Название | : | Asymptotic Analysis (Solved Problem 1) |
Продолжительность | : | 7.23 |
Дата публикации | : | |
Просмотров | : | 269 rb |
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Good explanationneso academy always best👍 Comment from : Lokeshwara Achari |
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1st loop : O(n)br2nd loop: O(log2n)brlast loop: O(n)brSo the total time complexity is brO(n^2 log n) Comment from : csstudent🦋 |
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Good explanation 👏 Comment from : csstudent🦋 |
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So essentially we solve for the variable representing the iteration number each time and use that to find the upper bound? Comment from : Justin Lau |
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I have a question can you solve it to me?? Comment from : Preeno |
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YOU CAN CLEARLY SEE OVER HEREbrbrDude I don't know what you're seeing but that's a k and a n, there's no p Comment from : chriserony |
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Why the last loop of the question is O(logn) instead of O(log2n)? 6:08 Comment from : Chaiwat |
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n^2log(n) am i right Comment from : Kiran Kumar |
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O(n^2 log n) Comment from : Aadrika |
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(n^2)logn Comment from : C Filor |
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hello, I think you forgot to to assign j*2 to j in the update expression so it itereation will not end because j does not change Comment from : C Filor |
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Answer is [n^2*log(n)] Comment from : Shashwat Saxena |
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thank you! Comment from : Alii |
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Beautiful analysis! Incredible job Thank you for providing this content Comment from : AJGames |
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The Complexity for the last problem is O(n^2Logn) Comment from : Sisou sqd |
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