Medium Problem on Hashing
- Find Itinerary from a given list of tickets
- Find number of Employees Under every Employee
- Longest subarray with sum divisible by k
- Find the largest subarray with 0 sum
- Longest Increasing consecutive subsequence
- Count distinct elements in every window of size k
- Design a data structure that supports insert, delete, search and getRandom in constant time
- Find subarray with given sum | Set 2 (Handles Negative Numbers)
- Implementing our Own Hash Table with Separate Chaining in Java
- Implementing own Hash Table with Open Addressing Linear Probing in C++
- Minimum insertions to form a palindrome with permutations allowed
- Maximum possible difference of two subsets of an array
- Sorting using trivial hash function
- Smallest subarray with k distinct numbers
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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