KQUERYO - K-Query Online
Given a sequence of n numbers a1, a2, ..., an and a number of k-queries. A k-query is a triple (i, j, k) (1 ≤ i ≤ j ≤ n). For each k-query (i, j, k), you have to return the number of elements greater than k in the subsequence ai, ai+1, ..., aj.
Input
- Line 1: n (1 ≤ n ≤ 30000).
- Line 2: n numbers a1, a2, ..., an (1 ≤ ai ≤ 109).
- Line 3: q (1 ≤ q ≤ 200000), the number of k- queries.
- In the next q lines, each line contains 3 numbers a, b, c representing a k-query. You should do the following:
- i = a xor last_ans
- j = b xor last_ans
- k = c xor last_ans
Where last_ans = the answer to the last query (for the first query it's 0).
Output
For each k-query (i, j, k), print the number of elements greater than k in the subsequence ai, ai+1, ..., aj in a single line.
Example
Input: 6 8 9 3 5 1 9 5 2 3 5 3 3 7 0 0 11 0 0 2 3 7 4 Output: 1 1 0 0 2
[Edited by EB]
There are invalid queries. Assume the following:- if i < 1: i = 1
- if j > n: j = n
- if i > j: ans = 0
hide comments
knapsack120:
2019-04-30 08:39:38
ACCepted in One go.... |
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louhc:
2019-01-19 16:08:41
forget continuing...... silly me |
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a_98:
2019-01-01 12:16:12
Persistent Segment Tree + Binary Search does it ! |
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Erick:
2018-08-28 07:14:00
Finally AC!
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tisparta:
2018-08-09 05:43:20
Also solvable with Wavelet tree e.e |
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amulyagaur:
2018-03-14 07:12:34
same concept can be applied here as well:
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madhur4127:
2018-02-26 14:50:18
O(sqrt(N)*log(N)) gives AC in 0.12s, how to reduce time other than using merge sort tree? |
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ayushgupta1997:
2018-02-22 14:05:42
The test cases are weak sqrt decomp also passes...even i didn't use long long for a[] still passed :( |
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ramini1996:
2018-02-05 11:05:10
AC in ONE GO !!! |
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shiv2111:
2018-01-12 10:32:34
same version KQUERY has very strict TL, merge sort tree is not going to work there. |
Added by: | amirmd76 |
Date: | 2015-04-17 |
Time limit: | 0.200s |
Source limit: | 50000B |
Memory limit: | 1536MB |
Cluster: | Cube (Intel G860) |
Languages: | All |