334. Increasing Triplet Subsequence【M】【69】
2016-02-23 21:56
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Given an unsorted array return whether an increasing subsequence of length 3 exists or not in the array.
Formally the function should:
Return true if there exists i, j, k
such that arr[i] < arr[j] < arr[k] given 0 ≤ i < j < k ≤ n-1 else return false.
Your algorithm should run in O(n) time complexity and O(1) space complexity.
Examples:
Given
return
Given
return
Credits:
Special thanks to @DjangoUnchained for adding this problem and creating all test cases.
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就是维护一个大小为3的窗口
low代表最小的,mid代表中间大小的
如果当前数,大于mid,那肯定满足条件
这里面有个trick,就是low的位置不一定在mid前面,它可以代表有可能成为最小的的候选。
Formally the function should:
Return true if there exists i, j, k
such that arr[i] < arr[j] < arr[k] given 0 ≤ i < j < k ≤ n-1 else return false.
Your algorithm should run in O(n) time complexity and O(1) space complexity.
Examples:
Given
[1, 2, 3, 4, 5],
return
true.
Given
[5, 4, 3, 2, 1],
return
false.
Credits:
Special thanks to @DjangoUnchained for adding this problem and creating all test cases.
Subscribe to see which companies asked this question
就是维护一个大小为3的窗口
low代表最小的,mid代表中间大小的
如果当前数,大于mid,那肯定满足条件
这里面有个trick,就是low的位置不一定在mid前面,它可以代表有可能成为最小的的候选。
class Solution(object): def increasingTriplet(self, nums): if len(nums)<3: return False mid=sys.maxint low=nums[0] for i in nums[1:]: #print low,mid if i > mid: return True if i > low: mid = min(mid,i) low = min(low,i) return False
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