leetcode 3sum question
阿新 • • 發佈:2017-07-08
邏輯 while cnblogs app 問題分析 排序 ica 時間復雜度 list()
摘要:
Given an array S of n integers, are there elements a, b, c in S such that a + b + c = 0? Find all unique triplets in the array which gives the sum of zero.
Note: The solution set must not contain duplicate triplets.
For example, given array S = [-1, 0, 1, 2, -1, -4],
A solution set is:
[ [-1, 0, 1], [-1, -1, 2] ]
問題分析:
對數組實現3個值的求和,可以分解為兩個數值的和;問題需要考慮到過濾重復的解決方案和考慮到算法復雜度;
1 class Solution(object): 2 def threeSum(self, nums): 3 """ 4 :type nums: List[int] 5 :rtype: List[List[int]] 6 """ 7 nums.sort() # 根據python的內置列表排序,實現排序 8 result = list() 9 if len(nums) < 3: 10 return result #判斷,如果輸入列表小於3,直接返回空值 11 for i in range(len(nums) - 2): # 只能遍歷到len(nums)-2,否則越界 12 if i > 0 and nums[i] == nums[i-1]: 13 continue 14 left = i + 1 15 right = len(nums) - 1 16 while left < right: 17 cur_sum = nums[left] + nums[right]18 target_sum = 0 - nums[i] 19 if cur_sum == target_sum: 20 temp = [nums[i],nums[left],nums[right]] 21 result.append(temp) 22 left +=1 23 right -= 1 24 while left < right and nums[left]==nums[left-1]: 25 left +=1 26 while left < right and nums[right] == nums[right+1]: 27 right -= 1 28 elif cur_sum < target_sum: 29 left += 1 30 else: 31 right -= 1 32 return result
代碼解析:
第一想法:對數組按照i,j,k三個指針指向進行遍歷,時間復雜度為O(n3),當數組長度很大時,運算速度過慢,造成無法運算
第二想法:通過搜索查看別人答案,上面的代碼實現時間復雜度為O(nlogn);邏輯為,遍歷一次數組,不重復遍歷。轉化為求2sum的問題
leetcode 3sum question