Sum of Subsequence Widths — LeetCode 891 Python Solution

HardArrayMathSorting
Problem
#891
Pattern
Sorting
Reading time
2 min

The problem

The width of a sequence is the difference between the maximum and minimum elements in the sequence. Given an array of integers nums, return the sum of the widths of all the non-empty subsequences of nums.

Example

Input
nums = [2,1,3]
Output
6
Explanation
The subsequences are [1], [2], [3], [2,1], [2,3], [1,3], [2,1,3].

Python solution

Python
class Solution:
    def sumSubseqWidths(self, nums: List[int]) -> int:
        mod = 10**9 + 7
        nums.sort()
        ans, p = 0, 1
        for i, v in enumerate(nums):
            ans = (ans + (v - nums[-i - 1]) * p) % mod
            p = (p << 1) % mod
        return ans

Complexity

MeasureComplexity
TimeO(n log n)
SpaceO(1) to O(n) auxiliary

Pattern: Sorting

Spend O(n log n) once to buy an ordering that makes the rest of the problem trivial. LeetCode 891. Sum of Subsequence Widths is filed here because LeetCode tags it Sorting, which is the vocabulary this hub collects.

The sorting guide has the Python template for the pattern and the 401 LeetCode problems that use it.

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Frequently asked questions

How hard is LeetCode 891. Sum of Subsequence Widths?
LeetCode 891. Sum of Subsequence Widths is rated Hard on LeetCode.
What topics does LeetCode 891. Sum of Subsequence Widths cover?
LeetCode 891. Sum of Subsequence Widths is tagged Array, Math and Sorting on LeetCode.

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