item at deleted position hashArray[hashIndex] = dummyItem; return temp; } //go to next cell ++hashIndex; //wrap around the table hashIndex %= SIZE; } return NULL; }
示例
以下是各种编程语言中哈希表删除操作的实现:
#include <stdio.h> #include <stdlib.h> #define SIZE 5 // Define the size of the hash table struct DataItem { int key; }; struct DataItem *hashArray[SIZE]; // Define the hash table as an array of DataItem pointers int hashCode(int key) { // Implement your hash function here // Return a hash value based on the key } void insert(int key) { // Create a new DataItem using malloc struct DataItem *newItem = (struct DataItem*)malloc(sizeof(struct DataItem)); if (newItem == NULL) { // Check if malloc fails to allocate memory fprintf(stderr, "Memory allocation error\n"); return; } newItem->key = key; // Initialize other data members if needed // Calculate the hash index for the key int hashIndex = hashCode(key); // Handle collisions (linear probing) while (hashArray[hashIndex] != NULL) { // Move to the next cell ++hashIndex; // Wrap around the table if needed hashIndex %= SIZE; } // Insert the new DataItem at the calculated index hashArray[hashIndex] = newItem; // Print the inserted item's key and hash index printf("Inserted key %d at index %d\n", newItem->key, hashIndex); } void delete(int key) { // Find the item in the hash table int hashIndex = hashCode(key); while (hashArray[hashIndex] != NULL) { if (hashArray[hashIndex]->key == key) { // Mark the item as deleted (optional: free memory) free(hashArray[hashIndex]); hashArray[hashIndex] = NULL; return; } // Move to the next cell ++hashIndex; // Wrap around the table if needed hashIndex %= SIZE; } // If the key is not found, print a message printf("Item with key %d not found.\n", key); } int main() { // Call the insert function with different keys to populate the hash table printf("Hash Table Contents before deletion:\n"); insert(1); // Insert an item with key 42 insert(2); // Insert an item with key 25 insert(3); // Insert an item with key 64 insert(4); // Insert an item with key 22 int ele1 = 2; int ele2 = 4; printf("The key to be deleted: %d and %d", ele1, ele2); delete(ele1); // Delete an item with key 42 delete(ele2); // Delete an item with key 25 // Print the hash table's contents after delete operations printf("\nHash Table Contents after deletion:\n"); for (int i = 1; i < SIZE; i++) { if (hashArray[i] != NULL) { printf("Index %d: Key %d\n", i, hashArray[i]->key); } else { printf("Index %d: Empty\n", i); } } return 0; }
输出
Hash Table Contents before deletion: Inserted key 1 at index 1 Inserted key 2 at index 2 Inserted key 3 at index 3 Inserted key 4 at index 4 The key to be deleted: 2 and 4 Hash Table Contents after deletion: Index 1: Key 1 Index 2: Empty Index 3: Key 3 Index 4: Empty
#include <iostream> using namespace std; const int SIZE = 5; // Define the size of the hash table struct DataItem { int key; }; struct DataItem* hashArray[SIZE]; // Define the hash table as an array of DataItem pointers int hashCode(int key) { // Implement your hash function here // Return a hash value based on the key // A simple hash function (modulo division) return key % SIZE; } void insert(int key) { // Create a new DataItem using new struct DataItem* newItem = new DataItem; newItem->key = key; // Initialize other data members if needed // Calculate the hash index for the key int hashIndex = hashCode(key); // Handle collisions (linear probing) while (hashArray[hashIndex] != nullptr) { // Move to the next cell ++hashIndex; // Wrap around the table if needed hashIndex %= SIZE; } // Insert the new DataItem at the calculated index hashArray[hashIndex] = newItem; // Print the inserted item's key and hash index cout << "Inserted key " << newItem->key << " at index " << hashIndex << endl; } void deleteItem(int key) { // Find the item in the hash table int hashIndex = hashCode(key); while (hashArray[hashIndex] != nullptr) { if (hashArray[hashIndex]->key == key) { // Mark the item as deleted (optional: free memory) delete hashArray[hashIndex]; hashArray[hashIndex] = nullptr; return; } // Move to the next cell ++hashIndex; // Wrap around the table if needed hashIndex %= SIZE; } // If the key is not found, print a message cout << "Item with key " << key << " not found." << endl; } int main() { // Call the insert function with different keys to populate the hash table cout<<"Hash Table Contents before deletion:\n"; insert(1); // Insert an item with key 42 insert(2); // Insert an item with key 25 insert(3); // Insert an item with key 64 insert(4); // Insert an item with key 22 int ele1 = 2; int ele2 = 4; cout<<"The key to be deleted: "<<ele1<<" and "<<ele2<<"\n"; deleteItem(2); // Delete an item with key 42 deleteItem(4); // Delete an item with key 25 cout<<"Hash Table Contents after deletion:\n"; // Print the hash table's contents after delete operations for (int i = 1; i < SIZE; i++) { if (hashArray[i] != nullptr) { cout << "Index " << i << ": Key " << hashArray[i]->key << endl; } else { cout << "Index " << i << ": Empty" << endl; } } return 0; }
输出
Hash Table Contents before deletion: Inserted key 1 at index 1 Inserted key 2 at index 2 Inserted key 3 at index 3 Inserted key 4 at index 4 The key to be deleted: 2 and 4 Hash Table Contents after deletion: Index 1: Key 1 Index 2: Empty Index 3: Key 3 Index 4: Empty
public class Main { static final int SIZE = 5; // Define the size of the hash table static class DataItem { int key; DataItem(int key) { this.key = key; } } static DataItem[] hashArray = new DataItem[SIZE]; // Define the hash table as an array of DataItem objects static int hashCode(int key) { // Implement your hash function here // Return a hash value based on the key return key % SIZE; // A simple hash function using modulo operator } static void insert(int key) { // Calculate the hash index for the key int hashIndex = hashCode(key); // Handle collisions (linear probing) while (hashArray[hashIndex] != null) { // Move to the next cell hashIndex = (hashIndex + 1) % SIZE; } // Insert the new DataItem at the calculated index hashArray[hashIndex] = new DataItem(key); // Print the inserted item's key and hash index System.out.println("Inserted key " + key + " at index " + hashIndex); } static void delete(int key) { // Find the item in the hash table int hashIndex = hashCode(key); while (hashArray[hashIndex] != null) { if (hashArray[hashIndex].key == key) { // Mark the item as deleted (optional: free memory) hashArray[hashIndex] = null; // Print the deleted item's key and hash index return; } // Move to the next cell hashIndex = (hashIndex + 1) % SIZE; } // If the key is not found, print a message System.out.println("Item with key " + key + " not found."); } public static void main(String[] args) { // Call the insert function with different keys to populate the hash table System.out.println("Hash Table Contents before deletion: "); insert(1); // Insert an item with key 1 insert(2); // Insert an item with key 2 insert(3); // Insert an item with key 3 insert(4); // Insert an item with key 4 int ele1 = 2; int ele2 = 4; System.out.print("The keys to be deleted: " + ele1 + " and " + ele2); delete(ele1); // Delete an item with key 2 delete(ele2); // Delete an item with key 4 // Print the hash table's contents after delete operations System.out.println("\nHash Table Contents after deletion:"); for (int i = 1; i < SIZE; i++) { if (hashArray[i] != null) { System.out.println("Index " + i + ": Key " + hashArray[i].key); } else { System.out.println("Index " + i + ": Empty"); } } } }
输出
Hash Table Contents before deletion: Inserted key 1 at index 1 Inserted key 2 at index 2 Inserted key 3 at index 3 Inserted key 4 at index 4 The keys to be deleted: 2 and 4 Hash Table Contents after deletion: Index 1: Key 1 Index 2: Empty Index 3: Key 3 Index 4: Empty
SIZE = 5 # Define the size of the hash table class DataItem: def __init__(self, key): self.key = key def hashCode(key): # Implement your hash function here # Return a hash value based on the key return key % SIZE def insert(key): global hashArray # Access the global hashArray variable # Calculate the hash index for the key hashIndex = hashCode(key) # Handle collisions (linear probing) while hashArray[hashIndex] is not None: # Move to the next cell hashIndex = (hashIndex + 1) % SIZE # Insert the new DataItem at the calculated index hashArray[hashIndex] = DataItem(key) # Print the inserted item's key and hash index print(f"Inserted key {key} at index {hashIndex}") def delete(key): global hashArray # Access the global hashArray variable # Find the item in the hash table hashIndex = hashCode(key) while hashArray[hashIndex] is not None: if hashArray[hashIndex].key == key: # Mark the item as deleted (optional: free memory) hashArray[hashIndex] = None return # Move to the next cell hashIndex = (hashIndex + 1) % SIZE # If the key is not found, print a message print(f"Item with key {key} not found.") # Initialize the hash table as a list of None values hashArray = [None] * SIZE print("Hash Table Contents before deletion:") # Call the insert function with different keys to populate the hash table insert(1) # Insert an item with key 1 insert(2) # Insert an item with key 2 insert(3) # Insert an item with key 3 insert(4) # Insert an item with key 4 ele1 = 2 ele2 = 4 print("The keys to be deleted: ", ele1, " and ", ele2) delete(2) # Delete an item with key 2 delete(4) # Delete an item with key 4 # Print the hash table's contents after delete operations print("Hash Table Contents after deletion:") for i in range(1, SIZE): if hashArray[i] is not None: print(f"Index {i}: Key {hashArray[i].key}") else: print(f"Index {i}: Empty")
输出
Hash Table Contents before deletion: Inserted key 1 at index 1 Inserted key 2 at index 2 Inserted key 3 at index 3 Inserted key 4 at index 4 The keys to be deleted: 2 and 4 Hash Table Contents after deletion: Index 1: Key 1 Index 2: Empty Index 3: Key 3 Index 4: Empty
完整实现
以下是各种编程语言中上述操作的完整实现:
#include <stdio.h> #include <string.h> #include <stdlib.h> #include <stdbool.h> #define SIZE 20 struct DataItem { int data; int key; }; struct DataItem* hashArray[SIZE]; struct DataItem* dummyItem; struct DataItem* item; int hashCode(int key) { return key % SIZE; } struct DataItem *search(int key) { //get the hash int hashIndex = hashCode(key); //move in array until an empty while(hashArray[hashIndex] != NULL) { if(hashArray[hashIndex]->key == key) return hashArray[hashIndex]; //go to next cell ++hashIndex; //wrap around the table hashIndex %= SIZE; } return NULL; } void insert(int key,int data) { struct DataItem *item = (struct DataItem*) malloc(sizeof(struct DataItem)); item->data = data; item->key = key; //get the hash int hashIndex = hashCode(key); //move in array until an empty or deleted cell while(hashArray[hashIndex] != NULL && hashArray[hashIndex]->key != -1) { //go to next cell ++hashIndex; //wrap around the table hashIndex %= SIZE; } hashArray[hashIndex] = item; } struct DataItem* delete(struct DataItem* item) { int key = item->key; //get the hash int hashIndex = hashCode(key); //move in array until an empty while(hashArray[hashIndex] != NULL) { if(hashArray[hashIndex]->key == key) { struct DataItem* temp = hashArray[hashIndex]; //assign a dummy item at deleted position hashArray[hashIndex] = dummyItem; return temp; } //go to next cell ++hashIndex; //wrap around the table hashIndex %= SIZE; } return NULL; } void display() { int i = 0; for(i = 0; i<SIZE; i++) { if(hashArray[i] != NULL) printf("(%d,%d) ",hashArray[i]->key,hashArray[i]->data); } printf("\n"); } int main() { dummyItem = (struct DataItem*) malloc(sizeof(struct DataItem)); dummyItem->data = -1; dummyItem->key = -1; insert(1, 20); insert(2, 70); insert(42, 80); insert(4, 25); insert(12, 44); insert(14, 32); insert(17, 11); insert(13, 78); insert(37, 97); printf("Insertion done: \n"); printf("Contents of Hash Table: "); display(); int ele = 37; printf("The element to be searched: %d", ele); item = search(ele); if(item != NULL) { printf("\nElement found: %d\n", item->key); } else { printf("\nElement not found\n"); } delete(item); printf("Hash Table contents after deletion: "); display(); }
输出
Insertion done: Contents of Hash Table: (1,20) (2,70) (42,80) (4,25) (12,44) (13,78) (14,32) (17,11) (37,97) The element to be searched: 37 Element found: 37 Hash Table contents after deletion: (1,20) (2,70) (42,80) (4,25) (12,44) (13,78) (14,32) (17,11) (-1,-1)
#include <iostream> #include <vector> using namespace std; using namespace std; #define SIZE 20 struct DataItem { int data; int key; }; std::vector<DataItem*> hashArray(SIZE, nullptr); DataItem* dummyItem; DataItem* item; int hashCode(int key) { return key % SIZE; } DataItem* search(int key) { //get the hash int hashIndex = hashCode(key); //move in array until an empty while (hashArray[hashIndex] != nullptr) { if (hashArray[hashIndex]->key == key) return hashArray[hashIndex]; //go to next cell //wrap around the table hashIndex = (hashIndex + 1) % SIZE; } return nullptr; } void insert(int key, int data) { DataItem* item = new DataItem; item->data = data; item->key = key; //get the hash int hashIndex = hashCode(key); //move in array until an empty or deleted cell while (hashArray[hashIndex] != nullptr && hashArray[hashIndex]->key != -1) { hashIndex = (hashIndex + 1) % SIZE; } hashArray[hashIndex] = item; } DataItem* deleteItem(DataItem* item) { int key = item->key; int hashIndex = hashCode(key); while (hashArray[hashIndex] != nullptr) { if (hashArray[hashIndex]->key == key) { DataItem* temp = hashArray[hashIndex]; hashArray[hashIndex] = dummyItem; return temp; } hashIndex = (hashIndex + 1) % SIZE; } return nullptr; } void display() { for (int i = 0; i < SIZE; i++) { if (hashArray[i] != nullptr) cout << " (" << hashArray[i]->key << "," << hashArray[i]->data << ")"; } cout << std::endl; } int main() { dummyItem = new DataItem; dummyItem->data = -1; dummyItem->key = -1; insert(1, 20); insert(2, 70); insert(42, 80); insert(4, 25); insert(12, 44); insert(14, 32); insert(17, 11); insert(13, 78); insert(37, 97); cout<<"Insertion Done"; cout<<"\nContents of Hash Table: "; display(); int ele = 37; cout<<"The element to be searched: "<<ele; item = search(ele); if (item != nullptr) { cout << "\nElement found: " << item->key; } else { cout << "\nElement not found" << item->key; } // Clean up allocated memory delete(item); cout<<"\nHash Table contents after deletion: "; display(); }
输出
Insertion Done Contents of Hash Table: (1,20) (2,70) (42,80) (4,25) (12,44) (13,78) (14,32) (17,11) (37,97) The element to be searched: 37 Element found: 37 Hash Table contents after deletion: (1,20) (2,70) (42,80) (4,25) (12,44) (13,78) (14,32) (17,11) (5,1666768001)
public class HashTableExample { static final int SIZE = 20; static class DataItem { int data; int key; DataItem(int data, int key) { this.data = data; this.key = key; } } static DataItem[] hashArray = new DataItem[SIZE]; static DataItem dummyItem = new DataItem(-1, -1); static DataItem item; static int hashCode(int key) { return key % SIZE; } static DataItem search(int key) { int hashIndex = hashCode(key); while (hashArray[hashIndex] != null) { if (hashArray[hashIndex].key == key) return hashArray[hashIndex]; hashIndex = (hashIndex + 1) % SIZE; } return null; } static void insert(int key, int data) { DataItem item = new DataItem(data, key); int hashIndex = hashCode(key); while (hashArray[hashIndex] != null && hashArray[hashIndex].key != -1) { hashIndex = (hashIndex + 1) % SIZE; } hashArray[hashIndex] = item; } static DataItem deleteItem(DataItem item) { int key = item.key; int hashIndex = hashCode(key); while (hashArray[hashIndex] != null) { if (hashArray[hashIndex].key == key) { DataItem temp = hashArray[hashIndex]; hashArray[hashIndex] = dummyItem; return temp; } hashIndex = (hashIndex + 1) % SIZE; } return null; } static void display() { for (int i = 0; i < SIZE; i++) { if (hashArray[i] != null) System.out.print(" (" + hashArray[i].key + "," + hashArray[i].data + ")"); } System.out.println(); } public static void main(String[] args) { insert(1, 20); insert(2, 70); insert(42, 80); insert(4, 25); insert(12, 44); insert(14, 32); insert(17, 11); insert(13, 78); insert(37, 97); System.out.print("Insertion done"); System.out.print("\nContents of Hash Table:"); display(); int ele = 37; System.out.print("The element to be searched: " + ele); item = search(37); if (item != null) { System.out.println("\nElement found: " + item.key); } else { System.out.println("\nElement not found"); } deleteItem(item); System.out.print("Hash Table contents after deletion:"); display(); } }
输出
Insertion done Contents of Hash Table: (1,20) (2,70) (42,80) (4,25) (12,44) (13,78) (14,32) (17,11) (37,97) The element to be searched: 37 Element found: 37 Hash Table contents after deletion: (1,20) (2,70) (42,80) (4,25) (12,44) (13,78) (14,32) (17,11) (-1,-1)
SIZE = 20 class DataItem: def __init__(self, data, key): self.data = data self.key = key # Initialize the hash array with None values hashArray = [None] * SIZE # Create a dummy item to mark deleted cells in the hash table dummyItem = DataItem(-1, -1) # Variable to hold the item found in the search operation item = None # Hash function to calculate the hash index for the given key def hashCode(key): return key % SIZE # Function to search for an item in the hash table by its key def search(key): # Calculate the hash index using the hash function hashIndex = hashCode(key) # Traverse the array until an empty cell is encountered while hashArray[hashIndex] is not None: if hashArray[hashIndex].key == key: # Item found, return the item return hashArray[hashIndex] # Move to the next cell (linear probing) hashIndex = (hashIndex + 1) % SIZE # If the loop terminates without finding the item, it means the item is not present return None # Function to insert an item into the hash table def insert(key, data): # Create a new DataItem object item = DataItem(data, key) # Calculate the hash index using the hash function hashIndex = hashCode(key) # Handle collisions using linear probing (move to the next cell until an empty cell is found) while hashArray[hashIndex] is not None and hashArray[hashIndex].key != -1: hashIndex = (hashIndex + 1) % SIZE # Insert the item into the hash table at the calculated index hashArray[hashIndex] = item # Function to delete an item from the hash table def deleteItem(item): key = item.key # Calculate the hash index using the hash function hashIndex = hashCode(key) # Traverse the array until an empty or deleted cell is encountered while hashArray[hashIndex] is not None: if hashArray[hashIndex].key == key: # Item found, mark the cell as deleted by replacing it with the dummyItem temp = hashArray[hashIndex] hashArray[hashIndex] = dummyItem return temp # Move to the next cell (linear probing) hashIndex = (hashIndex + 1) % SIZE # If the loop terminates without finding the item, it means the item is not present return None # Function to display the hash table def display(): for i in range(SIZE): if hashArray[i] is not None: # Print the key and data of the item at the current index print(" ({}, {})".format(hashArray[i].key, hashArray[i].data), end="") else: # Print ~~ for an empty cell print(" ~~ ", end="") print() if __name__ == "__main__": # Test the hash table implementation # Insert some items into the hash table insert(1, 20) insert(2, 70) insert(42, 80) insert(4, 25) insert(12, 44) insert(14, 32) insert(17, 11) insert(13, 78) insert(37, 97) print("Insertion done") print("Hash Table contents: "); # Display the hash table display() display() # Search for an item with a specific key (37) item = search(37) # Check if the item was found or not and print the result if item is not None: print("Element found:", item.data) else: print("Element not found") # Delete the item with key 37 from the hash table deleteItem(item) # Search again for the item with key 37 after deletion item = search(37) # Check if the item was found or not and print the result if item is not None: print("Element found:", item.data) else: print("Element not found")
输出
~~ (1, 20) (2, 70) (42, 80) (4, 25) ~~ ~~ ~~ ~~ ~~ ~~ ~~ (12, 44) (13, 78) (14, 32) ~~ ~~ (17, 11) (37, 97) ~~ Element found: 97 Element not found
广告