Hashing: A Powerful Tool for Faster Algorithm Solutions |
How Hashing Optimizes the Solution for Two Common Problems in Computer Science
Are you tired of inefficient algorithms that take forever to solve basic problems? Look no further than hashing! This powerful tool can optimize your code and make it run much faster.
In this video, I explain how hashing can solve two common problems using an optimized approach.
Problem 1: Pair sum equal to k
The brute force approach to finding pairs in an array that sum up to a given value k involves checking every possible combination of pairs, which can be slow and inefficient. But with the help of hashing, we can solve this problem in linear time.
Problem 2: Finding the number of distinct elements in every window subarray
When you're dealing with an array and you need to count the number of distinct elements in each window subarray, the brute force approach involves iterating through each subarray and counting the number of unique elements in each. However, using a hash table, we can perform this operation in linear time, resulting in a significant speedup.
By leveraging the power of hashing, you can transform your code from slow and inefficient to blazing fast. Watch my video to learn more about how to use hashing to solve these two problems with optimized solutions.
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