✅Day 55 | LeetCode 2092. Find All People With Secret

🌟 Welcome to the Problem-Solving Adventure with Code Optimization! 🚀

Join us on an exhilarating journey as we explore the world of algorithmic optimization techniques and data structure mastery! In today's coding quest, we delve into the realm of disjoint-set union (DSU) and efficient group finding algorithms. Brace yourself for an adventure filled with code optimization strategies and algorithmic insights.

🎯 Problem Overview:

In this thrilling challenge, we are tasked with finding all the people attending meetings with a specific individual, the first person. Given a set of meetings represented as intervals and the index of the first person, our goal is to identify all the individuals who attend meetings alongside the first person.

🚀 Algorithm Breakdown:

We employ the powerful technique of disjoint-set union (DSU) to efficiently manage group relationships among individuals attending meetings.
We initialize the DSU data structure and sort the meetings based on their ending times for optimized processing.
Iterating through the sorted meetings, we update the group memberships of attendees based on their interactions.
We meticulously identify all individuals who attend meetings alongside the first person, ensuring accuracy and efficiency in our computations.
📊 Complexity Analysis:

Time Complexity: O(N log N), where N represents the number of meetings. The complexity arises from sorting the meetings based on their ending times.
Space Complexity: O(N), where N is the number of individuals. Additional space is used for the DSU data structure and temporary storage.
Get ready to embark on a coding adventure where optimization meets algorithmic brilliance! Dive deep into the intricacies of data structures and algorithmic strategies as we unravel the solution together. 🔗✨

Tags: #codingadventure #algorithmicoptimization #disjointsetunion #codingtutorial #programminglogic #meetinganalysis #groupfinding #algorithmexplained #codeoptimization