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  • 【leetcode】1508. Range Sum of Sorted Subarray Sums

    题目如下:

    Given the array nums consisting of n positive integers. You computed the sum of all non-empty continous subarrays from the array and then sort them in non-decreasing order, creating a new array of n * (n + 1) / 2 numbers.

    Return the sum of the numbers from index left to index right (indexed from 1), inclusive, in the new array. Since the answer can be a huge number return it modulo 10^9 + 7.

    Example 1:

    Input: nums = [1,2,3,4], n = 4, left = 1, right = 5
    Output: 13 
    Explanation: All subarray sums are 1, 3, 6, 10, 2, 5, 9, 3, 7, 4. After sorting them in non-decreasing order we have 
    the new array [1, 2, 3, 3, 4, 5, 6, 7, 9, 10]. The sum of the numbers from index le = 1 to ri = 5 is 1 + 2 + 3 + 3 + 4 = 13.

    Example 2:

    Input: nums = [1,2,3,4], n = 4, left = 3, right = 4
    Output: 6
    Explanation: The given array is the same as example 1. We have the new array [1, 2, 3, 3, 4, 5, 6, 7, 9, 10]. The sum of 
    the numbers from index le = 3 to ri = 4 is 3 + 3 = 6.

    Example 3:

    Input: nums = [1,2,3,4], n = 4, left = 1, right = 10
    Output: 50

    Constraints:

    • 1 <= nums.length <= 10^3
    • nums.length == n
    • 1 <= nums[i] <= 100
    • 1 <= left <= right <= n * (n + 1) / 2

    解题思路:怎么说呢,nums.length最大才1000,表示O(n^2)的时间复杂度完全可以接受,那就计算出所有的子数组的和吧。

    代码如下:

    class Solution(object):
        def rangeSum(self, nums, n, left, right):
            """
            :type nums: List[int]
            :type n: int
            :type left: int
            :type right: int
            :rtype: int
            """
            val = []
            for i in range(len(nums)):
                count = 0
                for j in range(i,len(nums)):
                    count += nums[j]
                    val.append(count)
            val.sort()
            return sum(val[left-1:right])
            
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  • 原文地址:https://www.cnblogs.com/seyjs/p/13656025.html
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