用于从未排序的链表中删除重复项的 C# 程序
编写一个 removeDuplicates()函数,该函数接受一个列表并从列表中删除任何重复的节点。该列表未排序。
例如,如果链表是 12->11->12->21->41->43->21,那么 removeDuplicates() 应该将链表转换为 12->11->21->41->43。
方法 1(使用两个循环):
这是使用两个循环的简单方法。外循环用于一一选择元素,内循环将选择的元素与其余元素进行比较。
感谢 Gaurav Saxena 帮助编写此代码。
C#
// C# program to remove duplicates from
// unsorted linked list
using System;
class List_
{
Node head;
class Node
{
public int data;
public Node next;
public Node(int d)
{
data = d;
next = null;
}
}
/* Function to remove duplicates from
an unsorted linked list */
void remove_duplicates()
{
Node ptr1 = null,
ptr2 = null, dup = null;
ptr1 = head;
// Pick elements one by one
while (ptr1 != null &&
ptr1.next != null)
{
ptr2 = ptr1;
/* Compare the picked element with
rest of the elements */
while (ptr2.next != null)
{
// If duplicate then delete it
if (ptr1.data == ptr2.next.data)
{
// sequence of steps is important here
dup = ptr2.next;
ptr2.next = ptr2.next.next;
}
else
{
ptr2 = ptr2.next;
}
}
ptr1 = ptr1.next;
}
}
void printList(Node node)
{
while (node != null)
{
Console.Write(node.data + " ");
node = node.next;
}
}
// Driver Code
public static void Main(String[] args)
{
List_ list = new List_();
list.head = new Node(10);
list.head.next = new Node(12);
list.head.next.next = new Node(11);
list.head.next.next.next = new Node(11);
list.head.next.next.next.next = new Node(12);
list.head.next.next.next.next.next = new Node(11);
list.head.next.next.next.next.next.next
= new Node(10);
Console.WriteLine(
"Linked List_ before removing duplicates : ");
list.printList(list.head);
list.remove_duplicates();
Console.WriteLine("");
Console.WriteLine(
"Linked List_ after removing duplicates : ");
list.printList(list.head);
}
}
// This code is contributed by gauravrajput1
C#
// C# program to remove duplicates
// from unsorted linkedlist
using System;
using System.Collections.Generic;
class removeDuplicates
{
class node
{
public int val;
public node next;
public node(int val)
{
this.val = val;
}
}
// Function to remove duplicates from a
// unsorted linked list
static void removeDuplicate(node head)
{
// Hash to store seen values
HashSet hs = new HashSet();
// Pick elements one by one
node current = head;
node prev = null;
while (current != null)
{
int curval = current.val;
// If current value is seen before
if (hs.Contains(curval))
{
prev.next = current.next;
}
else
{
hs.Add(curval);
prev = current;
}
current = current.next;
}
}
// Function to print nodes in a
// given linked list
static void printList(node head)
{
while (head != null)
{
Console.Write(head.val + " ");
head = head.next;
}
}
// Driver code
public static void Main(String[] args)
{
// The constructed linked list is:
// 10->12->11->11->12->11->10
node start = new node(10);
start.next = new node(12);
start.next.next = new node(11);
start.next.next.next = new node(11);
start.next.next.next.next = new node(12);
start.next.next.next.next.next = new node(11);
start.next.next.next.next.next.next = new node(10);
Console.WriteLine("Linked list before removing " +
"duplicates :");
printList(start);
removeDuplicate(start);
Console.WriteLine("Linked list after removing " +
"duplicates :");
printList(start);
}
}
// This code is contributed by amal kumar choubey
输出:
Linked list before removing duplicates:
10 12 11 11 12 11 10
Linked list after removing duplicates:
10 12 11
时间复杂度:O(n^2)
方法2(使用排序):
一般来说,合并排序是最适合有效排序链表的排序算法。
1) 使用合并排序对元素进行排序。我们很快就会写一篇关于排序链表的文章。 O(nLogn)
2)使用在排序的链表中删除重复项的算法在线性时间内删除重复项。在)
请注意,此方法不会保留元素的原始顺序。
时间复杂度:O(nLogn)
方法 3(使用散列):
我们从头到尾遍历链接列表。对于每个新遇到的元素,我们检查它是否在哈希表中:如果是,我们将其删除;否则我们把它放在哈希表中。
C#
// C# program to remove duplicates
// from unsorted linkedlist
using System;
using System.Collections.Generic;
class removeDuplicates
{
class node
{
public int val;
public node next;
public node(int val)
{
this.val = val;
}
}
// Function to remove duplicates from a
// unsorted linked list
static void removeDuplicate(node head)
{
// Hash to store seen values
HashSet hs = new HashSet();
// Pick elements one by one
node current = head;
node prev = null;
while (current != null)
{
int curval = current.val;
// If current value is seen before
if (hs.Contains(curval))
{
prev.next = current.next;
}
else
{
hs.Add(curval);
prev = current;
}
current = current.next;
}
}
// Function to print nodes in a
// given linked list
static void printList(node head)
{
while (head != null)
{
Console.Write(head.val + " ");
head = head.next;
}
}
// Driver code
public static void Main(String[] args)
{
// The constructed linked list is:
// 10->12->11->11->12->11->10
node start = new node(10);
start.next = new node(12);
start.next.next = new node(11);
start.next.next.next = new node(11);
start.next.next.next.next = new node(12);
start.next.next.next.next.next = new node(11);
start.next.next.next.next.next.next = new node(10);
Console.WriteLine("Linked list before removing " +
"duplicates :");
printList(start);
removeDuplicate(start);
Console.WriteLine("Linked list after removing " +
"duplicates :");
printList(start);
}
}
// This code is contributed by amal kumar choubey
输出:
Linked list before removing duplicates:
10 12 11 11 12 11 10
Linked list after removing duplicates:
10 12 11
感谢 Bearwang 提出这种方法。
时间复杂度:平均 O(n)(假设哈希表访问时间平均为 O(1))。
有关详细信息,请参阅有关从未排序的链接列表中删除重复项的完整文章!