码农知识堂 - 1000bd
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  • leetcode - 456. 132 Pattern


    Description

    Given an array of n integers nums, a 132 pattern is a subsequence of three integers nums[i], nums[j] and nums[k] such that i < j < k and nums[i] < nums[k] < nums[j].

    Return true if there is a 132 pattern in nums, otherwise, return false.

    Example 1:

    Input: nums = [1,2,3,4]
    Output: false
    Explanation: There is no 132 pattern in the sequence.
    
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    Example 2:

    Input: nums = [3,1,4,2]
    Output: true
    Explanation: There is a 132 pattern in the sequence: [1, 4, 2].
    
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    Example 3:

    Input: nums = [-1,3,2,0]
    Output: true
    Explanation: There are three 132 patterns in the sequence: [-1, 3, 2], [-1, 3, 0] and [-1, 2, 0].
    
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    Constraints:

    n == nums.length
    1 <= n <= 2 * 10^5
    -10^9 <= nums[i] <= 10^9
    
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    Solution

    Didn’t even come up with n 2 n^2 n2 solution, I feel so bad.

    o ( n 2 ) o(n^2) o(n2) solution

    Scan from left to right, keep track of the minimum value, and at each point scan the right of the list, to find the middle element.

    Time complexity: o ( n 2 ) o(n^2) o(n2)
    Space complexity: o ( 1 ) o(1) o(1)

    Monotonic Stack

    Solved after help.

    ref: https://leetcode.com/problems/132-pattern/solutions/94071/single-pass-c-o-n-space-and-time-solution-8-lines-with-detailed-explanation/

    We are going to search for a subsequence s1, s2, s3, that s1 < s3 < s2. s3 should be as large as possible if we could find a s2 that satisfies s2 > s3. So we could use a decreasing stack to store all the elements from right to left, if the current number is larger than the top element, then the element we pop from the stack is a candidate for s3.

    Time complexity: o ( n ) o(n) o(n)
    Space complexity: o ( n ) o(n) o(n)

    Code

    o ( n 2 ) o(n^2) o(n2) solution

    class Solution:
        def find132pattern(self, nums: List[int]) -> bool:
            min_val = nums[0]
            for j in range(1, len(nums)):
                if nums[j] <= min_val:
                    min_val = nums[j]
                    continue
                else:
                    for k in range(j + 1, len(nums)):
                        if min_val < nums[k] < nums[j]:
                            return True
            return False
    
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    Monotonic Stack

    class Solution:
        def find132pattern(self, nums: List[int]) -> bool:
            stack = []
            s3 = None
            for each_num in nums[::-1]:
                while stack and stack[-1] < each_num:
                    if s3:
                        s3 = max(s3, stack.pop())
                    else:
                        s3 = stack.pop()
                stack.append(each_num)
                if s3 and each_num < s3:
                    return True
            return False
    
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  • 原文地址:https://blog.csdn.net/sinat_41679123/article/details/133450861
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