Range Maximum Index Query | Part 1 | Segment Tree Concepts & Qns | Video 9 | codestorywithMIK
89iPad PDF NOTES - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/iPad PDF Notes/Range Maximum Index Query - Segment Tree.pdf
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This is the 9th Video of our Playlist "Segment Tree Concepts & Qns" by codestorywithMIK
We already covered Range Minimum/Maximum Query in the video-6 of this playlist.
Video-6 - Range Minimum Query - • Range Minimum Query | Segment Tree Co...
Today we will be covering another very good concept of which this is going to be Part-1. In this video, we will see how to find the index of maximum element for different range queries.
In Part-2, we will spice things up and build our base for a very good leetcode problem which will come once we are done with Part-2 (after this video).
I will explain the intuition so easily that you will never forget and start seeing this as cakewalk EASYYY.
We will do live coding after explanation and see if we are able to pass all the test cases.
Also, please note that my Github solution link below contains both C++ as well as JAVA code.
Problem Name : Range Maximum Index Query | Part 1 | Segment Tree Concepts & Qns | Video 9 | codestorywithMIK
Company Tags : will update later
My solutions on Github(C++ & JAVA) : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Segment Tree/Range Maximum Index Query.cpp
Leetcode Link : NIL
My DP Concepts Playlist : • Roadmap for DP | How to Start DP ? | ...
My Graph Concepts Playlist : • Graph Concepts & Qns - 1 : Graph will...
My Segment Tree Concepts Playlist : • Segment Tree | Introduction | Basics ...
My Recursion Concepts Playlist : • Introduction | Recursion Concepts And...
My GitHub Repo for interview preparation : https://github.com/MAZHARMIK/Interview_DS_Algo
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Video Summary :
The solution uses a Segment Tree to efficiently answer Range Maximum Index Queries (RMIQ). The tree stores indices of the maximum elements in subarrays. It is built recursively, where each node stores the index of the maximum element in its range. For each query, the tree is traversed to find the index of the maximum element in the specified range, with each query answered in O(log n) time. This allows for fast processing of multiple range queries after an initial O(n) preprocessing time.
✨ Timelines✨
00:00 - Introduction
0:38 - Motivation
2:47 - Recap of What is RMQ (Range Maximum Query) ?
9:50 - Range Maximum Index Query Code from RMQ
33:44 - Time & Space Complexity
34:00 - Ending
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