Given a linked list containing N nodes and a positive integer k should be less than or equal to N. The task is to print the last k nodes of the list in reverse order.
Examples:
Input: list: 1->2->3->4->5, k = 2
Output: 5 4
Input: list: 3->10->6->9->12->2->8, k = 4
Output: 8 2 12 9
Source: Amazon Interview Experience SDE Off Campus.
Recursive Approach: Recursively traverse the linked list. When returning from each recursive call keep track of the node number, considering the last node as number 1, second last as number 2 and so on. This counting could be tracked with the help of a global or pointer variable. With the help of this count variable, print the nodes having a node number less than or equal to k.
Below is the implementation of the above approach:
C++
#include <bits/stdc++.h>
using namespace std;
struct Node {
int data;
Node* next;
};
Node* getNode( int data)
{
Node* newNode = new Node;
newNode->data = data;
newNode->next = NULL;
return newNode;
}
void printLastKRev(Node* head,
int & count, int k)
{
if (!head)
return ;
printLastKRev(head->next, count, k);
count++;
if (count <= k)
cout << head->data << " " ;
}
int main()
{
Node* head = getNode(1);
head->next = getNode(2);
head->next->next = getNode(3);
head->next->next->next = getNode(4);
head->next->next->next->next = getNode(5);
int k = 4, count = 0;
printLastKRev(head, count, k);
return 0;
}
|
Java
class GfG
{
static class Node
{
int data;
Node next;
}
static Node getNode( int data)
{
Node newNode = new Node();
newNode.data = data;
newNode.next = null ;
return newNode;
}
static class C
{
int count = 0 ;
}
static void printLastKRev(Node head, C c, int k)
{
if (head == null )
return ;
printLastKRev(head.next, c, k);
c.count++;
if (c.count <= k)
System.out.print(head.data + " " );
}
public static void main(String[] args)
{
Node head = getNode( 1 );
head.next = getNode( 2 );
head.next.next = getNode( 3 );
head.next.next.next = getNode( 4 );
head.next.next.next.next = getNode( 5 );
int k = 4 ;
C c = new C();
printLastKRev(head, c, k);
}
}
|
Python
class Node:
def __init__( self , data):
self .data = data
self . next = None
def getNode(data):
newNode = Node( 0 )
newNode.data = data
newNode. next = None
return newNode
class C:
def __init__( self , data):
self .count = data
def printLastKRev(head, c, k):
if (head = = None ):
return
printLastKRev(head. next , c, k)
c.count = c.count + 1
if (c.count < = k) :
print (head.data, end = " " )
head = getNode( 1 )
head. next = getNode( 2 )
head. next . next = getNode( 3 )
head. next . next . next = getNode( 4 )
head. next . next . next . next = getNode( 5 )
k = 4
c = C( 0 )
printLastKRev(head, c, k)
|
C#
using System;
class GFG
{
public class Node
{
public int data;
public Node next;
}
static Node getNode( int data)
{
Node newNode = new Node();
newNode.data = data;
newNode.next = null ;
return newNode;
}
public class C
{
public int count = 0;
}
static void printLastKRev(Node head, C c, int k)
{
if (head == null )
return ;
printLastKRev(head.next, c, k);
c.count++;
if (c.count <= k)
Console.Write(head.data + " " );
}
public static void Main(String []args)
{
Node head = getNode(1);
head.next = getNode(2);
head.next.next = getNode(3);
head.next.next.next = getNode(4);
head.next.next.next.next = getNode(5);
int k = 4;
C c = new C();
printLastKRev(head, c, k);
}
}
|
Javascript
<script>
class Node {
constructor() {
this .data = 0;
this .next = null ;
}
}
function getNode( data)
{
var newNode = new Node();
newNode.data = data;
newNode.next = null ;
return newNode;
}
class C
{
constructor() {
this .count = 0;
}
}
function printLastKRev( head, c, k)
{
if (head == null )
return ;
printLastKRev(head.next, c, k);
c.count++;
if (c.count <= k)
document.write(head.data + " " );
}
var head = getNode(1);
head.next = getNode(2);
head.next.next = getNode(3);
head.next.next.next = getNode(4);
head.next.next.next.next = getNode(5);
let k = 4;
let c = new C();
printLastKRev(head, c, k);
</script>
|
Time Complexity: O(n).
Iterative Approach: The idea is to use Stack Data Structure.
- Push all linked list nodes to a stack.
- Pop k nodes from the stack and print them.
Time Complexity: O(n).
Two Pointer Approach The idea is similar to find k-th node from end of linked list.
- Move first pointer k nodes ahead.
- Now start another pointer, second from head.
- When first pointer reaches end, second pointer points to k-th node.
- Finally using the second pointer, print last k nodes.
Time Complexity: O(n).