Patching Array | Thought Process | Dry Runs | GOOGLE | Leetcode 330 | codestorywithMIK

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Published on June 15, 2024 12:00:00 AM ● Video Link: https://www.youtube.com/watch?v=K2IomuIFbPg

Duration: 32:02

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This is the 35th Video of our Playlist "Greedy Technique : Popular Interview Problems" by codestorywithMIK

In this video we will try to solve a very good greedy Problem : Patching Array | Thought Process | Dry Runs | GOOGLE | Leetcode 330 | codestorywithMIK

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 : Patching Array | Thought Process | Dry Runs | GOOGLE | Leetcode 330 | codestorywithMIK
Company Tags : GOOGLE
My solutions on Github(C++ & JAVA) : https://github.com/MAZHARMIK/Intervie...
Leetcode Link : https://leetcode.com/problems/patchin...


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Summary :
Key Concepts:

Maximum Reach (maxReach):

maxReach represents the largest sum that can be formed using the current set of numbers from nums and any patches added so far.
Iterating Through nums:

We iterate through the nums array to incrementally build up the range of sums that can be formed. If the current number nums[i] is within the next achievable range (less than equal to maxReach + 1), we add it to maxReach and move to the next number.
Adding Patches:

Whenever a gap is detected (i.e., nums[i] is greater than maxReach + 1), we add a patch. The most efficient patch is maxReach + 1, which extends the achievable range maximally.
Loop Until maxReach Covers n:

The loop continues until maxReach reaches or exceeds n.

✨ Timelines✨
00:00 - Introduction

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