Day 9: Doubly Linked Lists - Implementation and Comparison
9/60 Days
Doubly Linked Lists - Implementation and Comparison
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Welcome to Day 9 of our 60 Days of Coding Algorithm Challenge! Today, we’ll explore doubly linked lists, implement one from scratch, and compare it with singly linked lists.
Doubly Linked Lists - Implementation and Comparison
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Welcome to Day 9 of our 60 Days of Coding Algorithm Challenge! Today, we’ll explore doubly linked lists, implement one from scratch, and compare it with singly linked lists.
Implement a Palindrome Checker: Use a doubly linked list to check if a given sequence is a palindrome.
LRU Cache: Implement a Least Recently Used (LRU) cache using a doubly linked list and a hash map.
Flatten a Multilevel Doubly Linked List: Given a doubly linked list where each node might have a child list, flatten it into a single level linked list.
Implement a method insert_after(self, target_data, new_data) that inserts a new node with new_data after the first occurrence of a node with target_data.
Write a method reverse(self) that reverses the doubly linked list in-place.
Implement a method is_palindrome(self) that checks if the doubly linked list is a palindrome.
Today, we explored doubly linked lists, their implementation, and how they compare to singly linked lists. Doubly linked lists offer more flexibility in certain operations at the cost of additional memory usage. Understanding the trade-offs between different data structures is crucial for choosing the right tool for specific problems.
Tomorrow, we’ll dive into more advanced linked list operations and tackle some common interview problems related to linked lists. Stay tuned!
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