合并两个已排序的链表

编写一个SortedMerge()函数,该函数接受两个列表,每个列表按递增顺序排序,并将这两个列表合并为一个递增顺序的列表。SortedMerge()应返回新列表。新列表应该通过将前两个列表的节点拼接在一起来创建。

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例如,如果第一个链表a是5->10->15,而另一个链表b是2->3->20,那么SortedMerge()应该返回一个指向合并列表2->3->5->10->15->20的头节点的指针。

有很多情况需要处理:“a”或“b”可能是空的,在处理过程中,“a”或“b”可能会先用完,最后,会出现结果列表为空的问题,并在执行“a”和“b”时将其建立起来。

方法1(使用虚拟节点) 这里的策略使用临时虚拟节点作为结果列表的开始。指针尾部始终指向结果列表中的最后一个节点,因此附加新节点很容易。

当结果列表为空时,虚拟节点为尾部提供初始指向的对象。这个虚拟节点是有效的,因为它只是临时的,并且是在堆栈中分配的。循环继续,从“a”或“b”中移除一个节点,并将其添加到尾部。什么时候

我们完成了,结果是虚拟的。下一个

下图是上述方法的试运行:

Merge-Two-Sorted-LinkedLists1

以下是上述方法的实施情况:

C++

/* C++ program to merge two sorted linked lists */
#include <bits/stdc++.h>
using namespace std;
/* Link list node */
class Node
{
public :
int data;
Node* next;
};
/* pull off the front node of
the source and put it in dest */
void MoveNode(Node** destRef, Node** sourceRef);
/* Takes two lists sorted in increasing
order, and splices their nodes together
to make one big sorted list which
is returned. */
Node* SortedMerge(Node* a, Node* b)
{
/* a dummy first node to hang the result on */
Node dummy;
/* tail points to the last result node */
Node* tail = &dummy;
/* so tail->next is the place to
add new nodes to the result. */
dummy.next = NULL;
while (1)
{
if (a == NULL)
{
/* if either list runs out, use the
other list */
tail->next = b;
break ;
}
else if (b == NULL)
{
tail->next = a;
break ;
}
if (a->data <= b->data)
MoveNode(&(tail->next), &a);
else
MoveNode(&(tail->next), &b);
tail = tail->next;
}
return (dummy.next);
}
/* UTILITY FUNCTIONS */
/* MoveNode() function takes the
node from the front of the source,
and move it to the front of the dest.
It is an error to call this with the
source list empty.
Before calling MoveNode():
source == {1, 2, 3}
dest == {1, 2, 3}
After calling MoveNode():
source == {2, 3}
dest == {1, 1, 2, 3} */
void MoveNode(Node** destRef, Node** sourceRef)
{
/* the front source node */
Node* newNode = *sourceRef;
assert (newNode != NULL);
/* Advance the source pointer */
*sourceRef = newNode->next;
/* Link the old dest off the new node */
newNode->next = *destRef;
/* Move dest to point to the new node */
*destRef = newNode;
}
/* Function to insert a node at
the beginning of the linked list */
void push(Node** head_ref, int new_data)
{
/* allocate node */
Node* new_node = new Node();
/* put in the data */
new_node->data = new_data;
/* link the old list off the new node */
new_node->next = (*head_ref);
/* move the head to point to the new node */
(*head_ref) = new_node;
}
/* Function to print nodes in a given linked list */
void printList(Node *node)
{
while (node!=NULL)
{
cout<<node->data<< " " ;
node = node->next;
}
}
/* Driver code*/
int main()
{
/* Start with the empty list */
Node* res = NULL;
Node* a = NULL;
Node* b = NULL;
/* Let us create two sorted linked lists
to test the functions
Created lists, a: 5->10->15, b: 2->3->20 */
push(&a, 15);
push(&a, 10);
push(&a, 5);
push(&b, 20);
push(&b, 3);
push(&b, 2);
/* Remove duplicates from linked list */
res = SortedMerge(a, b);
cout << "Merged Linked List is: " ;
printList(res);
return 0;
}
// This code is contributed by rathbhupendra


C

/* C program to merge two sorted linked lists */
#include<stdio.h>
#include<stdlib.h>
#include<assert.h>
/* Link list node */
struct Node
{
int data;
struct Node* next;
};
/* pull off the front node of the source and put it in dest */
void MoveNode( struct Node** destRef, struct Node** sourceRef);
/* Takes two lists sorted in increasing order, and splices
their nodes together to make one big sorted list which
is returned.  */
struct Node* SortedMerge( struct Node* a, struct Node* b)
{
/* a dummy first node to hang the result on */
struct Node dummy;
/* tail points to the last result node  */
struct Node* tail = &dummy;
/* so tail->next is the place to add new nodes
to the result. */
dummy.next = NULL;
while (1)
{
if (a == NULL)
{
/* if either list runs out, use the
other list */
tail->next = b;
break ;
}
else if (b == NULL)
{
tail->next = a;
break ;
}
if (a->data <= b->data)
MoveNode(&(tail->next), &a);
else
MoveNode(&(tail->next), &b);
tail = tail->next;
}
return (dummy.next);
}
/* UTILITY FUNCTIONS */
/* MoveNode() function takes the node from the front of the
source, and move it to the front of the dest.
It is an error to call this with the source list empty.
Before calling MoveNode():
source == {1, 2, 3}
dest == {1, 2, 3}
After calling MoveNode():
source == {2, 3}
dest == {1, 1, 2, 3} */
void MoveNode( struct Node** destRef, struct Node** sourceRef)
{
/* the front source node  */
struct Node* newNode = *sourceRef;
assert (newNode != NULL);
/* Advance the source pointer */
*sourceRef = newNode->next;
/* Link the old dest off the new node */
newNode->next = *destRef;
/* Move dest to point to the new node */
*destRef = newNode;
}
/* Function to insert a node at the beginning of the
linked list */
void push( struct Node** head_ref, int new_data)
{
/* allocate node */
struct Node* new_node =
( struct Node*) malloc ( sizeof ( struct Node));
/* put in the data  */
new_node->data  = new_data;
/* link the old list off the new node */
new_node->next = (*head_ref);
/* move the head to point to the new node */
(*head_ref)    = new_node;
}
/* Function to print nodes in a given linked list */
void printList( struct Node *node)
{
while (node!=NULL)
{
printf ( "%d " , node->data);
node = node->next;
}
}
/* Driver program to test above functions*/
int main()
{
/* Start with the empty list */
struct Node* res = NULL;
struct Node* a = NULL;
struct Node* b = NULL;
/* Let us create two sorted linked lists to test
the functions
Created lists, a: 5->10->15,  b: 2->3->20 */
push(&a, 15);
push(&a, 10);
push(&a, 5);
push(&b, 20);
push(&b, 3);
push(&b, 2);
/* Remove duplicates from linked list */
res = SortedMerge(a, b);
printf ( "Merged Linked List is: " );
printList(res);
return 0;
}


JAVA

/* Java program to merge two
sorted linked lists */
import java.util.*;
/* Link list node */
class Node
{
int data;
Node next;
Node( int d) {data = d;
next = null ;}
}
class MergeLists
{
Node head;
/* Method to insert a node at
the end of the linked list */
public void addToTheLast(Node node)
{
if (head == null )
{
head = node;
}
else
{
Node temp = head;
while (temp.next != null )
temp = temp.next;
temp.next = node;
}
}
/* Method to print linked list */
void printList()
{
Node temp = head;
while (temp != null )
{
System.out.print(temp.data + " " );
temp = temp.next;
}
System.out.println();
}
// Driver Code
public static void main(String args[])
{
/* Let us create two sorted linked
lists to test the methods
Created lists:
llist1: 5->10->15,
llist2: 2->3->20
*/
MergeLists llist1 = new MergeLists();
MergeLists llist2 = new MergeLists();
// Node head1 = new Node(5);
llist1.addToTheLast( new Node( 5 ));
llist1.addToTheLast( new Node( 10 ));
llist1.addToTheLast( new Node( 15 ));
// Node head2 = new Node(2);
llist2.addToTheLast( new Node( 2 ));
llist2.addToTheLast( new Node( 3 ));
llist2.addToTheLast( new Node( 20 ));
llist1.head = new Gfg().sortedMerge(llist1.head,
llist2.head);
llist1.printList();
}
}
class Gfg
{
/* Takes two lists sorted in
increasing order, and splices
their nodes together to make
one big sorted list which is
returned. */
Node sortedMerge(Node headA, Node headB)
{
/* a dummy first node to
hang the result on */
Node dummyNode = new Node( 0 );
/* tail points to the
last result node */
Node tail = dummyNode;
while ( true )
{
/* if either list runs out,
use the other list */
if (headA == null )
{
tail.next = headB;
break ;
}
if (headB == null )
{
tail.next = headA;
break ;
}
/* Compare the data of the two
lists whichever lists' data is
smaller, append it into tail and
advance the head to the next Node
*/
if (headA.data <= headB.data)
{
tail.next = headA;
headA = headA.next;
}
else
{
tail.next = headB;
headB = headB.next;
}
/* Advance the tail */
tail = tail.next;
}
return dummyNode.next;
}
}
// This code is contributed
// by Shubhaw Kumar


蟒蛇3

""" Python program to merge two
sorted linked lists """
# Linked List Node
class Node:
def __init__( self , data):
self .data = data
self . next = None
# Create & Handle List operations
class LinkedList:
def __init__( self ):
self .head = None
# Method to display the list
def printList( self ):
temp = self .head
while temp:
print (temp.data, end = " " )
temp = temp. next
# Method to add element to list
def addToList( self , newData):
newNode = Node(newData)
if self .head is None :
self .head = newNode
return
last = self .head
while last. next :
last = last. next
last. next = newNode
# Function to merge the lists
# Takes two lists which are sorted
# joins them to get a single sorted list
def mergeLists(headA, headB):
# A dummy node to store the result
dummyNode = Node( 0 )
# Tail stores the last node
tail = dummyNode
while True :
# If any of the list gets completely empty
# directly join all the elements of the other list
if headA is None :
tail. next = headB
break
if headB is None :
tail. next = headA
break
# Compare the data of the lists and whichever is smaller is
# appended to the last of the merged list and the head is changed
if headA.data < = headB.data:
tail. next = headA
headA = headA. next
else :
tail. next = headB
headB = headB. next
# Advance the tail
tail = tail. next
# Returns the head of the merged list
return dummyNode. next
# Create 2 lists
listA = LinkedList()
listB = LinkedList()
# Add elements to the list in sorted order
listA.addToList( 5 )
listA.addToList( 10 )
listA.addToList( 15 )
listB.addToList( 2 )
listB.addToList( 3 )
listB.addToList( 20 )
# Call the merge function
listA.head = mergeLists(listA.head, listB.head)
# Display merged list
print ( "Merged Linked List is:" )
listA.printList()
""" This code is contributed
by Debidutta Rath """


C#

/* C# program to merge two
sorted linked lists */
using System;
/* Link list node */
public class Node
{
public int data;
public Node next;
public Node( int d)
{
data = d;
next = null ;
}
}
public class MergeLists
{
Node head;
/* Method to insert a node at
the end of the linked list */
public void addToTheLast(Node node)
{
if (head == null )
{
head = node;
}
else
{
Node temp = head;
while (temp.next != null )
temp = temp.next;
temp.next = node;
}
}
/* Method to print linked list */
void printList()
{
Node temp = head;
while (temp != null )
{
Console.Write(temp.data + " " );
temp = temp.next;
}
Console.WriteLine();
}
// Driver Code
public static void Main(String []args)
{
/* Let us create two sorted linked
lists to test the methods
Created lists:
llist1: 5->10->15,
llist2: 2->3->20
*/
MergeLists llist1 = new MergeLists();
MergeLists llist2 = new MergeLists();
// Node head1 = new Node(5);
llist1.addToTheLast( new Node(5));
llist1.addToTheLast( new Node(10));
llist1.addToTheLast( new Node(15));
// Node head2 = new Node(2);
llist2.addToTheLast( new Node(2));
llist2.addToTheLast( new Node(3));
llist2.addToTheLast( new Node(20));
llist1.head = new Gfg().sortedMerge(llist1.head,
llist2.head);
llist1.printList();
}
}
public class Gfg
{
/* Takes two lists sorted in
increasing order, and splices
their nodes together to make
one big sorted list which is
returned. */
public Node sortedMerge(Node headA, Node headB)
{
/* a dummy first node to
hang the result on */
Node dummyNode = new Node(0);
/* tail points to the
last result node */
Node tail = dummyNode;
while ( true )
{
/* if either list runs out,
use the other list */
if (headA == null )
{
tail.next = headB;
break ;
}
if (headB == null )
{
tail.next = headA;
break ;
}
/* Compare the data of the two
lists whichever lists' data is
smaller, append it into tail and
advance the head to the next Node
*/
if (headA.data <= headB.data)
{
tail.next = headA;
headA = headA.next;
}
else
{
tail.next = headB;
headB = headB.next;
}
/* Advance the tail */
tail = tail.next;
}
return dummyNode.next;
}
}
// This code is contributed 29AjayKumar


Javascript

<script>
class Node
{
constructor(d)
{
this .data=d;
this .next = null ;
}
}
class LinkedList
{
constructor()
{
this .head= null ;
}
addToTheLast(node)
{
if ( this .head == null )
{
this .head = node;
}
else
{
let temp = this .head;
while (temp.next != null )
temp = temp.next;
temp.next = node;
}
}
printList()
{
let temp = this .head;
while (temp != null )
{
document.write(temp.data + " " );
temp = temp.next;
}
document.write( "<br>" );
}
}
function sortedMerge(headA,headB)
{
/* a dummy first node to
hang the result on */
let dummyNode = new Node(0);
/* tail points to the
last result node */
let tail = dummyNode;
while ( true )
{
/* if either list runs out,
use the other list */
if (headA == null )
{
tail.next = headB;
break ;
}
if (headB == null )
{
tail.next = headA;
break ;
}
/* Compare the data of the two
lists whichever lists' data is
smaller, append it into tail and
advance the head to the next Node
*/
if (headA.data <= headB.data)
{
tail.next = headA;
headA = headA.next;
}
else
{
tail.next = headB;
headB = headB.next;
}
/* Advance the tail */
tail = tail.next;
}
return dummyNode.next;
}
/* Let us create two sorted linked
lists to test the methods
Created lists:
llist1: 5->10->15,
llist2: 2->3->20
*/
let llist1 = new LinkedList();
let llist2 = new LinkedList();
// Node head1 = new Node(5);
llist1.addToTheLast( new Node(5));
llist1.addToTheLast( new Node(10));
llist1.addToTheLast( new Node(15));
// Node head2 = new Node(2);
llist2.addToTheLast( new Node(2));
llist2.addToTheLast( new Node(3));
llist2.addToTheLast( new Node(20));
llist1.head = sortedMerge(llist1.head,
llist2.head);
document.write( "Merged Linked List is:<br>" )
llist1.printList();
// This code is contributed by patel2127
</script>


输出:

Merged Linked List is: 
2 3 5 10 15 20

方法2(使用本地参考) 该解决方案在结构上与上述非常相似,但它避免使用虚拟节点。相反,它维护一个结构节点**指针lastprref,该指针始终指向结果列表的最后一个指针。这解决了与虚拟节点相同的情况,即在结果列表为空时处理结果列表。如果您试图在其尾部建立一个列表,可以使用虚拟节点或结构节点**“引用”策略(有关详细信息,请参见第1节)。

C++14

Node* SortedMerge(Node* a, Node* b)
{
Node* result = NULL;
/* point to the last result pointer */
Node** lastPtrRef = &result;
while (1)
{
if (a == NULL)
{
*lastPtrRef = b;
break ;
}
else if (b==NULL)
{
*lastPtrRef = a;
break ;
}
if (a->data <= b->data)
{
MoveNode(lastPtrRef, &a);
}
else
{
MoveNode(lastPtrRef, &b);
}
/* tricky: advance to point to the next ".next" field */
lastPtrRef = &((*lastPtrRef)->next);
}
return (result);
}
//This code is contributed by rathbhupendra


C

struct Node* SortedMerge( struct Node* a, struct Node* b)
{
struct Node* result = NULL;
/* point to the last result pointer */
struct Node** lastPtrRef = &result;
while (1)
{
if (a == NULL)
{
*lastPtrRef = b;
break ;
}
else if (b==NULL)
{
*lastPtrRef = a;
break ;
}
if (a->data <= b->data)
{
MoveNode(lastPtrRef, &a);
}
else
{
MoveNode(lastPtrRef, &b);
}
/* tricky: advance to point to the next ".next" field */
lastPtrRef = &((*lastPtrRef)->next);
}
return (result);
}


JAVA

Node SortedMerge(Node a, Node b)
{
Node result = null ;
/* point to the last result pointer */
Node lastPtrRef = result;
while ( 1 )
{
if (a == null )
{
lastPtrRef = b;
break ;
}
else if (b== null )
{
lastPtrRef = a;
break ;
}
if (a.data <= b.data)
{
MoveNode(lastPtrRef, a);
}
else
{
MoveNode(lastPtrRef, b);
}
/* tricky: advance to point to the next ".next" field */
lastPtrRef = ((lastPtrRef).next);
}
return (result);
}
// This code contributed by umadevi9616


蟒蛇3

def SortedMerge( a,  b):
result = None ;
''' point to the last result pointer '''
lastPtrRef = result;
while ( 1 ):
if (a = = None ):
lastPtrRef = b;
break ;
elif (b = = None ):
lastPtrRef = a;
break ;
if (a.data < = b.data):
MoveNode(lastPtrRef, a);
else :
MoveNode(lastPtrRef, b);
''' tricky: advance to point to the next ".next" field '''
lastPtrRef = ((lastPtrRef). next );
return (result);
# This code is contributed by umadevi9616


C#

Node SortedMerge(Node a, Node b)
{
Node result = null ;
// Point to the last result pointer
Node lastPtrRef = result;
while (1)
{
if (a == null )
{
lastPtrRef = b;
break ;
}
else if (b == null )
{
lastPtrRef = a;
break ;
}
if (a.data <= b.data)
{
MoveNode(lastPtrRef, a);
}
else
{
MoveNode(lastPtrRef, b);
}
// tricky: advance to point to
// the next ".next" field
lastPtrRef = ((lastPtrRef).next);
}
return (result);
}
// This code is contributed by gauravrajput1


Javascript

<script>
function SortedMerge(a,b)
{
let result = null ;
/* point to the last result pointer */
let lastPtrRef = result;
while (1)
{
if (a == null )
{
lastPtrRef = b;
break ;
}
else if (b== null )
{
lastPtrRef = a;
break ;
}
if (a.data <= b.data)
{
MoveNode(lastPtrRef, a);
}
else
{
MoveNode(lastPtrRef, b);
}
/* tricky: advance to point to the next ".next" field */
lastPtrRef = ((lastPtrRef).next);
}
return (result);
}
// This code is contributed by rag2127
</script>


方法3(使用递归) 合并是一个很好的递归问题,其中递归解决方案代码比迭代代码干净得多。但是,您可能不想对生产代码使用递归版本,因为它将使用与列表长度成比例的堆栈空间。

C++

Node* SortedMerge(Node* a, Node* b)
{
Node* result = NULL;
/* Base cases */
if (a == NULL)
return (b);
else if (b == NULL)
return (a);
/* Pick either a or b, and recur */
if (a->data <= b->data)
{
result = a;
result->next = SortedMerge(a->next, b);
}
else
{
result = b;
result->next = SortedMerge(a, b->next);
}
return (result);
}
// This code is contributed by rathbhupendra


C

struct Node* SortedMerge( struct Node* a, struct Node* b)
{
struct Node* result = NULL;
/* Base cases */
if (a == NULL)
return (b);
else if (b==NULL)
return (a);
/* Pick either a or b, and recur */
if (a->data <= b->data)
{
result = a;
result->next = SortedMerge(a->next, b);
}
else
{
result = b;
result->next = SortedMerge(a, b->next);
}
return (result);
}


JAVA

class GFG
{
public Node SortedMerge(Node A, Node B)
{
if (A == null ) return B;
if (B == null ) return A;
if (A.data < B.data)
{
A.next = SortedMerge(A.next, B);
return A;
}
else
{
B.next = SortedMerge(A, B.next);
return B;
}
}
}
// This code is contributed by Tuhin Das


蟒蛇3

# Python3 program merge two sorted linked
# in third linked list using recursive.
# Node class
class Node:
def __init__( self , data):
self .data = data
self . next = None
# Constructor to initialize the node object
class LinkedList:
# Function to initialize head
def __init__( self ):
self .head = None
# Method to print linked list
def printList( self ):
temp = self .head
while temp :
print (temp.data, end = "->" )
temp = temp. next
# Function to add of node at the end.
def append( self , new_data):
new_node = Node(new_data)
if self .head is None :
self .head = new_node
return
last = self .head
while last. next :
last = last. next
last. next = new_node
# Function to merge two sorted linked list.
def mergeLists(head1, head2):
# create a temp node NULL
temp = None
# List1 is empty then return List2
if head1 is None :
return head2
# if List2 is empty then return List1
if head2 is None :
return head1
# If List1's data is smaller or
# equal to List2's data
if head1.data < = head2.data:
# assign temp to List1's data
temp = head1
# Again check List1's data is smaller or equal List2's
# data and call mergeLists function.
temp. next = mergeLists(head1. next , head2)
else :
# If List2's data is greater than or equal List1's
# data assign temp to head2
temp = head2
# Again check List2's data is greater or equal List's
# data and call mergeLists function.
temp. next = mergeLists(head1, head2. next )
# return the temp list.
return temp
# Driver Function
if __name__ = = '__main__' :
# Create linked list :
# 10->20->30->40->50
list1 = LinkedList()
list1.append( 10 )
list1.append( 20 )
list1.append( 30 )
list1.append( 40 )
list1.append( 50 )
# Create linked list 2 :
# 5->15->18->35->60
list2 = LinkedList()
list2.append( 5 )
list2.append( 15 )
list2.append( 18 )
list2.append( 35 )
list2.append( 60 )
# Create linked list 3
list3 = LinkedList()
# Merging linked list 1 and linked list 2
# in linked list 3
list3.head = mergeLists(list1.head, list2.head)
print ( " Merged Linked List is : " , end = "")
list3.printList()
# This code is contributed by 'Shriaknt13'.


C#

using System;
class GFG{
public Node sortedMerge(Node A, Node B)
{
// Base cases
if (A == null )
return B;
if (B == null )
return A;
// Pick either a or b, and recur
if (A.data < B.data)
{
A.next = sortedMerge(A.next, B);
return A;
}
else
{
B.next = sortedMerge(A, B.next);
return B;
}
}
}
// This code is contributed by hunter2000


Javascript

<script>
function SortedMerge( A,  B) {
if (A == null )
return B;
if (B == null )
return A;
if (A.data < B.data) {
A.next = SortedMerge(A.next, B);
return A;
} else {
B.next = SortedMerge(A, B.next);
return B;
}
}
// This code contributed by umadevi9616
</script>


时间复杂性: 因为我们正在全面浏览这两个列表。所以,时间复杂度是 O(m+n) 其中m和n是要合并的两个列表的长度。

方法4(颠倒列表)

这个想法首先涉及 颠倒 两个给定的列表和反转后,遍历两个列表直到结束,然后比较两个列表的节点,并在结果列表的开头插入具有较大值的节点。通过这种方式,我们将以递增的顺序得到结果列表。

1) Initialize result list as empty: head = NULL.
2) Let 'a' and 'b' be the heads of first and second list respectively.
3) Reverse both the lists.
4) While (a != NULL and b != NULL)
    a) Find the larger of two (Current 'a' and 'b')
    b) Insert the larger value of node at the front of result list.
    c) Move ahead in the list of larger node. 
5) If 'b' becomes NULL before 'a', insert all nodes of 'a' 
   into result list at the beginning.
6) If 'a' becomes NULL before 'b', insert all nodes of 'b' 
   into result list at the beginning.  

下面是上述解决方案的实现。

C++

/*Given two sorted linked lists consisting of N and M nodes
respectively. The task is to merge both of the list
(in-place) and return head of the merged list.*/
#include <iostream>
using namespace std;
/* Link list Node */
struct Node {
int key;
struct Node* next;
};
// Function to reverse a given Linked List using Recursion
Node* reverseList(Node* head)
{
if (head->next == NULL)
return head;
Node* rest = reverseList(head->next);
head->next->next = head;
head->next = NULL;
return rest;
}
// Given two non-empty linked lists 'a' and 'b'
Node* sortedMerge(Node* a, Node* b)
{
// Reverse Linked List 'a'
a = reverseList(a);
// Reverse Linked List 'b'
b = reverseList(b);
// Initialize head of resultant list
Node* head = NULL;
Node* temp;
// Traverse both lists while both of them
// have nodes.
while (a != NULL && b != NULL) {
// If a's current value is greater than or equal to
// b's current value.
if (a->key >= b->key) {
// Store next of current Node in first list
temp = a->next;
// Add 'a' at the front of resultant list
a->next = head;
// Make 'a' - head of the result list
head = a;
// Move ahead in first list
a = temp;
}
// If b's value is greater. Below steps are similar
// to above (Only 'a' is replaced with 'b')
else {
temp = b->next;
b->next = head;
head = b;
b = temp;
}
}
// If second list reached end, but first list has
// nodes. Add remaining nodes of first list at the
// beginning of result list
while (a != NULL) {
temp = a->next;
a->next = head;
head = a;
a = temp;
}
// If first list reached end, but second list has
// nodes. Add remaining nodes of second list at the
// beginning of result list
while (b != NULL) {
temp = b->next;
b->next = head;
head = b;
b = temp;
}
// Return the head of the result list
return head;
}
/* Function to print Nodes in a given linked list */
void printList( struct Node* Node)
{
while (Node != NULL) {
cout << Node->key << " " ;
Node = Node->next;
}
}
/* Utility function to create a new node with
given key */
Node* newNode( int key)
{
Node* temp = new Node;
temp->key = key;
temp->next = NULL;
return temp;
}
/* Driver program to test above functions*/
int main()
{
/* Start with the empty list */
struct Node* res = NULL;
/* Let us create two sorted linked lists to test
the above functions. Created lists shall be
a: 5->10->15->40
b: 2->3->20  */
Node* a = newNode(5);
a->next = newNode(10);
a->next->next = newNode(15);
a->next->next->next = newNode(40);
Node* b = newNode(2);
b->next = newNode(3);
b->next->next = newNode(20);
cout << "List A before merge: " ;
printList(a);
cout << "List B before merge: " ;
printList(b);
/* merge 2 sorted Linked Lists */
res = sortedMerge(a, b);
cout << "Merged Linked List is: " ;
printList(res);
return 0;
}


JAVA

/*Given two sorted linked lists consisting of N and M nodes
respectively. The task is to merge both of the list
(in-place) and return head of the merged list.*/
import java.util.*;
class GFG{
/* Link list Node */
static class Node {
int key;
Node next;
};
// Function to reverse a given Linked List using Recursion
static Node reverseList(Node head)
{
if (head.next == null )
return head;
Node rest = reverseList(head.next);
head.next.next = head;
head.next = null ;
return rest;
}
// Given two non-empty linked lists 'a' and 'b'
static Node sortedMerge(Node a, Node b)
{
// Reverse Linked List 'a'
a = reverseList(a);
// Reverse Linked List 'b'
b = reverseList(b);
// Initialize head of resultant list
Node head = null ;
Node temp;
// Traverse both lists while both of them
// have nodes.
while (a != null && b != null ) {
// If a's current value is greater than or equal to
// b's current value.
if (a.key >= b.key) {
// Store next of current Node in first list
temp = a.next;
// Add 'a' at the front of resultant list
a.next = head;
// Make 'a' - head of the result list
head = a;
// Move ahead in first list
a = temp;
}
// If b's value is greater. Below steps are similar
// to above (Only 'a' is replaced with 'b')
else {
temp = b.next;
b.next = head;
head = b;
b = temp;
}
}
// If second list reached end, but first list has
// nodes. Add remaining nodes of first list at the
// beginning of result list
while (a != null ) {
temp = a.next;
a.next = head;
head = a;
a = temp;
}
// If first list reached end, but second list has
// nodes. Add remaining nodes of second list at the
// beginning of result list
while (b != null ) {
temp = b.next;
b.next = head;
head = b;
b = temp;
}
// Return the head of the result list
return head;
}
/* Function to print Nodes in a given linked list */
static void printList(Node Node)
{
while (Node != null ) {
System.out.print(Node.key+ " " );
Node = Node.next;
}
}
/* Utility function to create a new node with
given key */
static Node newNode( int key)
{
Node temp = new Node();
temp.key = key;
temp.next = null ;
return temp;
}
/* Driver program to test above functions*/
public static void main(String[] args)
{
/* Start with the empty list */
Node res = null ;
/* Let us create two sorted linked lists to test
the above functions. Created lists shall be
a: 5.10.15.40
b: 2.3.20  */
Node a = newNode( 5 );
a.next = newNode( 10 );
a.next.next = newNode( 15 );
a.next.next.next = newNode( 40 );
Node b = newNode( 2 );
b.next = newNode( 3 );
b.next.next = newNode( 20 );
System.out.print( "List A before merge: " );
printList(a);
System.out.print( "List B before merge: " );
printList(b);
/* merge 2 sorted Linked Lists */
res = sortedMerge(a, b);
System.out.print( "Merged Linked List is: " );
printList(res);
}
}
// This code is contributed by umadevi9616


C#

/*Given two sorted linked lists consisting of N and M nodes
respectively. The task is to merge both of the list
(in-place) and return head of the merged list.*/
using System;
using System.Collections.Generic;
public class GFG{
/* Link list Node */
public class Node {
public int key;
public Node next;
};
// Function to reverse a given Linked List using Recursion
static Node reverseList(Node head)
{
if (head.next == null )
return head;
Node rest = reverseList(head.next);
head.next.next = head;
head.next = null ;
return rest;
}
// Given two non-empty linked lists 'a' and 'b'
static Node sortedMerge(Node a, Node b)
{
// Reverse Linked List 'a'
a = reverseList(a);
// Reverse Linked List 'b'
b = reverseList(b);
// Initialize head of resultant list
Node head = null ;
Node temp;
// Traverse both lists while both of them
// have nodes.
while (a != null && b != null ) {
// If a's current value is greater than or equal to
// b's current value.
if (a.key >= b.key) {
// Store next of current Node in first list
temp = a.next;
// Add 'a' at the front of resultant list
a.next = head;
// Make 'a' - head of the result list
head = a;
// Move ahead in first list
a = temp;
}
// If b's value is greater. Below steps are similar
// to above (Only 'a' is replaced with 'b')
else {
temp = b.next;
b.next = head;
head = b;
b = temp;
}
}
// If second list reached end, but first list has
// nodes. Add remaining nodes of first list at the
// beginning of result list
while (a != null ) {
temp = a.next;
a.next = head;
head = a;
a = temp;
}
// If first list reached end, but second list has
// nodes. Add remaining nodes of second list at the
// beginning of result list
while (b != null ) {
temp = b.next;
b.next = head;
head = b;
b = temp;
}
// Return the head of the result list
return head;
}
/* Function to print Nodes in a given linked list */
static void printList(Node Node)
{
while (Node != null ) {
Console.Write(Node.key+ " " );
Node = Node.next;
}
}
/* Utility function to create a new node with
given key */
static Node newNode( int key)
{
Node temp = new Node();
temp.key = key;
temp.next = null ;
return temp;
}
/* Driver program to test above functions*/
public static void Main(String[] args)
{
/* Start with the empty list */
Node res = null ;
/* Let us create two sorted linked lists to test
the above functions. Created lists shall be
a: 5.10.15.40
b: 2.3.20  */
Node a = newNode(5);
a.next = newNode(10);
a.next.next = newNode(15);
a.next.next.next = newNode(40);
Node b = newNode(2);
b.next = newNode(3);
b.next.next = newNode(20);
Console.Write( "List A before merge: " );
printList(a);
Console.Write( "List B before merge: " );
printList(b);
/* merge 2 sorted Linked Lists */
res = sortedMerge(a, b);
Console.Write( "Merged Linked List is: " );
printList(res);
}
}
// This code is contributed by umadevi9616


输出:

List A before merge: 
5 10 15 40 
List B before merge: 
2 3 20 
Merged Linked List is: 
2 3 5 10 15 20 40 

时间复杂性: 因为我们正在全面浏览这两个列表。所以,时间复杂度是O(m+n),其中m和n是要合并的两个列表的长度。

这种方法是由 梅胡尔·马图尔(mathurmehul01) .

这个想法类似于 邮递

有关更简单的实现,请参阅以下帖子: 合并两个已排序列表(就地) 资料来源: http://cslibrary.stanford.edu/105/LinkedListProblems.pdf 如果您发现上述代码/算法不正确,请写评论,或者找到更好的方法来解决相同的问题。

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