Easy Problem on Hashing
- Find whether an array is subset of another array
- Union and Intersection of two linked lists
- Given an array A[] and a number x, check for pair in A[] with sum as x
- Maximum distance between two occurrences of same element in array
- Count maximum points on same line
- Most frequent element in an array
- Find the only repetitive element between 1 to n-1
- How to check if two given sets are disjoint?
- Non-overlapping sum of two sets
- Check if two arrays are equal or not
- Find missing elements of a range
- Minimum number of subsets with distinct elements
- Remove minimum number of elements such that no common element exist in both array
- Find pairs with given sum such that elements of pair are in different rows
- Count pairs with given sum
- Count quadruples from four sorted arrays whose sum is equal to a given value x
- Sort elements by frequency
- Find all pairs (a, b) in an array such that a % b = k
- Group words with same set of characters
- k-th distinct (or non-repeating) element in an array.
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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