Minimum Size Subarray Sum | Leetcode

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  • เผยแพร่เมื่อ 15 ก.ย. 2024
  • This video explains the minimum size subarray sum problem which is a variable size sliding window technique-based frequent interview problem. In this problem, I have explained the problem statement using easy-to-understand examples. I have explained the intuition for the algorithm using graph diagrams and then followed it up by a dry run and code explanation.
    CODE LINK is present below as usual. If you find any difficulty or have any query then do COMMENT below. PLEASE help our channel by SUBSCRIBING and LIKE our video if you found it helpful...CYA :)
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ความคิดเห็น • 36

  • @CostaKazistov
    @CostaKazistov 2 ปีที่แล้ว +23

    10^5 size for N^2 problem becomes 10^10 - very interesting observation you noted.
    I never realised that about computation limits, such as 10^8 you mentioned.
    Learned something new today.
    Great walkthrough of Leetcode 209 btw. Clear and on point.

    • @leetcoder1159
      @leetcoder1159 2 ปีที่แล้ว

      Are you working as a SDE?

    • @techdose4u
      @techdose4u  2 ปีที่แล้ว +1

      😀

    • @CostaKazistov
      @CostaKazistov 2 ปีที่แล้ว +2

      @@leetcoder1159 Currently, no - but preparing for future interviews. Doing 4-5 Leetcode medium every day (434 so far).

    • @abhijitroy1958
      @abhijitroy1958 2 ปีที่แล้ว

      @@CostaKazistov great sir

    • @oqant0424
      @oqant0424 ปีที่แล้ว

      @@CostaKazistov now?

  • @KingBobXVI
    @KingBobXVI 2 ปีที่แล้ว +2

    Excellent explanation of the problem overall, I kind of feel like the explanation of the +2 and inclusion of a second loop make it a little more confusing though, since a lot of time is spent explaining why it's +2 but that's a design choice rather than a necessary part of the overall algorithm. Time complexity is the same, but I feel like it's a little more straightforward (if more lengthy) like this:
    sum = nums[0];
    while (true) {
    int sub_array_size = right - left + 1;
    if (sum >= target) {
    if (sub_array_size == 1) return 1; // In the case where nums[i] >= target, you know the answer is the minimum. Early out prevents the left index going to the right of the right index.
    shortest = min(sub_array_size, shortest);
    sum -= nums[left];
    ++left;
    if (left == n) break;
    } else {
    ++right;
    if (right == n) break;
    sum += nums[right];
    }
    }

  • @vivekkumaragrawal3963
    @vivekkumaragrawal3963 ปีที่แล้ว +1

    class Solution {
    public:
    int minSubArrayLen(int target, vector& nums) {
    int len = nums.size(), ans = INT_MAX;
    int sum = 0;
    int left = 0,right = 0;
    while(right=target && left

  • @nirajgujarathi6796
    @nirajgujarathi6796 2 ปีที่แล้ว

    found one modification, Correct me if I am wrong ! when , sum==target then no need to move left pointer because any ways it will lower the sum,
    In short if sum> target move left pointer towards right
    else if sum == taget update window size if it is smaller
    else if sum< target move right pointer

    • @KingBobXVI
      @KingBobXVI 2 ปีที่แล้ว

      With the way his logic is written, it just keeps the code consistent - since the "left" pointer is always over-shooting by one, so that once the sub-array is too small, he'll include the sub-array plus the previous element, so if the sub array is currently [1, 2, 4], he wants to iterate again to 1, [2, 4] because now he'll count the length of the sub array (2) and add 1 extra to account for the over-shoot.
      I think the way he did that actually complicates the verbal explanation significantly, for the sake of the video. Doing it with two loops is unnecessary, as you could just do a single loop along the lines of:
      while (not finished) {
      int sub_array_size = right - left + 1;
      if (total >= target) {
      minimum_sub_array_size = min(sub_array_size, minimum_sub_array_size);
      ++left;
      } else {
      ++right;
      }
      }

  • @oqant0424
    @oqant0424 ปีที่แล้ว

    thanksssss a lot ............awesome explanation

  • @oladipotimothy6007
    @oladipotimothy6007 2 ปีที่แล้ว +1

    The best explanation Sensei

  • @syedaqib2912
    @syedaqib2912 2 ปีที่แล้ว +2

    Well explained 🔥

  • @sarthakgupta9858
    @sarthakgupta9858 2 ปีที่แล้ว +1

    very nice explanation

  • @Pegasus02Kr
    @Pegasus02Kr 2 ปีที่แล้ว +1

    Happy new year for you sir

    • @techdose4u
      @techdose4u  2 ปีที่แล้ว

      Same to you 😀

  • @mtex448
    @mtex448 2 ปีที่แล้ว +1

    I am not very good in time complexity theory, 5:36 how its become 10^10 and why should we go under

    • @nehasomani3446
      @nehasomani3446 ปีที่แล้ว

      Order is N^2 & max input size will be 10^5, so 2*5 = 10, therefore 10^10. 10^8, here 8/2 = 4, all inputs till 10^4 can be solved with it. Which means, if we go under 10^8, we can solve for further higher input size. I hope, this helps.

  • @PraveshGupta1992
    @PraveshGupta1992 2 ปีที่แล้ว +2

    Just curious to know , would it work for [7, 7, 8, 8] and target is 2 ?

    • @techdose4u
      @techdose4u  2 ปีที่แล้ว +1

      Yes. r-l+2 = 0-1+2 = 1 :)

  • @saivardhanpallerla9
    @saivardhanpallerla9 2 ปีที่แล้ว +2

    Hi sir which app do u use for explaining

  • @VinothOfficialClub
    @VinothOfficialClub 2 ปีที่แล้ว

    For input target =7 and the array = {4,2,2,2,1,3}. how the solution find the correct answer based on your fix? the right pointer will reach end of an array and will tell the solution as 4.. not 2..

  • @devbhattacharya153
    @devbhattacharya153 2 ปีที่แล้ว

    Sir one suggestion this video could be much shorter about of 15 mins although a great explanation thank you :)

  • @_benon
    @_benon 2 ปีที่แล้ว +1

    i didnt understand what ur algorithm is

  • @vinayghadigaonkar8215
    @vinayghadigaonkar8215 7 หลายเดือนก่อน

    Are you Still Teaching the DSA CRASH COURSE?

  • @tushararora672
    @tushararora672 2 ปีที่แล้ว

    fee of course??

  • @pijushbiswas4352
    @pijushbiswas4352 10 หลายเดือนก่อน

    Could you help me understand, why won't this code work ?
    int minSubArrayLen(int target, vector& nums) {
    long long int s=0;
    int n=nums.size();
    for(int i=0;i

  • @abhishekmaldikar9704
    @abhishekmaldikar9704 2 ปีที่แล้ว +1

    Sir your Instagram link not working