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Thanks Bro, Nice explanation. Love from Kerala
Thanks for uploading all the approaches with codes helps to develop the thought process 👍
So nice of you
Amazing explanation!
really liked your approach of explanation.. reminded one of the mentors in school :)
Glad to hear that!Follow our linkedin page for regular updates www.linkedin.com/company/codebix/?viewAsMember=true
osm
Sir I just wanted to point that in 2nd method the tc should be o(log k) as we should apply Bs on 0-k.
Good Explanation
Thank you sir. Sir I have a suggestion for u. When you explaining the code . Can you zoom in to the code . This might be good .
Becoz code font size is to small for us. If you zoom in this problem might be solve
Okay Devesh will do.Btw code is also available in video description
why you take (long)n in constant time
Time Complexity - O(log n)Code:class Solution {public: bool func(long long k,int n){ return (k*(k+1)/2)
Thanks Bro, Nice explanation. Love from Kerala
Thanks for uploading all the approaches with codes helps to develop the thought process 👍
So nice of you
Amazing explanation!
really liked your approach of explanation.. reminded one of the mentors in school :)
Glad to hear that!
Follow our linkedin page for regular updates www.linkedin.com/company/codebix/?viewAsMember=true
osm
Sir I just wanted to point that in 2nd method the tc should be o(log k) as we should apply Bs on 0-k.
Good Explanation
Thank you sir.
Sir I have a suggestion for u. When you explaining the code . Can you zoom in to the code . This might be good .
Becoz code font size is to small for us. If you zoom in this problem might be solve
Okay Devesh will do.
Btw code is also available in video description
why you take (long)n in constant time
Time Complexity - O(log n)
Code:
class Solution {
public:
bool func(long long k,int n){
return (k*(k+1)/2)