Скачать или смотреть Shortest Subarray with Sum at Least K | Already Studied Concept | Leetcode 862 | codestorywithMIK

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This is the 30th Video of our Playlist "Sliding Window : Popular Interview Problems" by codestorywithMIK

There is a very similar problem to this for which I had already posted a video - "Leetcode-209 : Minimum Size Subarray Sum" Watch that first - Video Link -    • Minimum Size Subarray Sum | Google | Amazo...  
In this video we will try to solve a classic Sliding Window Problem : Shortest Subarray with Sum at Least K | Using Already Studied Concepts | Dry Run | Leetcode 862 | 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 : Shortest Subarray with Sum at Least K | Using Already Studied Concepts | Dry Run | Leetcode 862 | codestorywithMIK
Company Tags : will update later
My solutions on Github(C++ & JAVA) - https://github.com/MAZHARMIK/Intervie...
Leetcode Link : https://leetcode.com/problems/shortes...


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Summary :
The approach to solving the Shortest Subarray with Sum at Least K problem uses a combination of cumulative sum and a monotonic deque to efficiently find the smallest subarray with a sum greater than or equal to K.

Steps:

Cumulative Sum: Calculate the cumulative sum of the array. cumulativeSum[i] stores the sum of elements from the start of the array to index i.

Monotonic Deque: Use a deque to keep track of indices of the cumulative sum array in a way that maintains increasing order of cumulative sums. This helps identify subarrays with sums greater than or equal to K.

Checking for valid subarrays:

For each new element, check if the difference between the current cumulative sum and any previously seen cumulative sum is at least K. If so, update the result (the length of the subarray).
Maintain the deque such that only indices with relevant cumulative sums are kept, ensuring the deque remains in increasing order of cumulative sums.
Return Result: After processing all elements, the smallest valid subarray length is returned. If no such subarray is found, return -1.


✨ Timelines✨
00:00 - Introduction

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