📉
leetcode-题解
  • leetcode-notes
  • linked-list
    • 2-Add-Two-Numbers
    • 109-Convert-Sorted-List-to-Binary-Search-Tree
    • 19-Remove-Nth-Node-From-End-of-List
    • 92-Reverse-Linked-List-II
    • 142-Linked-List-Cycle-II
    • 83-Remove-Duplicates-from-Sorted-List
    • 61-Rotate-List
    • 148-Sort-List
    • 86-Partition-List
    • 82-Remove-Duplicates-from-Sorted-List-II
    • 138-Copy-List-with-Random-Pointer
    • 328-Odd-Even-Linked-List
    • 23- Merge-k-Sorted-Lists
    • 25-Reverse-Nodes-in-k-Group
  • templates
    • bitmap
    • ologn
    • Morris
    • dp
    • binary-search
    • Maxwindow
    • 递归
    • union
    • graph
    • greedy-algorithm
    • kmp
    • list
    • ordered-list
    • tree
    • Manacher
    • Monotonic-stack
    • big-data
    • sort-Summary
    • Bucket-sort
    • bit-opreation
    • heap-sort
  • arrays
    • others
      • 31-Next-Permutation
      • 66-Plus- One
      • 229-Majority-Element-II
      • 414-Third-Maximum-Number
    • matrix
      • 74-Search-a-2D-Matrix
      • 289-Game-of-Life
    • PrefixOrSuffix
      • 560-Subarray-Sum-Equals-K
      • 238-Product-of-Array-Except-Self
    • 二分法
      • rotated-array-problem
      • D天内送达包裹的能力
      • 162-Find-Peak-Element
      • Minimize-maximum-and-maximize-minimum
    • 多指针
      • 611-Valid-Triangle-Number
      • 228-Summary-Ranges
      • 75-Sort-Colors
      • 18-4Sum
      • 27-Remove-Element
      • 三数之和
      • 26-Remove-Duplicates-from-Sorted-Array
      • 盛最多水的容器
      • 80-Remove-Duplicates-from-Sorted-Array-II
      • 最接近的三数之和
    • array-circle
      • 457-Circular-Array-Loop
      • 287-Find-the-Duplicate-Number
      • 565-Array-Nesting
    • 智力题
      • 73-Set-Matrix-Zeroes
      • 最佳观光组合
    • 几何问题
      • 统计全为1的正方形子矩阵
      • 495-Teemo-Attacking
    • sort
      • 88-Merge-Sorted-Array
      • 57-Insert-Interval
  • tree
    • 105-Construct-Binary-Tree-from-Preorder-and-Inorder-Traversal
    • 230-Kth-Smallest-Element in-a-BST
    • 106-Construct-Binary-Tree-from-Inorder-and-Postorder-Traversal
    • 257-Binary-Tree-Paths
    • 113-Path-Sum-II
    • 96-Unique-Binary-Search-Trees
    • 124-Binary-Tree-Maximum-Path-Sum
    • 103-Binary-Tree-Zigzag-Level-Order-Traversal
    • 426-Convert-Binary-Search-Tree-to-Sorted-Doubly-Linked-List
    • 117-Populating-Next-Right-Pointers-in-Each-Node-II
    • 99-Recover-Binary-Search-Tree
    • 366-Find-Leaves-of-Binary-Tree
    • 337-House-Robber-III
    • 333-Largest-BST-Subtree
    • 298-Binary-Tree-Longest-Consecutive-Sequence
    • 428-Serialize-and-Deserialize-N-ary-Tree
    • 1367-Linked-List-in-Binary-Tree
    • 173-Binary-Search-Tree-Iterator
    • 98-Validate-Binary-Search-Tree
    • 156-Binary-Tree-Upside-Down
    • 404-Sum-of-Lef- Leaves
    • 255-Verify-Preorder-Sequence-in-Binary-Search-Tree
    • 272-Closest-Binary-Search-Tree-Value-II
    • 95-Unique-Binary-Search-Trees-II
    • 222-Count-Complete-Tree-Nodes
    • 431-Encode-N-ary-Tree to-Binary-Tree
    • Lowest-Common-Ancestor-of-a-Binary-Tree
    • 129-Sum-Root-to-Leaf-Numbers
  • recursive
    • 前言
    • 39-Combination-Sum
    • 79-Word-Search
    • 04-Power-Set-LCCI
    • 前言
    • 90-Subsets-II
    • 40-Combination-Sum-II
    • 351-Android-Unlock-Patterns
  • dynamic-programming
    • 276-Paint-Fence
    • 132-Palindrome-Partitioning-II
    • 361-Bomb-Enemy
    • 62-Unique-Paths
    • 376-Wiggle-Subsequence
    • 403-Frog-Jump
    • 32-Longest-Valid-Parentheses
    • 97-Interleaving-String
    • 354-Russian-Doll-Envelopes
    • 279-Perfect-Squares
    • 304-Range-Sum-Query-2D-Immutable
    • 10-Regular-Expression-Matching
    • Paint-House-series
    • 139-Word-Break
    • Best-Time-to-Buy-and-Sell-Stock-series
    • 416-Partition-Equal-Subset-Sum
    • 300-Longest-Increasing-Subsequence
    • 91-Decode-Ways
    • Ugly-Number-series
    • 363-Max-Sum-of-Rectangle-No-Larger-Than-K
    • 368-Largest-Divisible-Subset
    • 63-Unique-Paths-II
    • 312-Burst-Balloons
    • 322-Coin-Change
    • 64-Minimum-Path-Sum
    • 140-Word-Break-II
    • 120-Triangle
    • 72-Edit-Distance
    • House-Robber-series
    • 413-Arithmetic-Slices
    • 174-Dungeon-Game
    • 87-Scramble-String
    • 44-Wildcard-Matching
    • 338-Counting-Bits
    • 152-Maximum-Product-Subarray
    • 375-Guess-Number-Higher-or-Lower-II
  • hash-table
    • 381-Insert-Delete-GetRandom-O(1) - Duplicates-allowed
    • 442-Find-All-Duplicates-in-an-Array
    • 380-Insert-Delete-GetRandom-O(1)
    • 1-Two-Sum
    • 3-Longest-Substring-Without-Repeating-Characters
    • 41-First-Missing-Positive
  • stack
    • Monotonic stack
      • 84-Larges-Rectangle-in-Histogram
      • 42-Trapping-Rain-Water
  • bit-manipulation
    • 08-Draw-Line-LCCI
  • Mysql
    • 185-Department-Top-Three-Salaries
    • 177-N-Highest-Salary
    • 178-Rank-Scores
    • 180-Consecutive-Numbers
  • greedy
    • 56-Merge-Intervals
    • 55-Jump-Game
    • 53-Maximum-Subarray
  • math
    • 357-Count-Numbers-with-Unique-Digits
    • 343-Integer-Break
    • 119-Pascal's-Triangle-II
  • string
    • Palindrome
      • 5-Longest-Palindromic-Substring
      • Manacher
  • sliding-window
    • 209-Minimum-Size-Subarray-Sum
Powered by GitBook
On this page
  • 0x1 题目详情
  • 0x2 解题思路
  • 0x3 代码实现
  • 课后总结

Was this helpful?

  1. arrays
  2. 多指针

最接近的三数之和

Previous80-Remove-Duplicates-from-Sorted-Array-IINextarray-circle

Last updated 4 years ago

Was this helpful?

0x1 题目详情

给定一个包括 n 个整数的数组 nums 和 一个目标值 target。找出 nums 中的三个整数,使得它们的和与 target 最接近。返回这三个数的和。假定每组输入只存在唯一答案。

测试用例:

例如,给定数组 nums = [-1,2,1,-4], 和 target = 1. 与 target 最接近的三个数的和为 2. (-1 + 2 + 1 = 2).

0x2 解题思路

看到题目是不是有种似曾相识的感觉?那就是在一个数组找到三数和为0的组合,如果不熟悉三指针的基本玩法,可以去看看我写的关于。

这道题稍微变通一下也可以使用三指针解决。

首先需要对数组进行排序。

我们要求的是三数之和sun与target之间的差最小。同样固定一个指针i,然后使用left和right指针处理i之后的所有元素。首先讲述一下指针移动的规则:

  • target-sum==0:又因为题目保证了只有一个解,所以可以直接返回target

  • target-sum!=0:当二者不等时,情况又可以分为两种:

    • target-sum>0:表示还可以增加当前的sum,即移动左指针left

    • target-sum<0:表示当前sum太大了,需要减小,即移动右指针right

下面就是核心步骤辣。

我们可以规定一个sum与target的差值difference:

  • 如果当前Math.abs(target-sum)<difference时,我们就可以记录当前的三个数之和并更新最小值,然后指针的规则如上所述。

  • 如果当前Math,abc(target-sum)>=difference时,按照上述规则移动指针

我们对数组的每个元素都这样处理,那么最后的结果即为最接近target的三数之和。

0x3 代码实现

理解了上述思路之后,代码实现就非常简单了,跟求三数之和的代码没有什么大的差别。

因为对数组进行了排序,所以复杂度至少为$O(NlogN)$,而后处理每个元素的复杂度为$O(N^2)$,即最后的复杂度为$O(N^2)$

class Solution {
public int threeSumClosest(int[] nums, int target) {
    if(nums==null || nums.length<3){
        return 0;
    }
    Arrays.sort(nums);
    int result=0;
    int difference=Integer.MAX_VALUE;
    int sum=0;
    int left=0;
    int right=0;
    for(int i=0;i<nums.length;i++){
        if(i-1>-1 && nums[i-1]==nums[i]){
            continue;
        }
        left=i+1;
        right=nums.length-1;
        //差值最小的结果肯定是与sum相等的时候
        sum=target-nums[i];
        while(left<right){
            if(nums[left]+nums[right]==sum){
                return target;
            }
            //如果nums[left]与nums[right]的和与当前目标sum的差值小于最小的差值,那么
            //更新difference与结果
            else if(Math.abs(sum-(nums[left]+nums[right]))<difference){
                result=nums[i]+nums[left]+nums[right];
                difference=Math.abs(sum-(nums[left]+nums[right]));
            }
            //最后统一处理指针的移动
            if(nums[left]+nums[right]<sum){
                left++;
            }
            else{
                right--;
            }
        }
    }
    return result;
}
}

课后总结

这道题与三数之和没有啥大的区别,会求三数之和,这道题稍微写写画画也能做出来。

只不过我最后还要强调一点:在数组中使用双指针及多指针时一般都需要对数组进行排序。

三数之和题解