Hard Problem on Hashing
- Clone a Binary Tree with Random Pointers
- Largest subarray with equal number of 0s and 1s
- All unique triplets that sum up to a given value
- Palindrome Substring Queries
- Range Queries for Frequencies of array elements
- Elements to be added so that all elements of a range are present in array
- Cuckoo Hashing – Worst case O(1) Lookup!
- Count subarrays having total distinct elements same as original array
- Maximum array from two given arrays keeping order same
- Find Sum of all unique sub-array sum for a given array.
- Recaman’s sequence
- Length of longest strict bitonic subsequence
- Find All Duplicate Subtrees
- Find if there is a rectangle in binary matrix with corners as 1
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Hashing in Data Structure
Hashing is a fundamental data structure that efficiently stores and retrieves data in a way that allows for quick access. It involves mapping data to a specific index in a hash table using a hash function that enables fast retrieval of information based on its key. This method is commonly used in databases, caching systems, and various programming applications to optimize search and retrieval operations.
Table of Content
- What is Hashing in Data Structure?
- Hash Table in Data Structure
- Hash Function
- What is a Hash Collision?
- Collision Resolution Techniques
- Applications of Hashing
- Basics of Hashing in Data Structure
- Easy Problem on Hashing
- Medium Problem on Hashing
- Hard Problem on Hashing
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