Create a list : List Get and Set

The video tutorial explains how to remove nodes from a linked list at different positions: front, middle, and end. It covers the implementation of removal functions, optimization by tracking the list size, and debugging techniques. The tutorial also discusses the Big O notation for linked list operations, emphasizing the difference between having a reference to a node and searching for it.

What are the three main cases to consider when removing nodes from a linked list?

• Start, center, and finish

• Head, body, and tail

• Front, middle, and end

• Beginning, core, and terminal

Why is it important to track the size of a linked list during node removal?

• To avoid unnecessary traversals

• To make the list immutable

• To increase the list size

• To decrease the list size

What is a crucial step to avoid null pointer exceptions when removing the front node?

• Check if the root is not null

• Ensure the list is sorted

• Verify the list is circular

• Confirm the list is doubly linked

When removing a node from the middle, why must you stop at the node before the target?

• To reverse the list

• To insert a new node

• To delete the previous node

• To update the pointer of the previous node

What was the error encountered during the debugging process?

• Incorrect index calculation

• Null pointer exception

• Infinite loop

• Memory leak

How was the error of not incrementing the index resolved?

• By using a different data structure

• By changing the loop condition

• By removing a decrement statement

• By adding an increment statement

What is the time complexity of removing a node when you have a reference to it?

• O(1)

• O(n)

• O(log n)

• O(n^2)

Why does the time complexity become O(n) when you don't have a reference to the node?

• Because the list is immutable

• Because the list is circular

• Because the list is unsorted

• Because you need to search for the node

What is the main advantage of having a reference to a node in a linked list?

• Better memory management

• Faster insertion and deletion

• Easier sorting

• Simpler traversal

What is the key takeaway regarding linked list operations and time complexity?

• Time complexity is always O(1)

• Having a reference to a node is crucial for efficiency

• Linked lists are always faster than arrays

• Linked lists are immutable