Given an array A of length N and a number B find the number of subarrays A[l....r] such that A[l]+A[r] and max(A[l...r]) are congruent modulo B
1<=N,B<=500000
1<=A[i]<=1e9
The contest of which this question is has ended.
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Given an array A of length N and a number B find the number of subarrays A[l....r] such that A[l]+A[r] and max(A[l...r]) are congruent modulo B
1<=N,B<=500000
1<=A[i]<=1e9
The contest of which this question is has ended.
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Your pretty funny. Problem link?
https://www.interviewbit.com/contest/code-drift-2-pointers/
4th question of this contest.
I can't access the original statement, but that doesn't sound like a 2 pointers problem.
Here are the link to the question's image.
Problem Statement
Sample test
Yeah it didn't seemed two pointers to me also . I thought of segment tree with lazy propagation but wasn't able to come up with the solution.
I don't know any solution which uses two pointer technique.
I would solve this problem by iterating over maximums, that is for every element $$$A[i]$$$ find range $$$[L,R]$$$ in which $$$A[i]$$$ is maximum.
Now for every element this range can be split into parts $$$[L,i]$$$ and $$$[i+1,R]$$$, just iterate on the smaller range, that is if we have fixed $$$A[l]$$$ we just need to find the count of $$$(A[i]-A[l])$$$ under modulo $$$B$$$ in the range $$$[i,R]$$$.
This solution has time complexity of $$$O(Nlog^2(N))$$$
How is this solution $$$O(Nlog^2(N))$$$.
If we are iterating on $$$l$$$ for a given elements on worst it can be $$$O(n^2)$$$.
Consider a increasing sequence. The $$$l$$$ for every element will from $$$1$$$ to $$$i$$$ , thus leading to $$$O(n^2)$$$. Correct me if I misunderstood something.
No, we are not always iterating on $$$l$$$.
If
i-L>R-i
we will then iterate $$$j$$$ in $$$[L, i]$$$ as my left border. Otherwise, iterate $$$j$$$ in $$$[i, R]$$$ as the right border.Iterating on smaller part guarantees $$$O(Nlog(N))$$$ iterations.
We can get rid of extra $$$log$$$, by doing MO on big ranges. But still, for $$$n \le 5*10^5$$$ it would be TL.
Actually $$$O(Nlog^2(N))$$$ is fine, for $$$N=5*10^5$$$ there are $$$2*10^8$$$ operations in the worst case.
I had submitted the same solution and it works fine.
Damn man, I had the same thought but didn't implement it. I thought it would be N**2 in worst case. By the way what rank did u get in that contest
Can you please explain or give some intuition why it is
O(NlogN)
?Take a look at the editorial of 1156E - Специальные подотрезки перестановки, it is the very same idea.
Thank you!
There is an another solution — https://codeforces.net/blog/entry/66827?#comment-509216
for every element A[i] find range [L,R] in which A[i] is maximum
Is there any standard algorithm to do this? Also can you please share a pastebin link of your AC submission.