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Added by: | Rishav Goyal |
Date: | 2014-02-07 |
Time limit: | 1.223s-2.446s |
Source limit: | 50000B |
Memory limit: | 1536MB |
Cluster: | Cube (Intel G860) |
Languages: | All |
Resource: | own |
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2016-10-30 17:22:36
Nice problem! |
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2016-05-14 16:12:28 rainy jain
Is there any formula for log(n) approach? Last edit: 2016-05-15 09:45:47 |
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2015-09-19 15:48:45
i ac in log(n) |
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2014-06-17 04:03:17 Chandan Mittal
learnt just another new thing today so happy :) |
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2014-06-17 04:03:17 [Lakshman]
@fitcat Thanks. I checked my algo deeply and find the bug, Now AC with log n. |
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2014-06-17 04:03:17 newbie
my log(n)^2 giving tle....someone plz help...can log(n)^2 get accepted or i need to find some other algo Last edit: 2014-02-15 10:03:43 |
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2014-06-17 04:03:17 fitcat
Though I haven't looked into any O(log(n)^2) solutions, I believe and agree that O(log(n)) solution is much simpler. The logic is not hard and in fact quite easy. @Lakshman: My solution employed unsigned 64 bit integers and there were no overflow problems occurred. |
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2014-06-17 04:03:17 (Tjandra Satria Gunawan)(曾毅昆)
@Lakshman: maybe my O(log(n)) approach is different than yours.. Last edit: 2014-03-08 12:37:19 |
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2014-06-17 04:03:17 [Lakshman]
@(Tjandra Satria Gunawan)(曾毅昆) some how I am able to write a log n algo but it overflows , and if I use python it gives tle. |
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2014-06-17 04:03:17 (Tjandra Satria Gunawan)(曾毅昆)
actually O(log(n)) solution is shorter & easier to implement than O(log(n)^2).. the hard part is to get the correct logic.. |