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Hi everyone, this is the 20th video of our playlist "Binary Search : Popular Interview Problems".
In this video we will try to solve a problem based on a very famous pattern i.e. Binary Search on Answer : Maximum Running Time of N Computers | Detailed Deep Dive | Dry Run | Leetcode 2141 | MIK

We will do live coding after explanation and see if we are able to pass all the test cases.

Problem Name : Maximum Running Time of N Computers | Detailed Deep Dive | Dry Run | Leetcode 2141 | MIK
Company Tags : GOOGLE
My solutions on Github : https://github.com/MAZHARMIK/Intervie...
Leetcode Link : https://leetcode.com/problems/maximum...


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Video Summary :
Approach-1 (Brute Force – Linear Search):
Start from the maximum possible minutes and check downward one-by-one if all computers can run for that duration. For each minute value, simulate whether the total battery capacity can sustain it. This is simple but very slow because every minute in the range is tested.

Approach-2 (Binary Search on Answer):
Instead of checking every minute, binary search on the possible running time. For each mid value, verify if we can support all n computers for mid minutes using available batteries. This drastically reduces checks and makes the solution efficient.


✨ Timelines✨
00:00 Introduction
00:42 Problem Explanation
06:55 Intuition - Brute Force
14:34 Relating to Binary Search on Answer
24:17 Coding it up


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