Given an array nums
of n integers and an integer target
, find three integers in nums
such that the sum is closest to target
. Return the sum of the three integers. You may assume that each input would have exactly one solution.
Example:
Given array nums = [-1, 2, 1, -4], and target = 1. The sum that is closest to the target is 2. (-1 + 2 + 1 = 2).
此题和LeetCode 3Sum类似,不过是要求一个三元组的和和target最相近,而不是等于0。思路一样,先排序,然后首尾指针向target夹逼。对于每一个外层循环,记录下该循环得到的最小diff,然后在所有diff中取最小。在遍历的过程中如果发现diff=0,直接返回target。 完整代码如下:
class Solution {
public:
int threeSumClosest(vector<int>& nums, int target)
{
sort(nums.begin(), nums.end());
int n = nums.size();
vector<int> diff(n, INT_MAX);
vector<int> sum(n);
for (int i = 0; i < n; i++) {
if (i == 0 || nums[i] > nums[i – 1]) {
int s = i + 1, t = n – 1;
while (s < t) {
int tmp_sum = nums[i] + nums[s] + nums[t];
if (abs(tmp_sum – target) < diff[i]) {
diff[i] = abs(tmp_sum – target);
sum[i] = tmp_sum;
}
if (tmp_sum < target)
s++;
else if (tmp_sum > target)
t–;
else {
return target;
}
}
}
}
int min_diff = INT_MAX, ans;
for (int i = 0; i < n; i++) {
if (diff[i] < min_diff) {
min_diff = diff[i];
ans = sum[i];
}
}
return ans;
}
};
本代码提交AC,用时12MS。
二刷:
上面的代码过于复杂,其实没必要存储diff和sum,因为最终只是求一个closest,在循环中就可以保存最小值,代码如下:
class Solution {
public:
int threeSumClosest(vector<int>& nums, int target)
{
sort(nums.begin(), nums.end());
int n = nums.size();
if (n < 3)
return accumulate(nums.begin(), nums.end(), 0);
int ans = nums[0] + nums[1] + nums[2];
for (int i = 0; i < n; ++i) {
for (int j = i + 1, k = n – 1; j < k;) {
int sum = nums[i] + nums[j] + nums[k];
if (abs(sum – target) < abs(ans – target))
ans = sum;
if (sum == target)
return target;
else if (sum < target)
++j;
else
–k;
}
}
return ans;
}
};
本代码提交AC,用时6MS。
Pingback: LeetCode 3Sum Closest | nce3xin_code