INTRODUCTION TO HASHING | Hash Table, Hash Function & Collisions Explained

Описание: In this video, we will learn the basics of hashing in data structures in a simple and easy-to-understand way. Hashing is an important technique used to store and retrieve data efficiently using hash tables and hash functions.

This lecture explains:

What is Hashing

What is a Hash Table

How a Hash Function works

Collision in Hashing

Basic collision handling techniques

Hashing is widely used in databases, caching, password storage, and search algorithms, making it a crucial concept for students learning Data Structures and Algorithms.

This video is helpful for:

BCA / MCA / B.Tech / Computer Science students

Students preparing for interviews and competitive exams

Anyone learning Data Structures and Algorithms

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In this Series " Problem Solving Techniques, " we will discuss most of the basic algorithms and their working with the help of examples.

List of Algorithms which are going to be discussed in the coming sessions are
1. Exchanging the values of two variables
2. Counting
3. Summation of a set of numbers
4. Factorial computation
5. Generating the Fibonacci series
6. Reversing the digits of an integer
7. Character to number conversion
8. Finding square root of a number
9. Finding the smallest divisor of an integer
10. The greatest common divisor of two integers
11. Generation of prime numbers
12. Computing the prime factors of an integer
13. Generation of pseudorandom numbers
14. Raising a number to our largest power
15. Array order reversal
16. Array counting or histograming
17. Finding the maximum number in a set
18. To remove duplicate from an ordered array
19. Partitioning an array
20. Finding the K, the smallest element
21. Multiplication of two matrices
22. Merging
23. Sorting Selection sort
24. sorting by exchange. Bubble sort
25. Sorting by insertion insertion sort
26. Sorting by diminishing increment. Shell sort
27. Sorting by partitioning. Quick sort
28. Linear search
29. Binary search
30. Hash search
31. Text line, length adjustment
32. Keyword searching in text, pattern searching
33. Text line editing
34. Linear pattern searching. KMP, pattern searching algorithm

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#pst
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#sep