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Python program to get the middle element of a linked list, completed in a single iteration

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2023-09-14 11:21:061120browse

Linked lists are used to store data in discrete memory locations. Nodes containing data items are linked using pointers. Each node consists of two fields. The first field is used to store the data and the second field contains the link to the next node.

Brute force cracking technology

To find the middle element of the linked list, the brute force technique is to find the length of the linked list by iterating through the entire linked list until NULL is encountered, then dividing the length by 2 to get the middle element of the linked list's index. After getting the index of the intermediate element, iterate the linked list again from the beginning and stop when the required index is reached. The data item at this index gives the intermediate element.

  • Take a variable named "temp" to point to HEAD and initialize "len" to 0

  • Use temp to iterate through the linked list until NULL is reached, and increment "len" by 1 at each node.

  • After obtaining the length of the linked list, initialize temp to HEAD again. Iterate through the linked list until len//2.

Using slow and fast pointers (single iteration)

We will use two pointers to traverse the linked list. One is called "slow pointer" and the other is called "fast pointer".

The fast pointer moves twice as fast as the slow pointer.

When the fast pointer reaches the end of the linked list, the slow pointer will be at the middle node.

Therefore, we can directly print the contents of the intermediate nodes.

Example

Consider the following list of links. The middle element is 3.

Python program to get the middle element of a linked list, completed in a single iteration

The fast pointer has reached the last node in the linked list, and the slow pointer now points to node 3. Therefore, 3 is the middle element of the given linked list. Now, consider 6 nodes.

Python program to get the middle element of a linked list, completed in a single iteration

Example

The fast pointer has reached NULL, and the slow pointer points to the 4th node. Therefore, the middle element is 4.

algorithm

  • Make "slow" and "fast" point to the HEAD of the linked list.

  • Increase the fast pointer by 2 and the slow pointer by 1 until the fast pointer and fast.next are not equal to NULL

  • Print the value at the slow pointer.

  • The time complexity is O(n).

class Node:
  def __init__(self, val):
      self.val = val
      self.next = None
class LinkedList:
  def __init__(self):
      self.head = None

  def insert_at_the_beginning(self, newVal):
      newNode = Node(newVal)
      newNode.next = self.head
      self.head = newNode
  def print_middle_element(self):
      slow=self.head
      fast=self.head
      while fast is not None and fast.next is not None:
          slow=slow.next      #slow pointer moves one node
          fast=fast.next.next  #fast pointer moves two nodes
      print("\n\nthe middle element is ",slow.val)
  def Print_the_LL(self):
      temp = self.head
      if(temp != None):
        print("The linked list elements are:", end=" ")
        while (temp != None):
          print(temp.val, end=" ")
          temp = temp.next
      else:
        print("The list is empty.")
newList = LinkedList()
newList.insert_at_the_beginning(5)
newList.insert_at_the_beginning(4)
newList.insert_at_the_beginning(3)
newList.insert_at_the_beginning(2)
newList.insert_at_the_beginning(1)
newList.Print_the_LL()
newList.print_middle_element()

Output

The linked list elements are: 1 2 3 4 5 

the middle element is  3

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