Description
https://leetcode.com/problems/3sum-closest/
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 1:
Input: nums = [-1,2,1,-4], target = 1 Output: 2 Explanation: The sum that is closest to the target is 2. (-1 + 2 + 1 = 2).
Constraints:
3 <= nums.length <= 10^3
-10^3 <= nums[i] <= 10^3
-10^4 <= target <= 10^4
Explanation
3Sum Closest is a follow-up question for two sum.
For 3Sum Closest, we are going to find the closest sum to the target. The closest sum could be the target itself or a number close to the target.
- First, we can sort the array into ascending order.
- Second, we declare an integer variable called closetSum. That’s the final value we are going to return.
- Then we can iterate all the numbers in the array. Whenever visiting a number, we should find two numbers in the rest of array which adds the number closet to target. Once iteration finished, we get the result.
Java Solution
class Solution {
public int threeSumClosest(int[] nums, int target) {
if (nums == null || nums.length < 3) {
return -1;
}
Arrays.sort(nums);
int closetSum = nums[0] + nums[1] + nums[2];
for (int i = 0; i < nums.length; i++) {
int left = i + 1;
int right = nums.length - 1;
while (left < right) {
int sum = nums[i] + nums[left] + nums[right];
if (Math.abs(sum - target) < Math.abs(closetSum - target)) {
closetSum = sum;
}
if (sum < target) {
left++;
} else {
right--;
}
}
}
return closetSum;
}
}
Python Solution
class Solution:
def threeSumClosest(self, nums: List[int], target: int) -> int:
three_sum_closest = sys.maxsize
nums = sorted(nums)
for i, num in enumerate(nums):
l = i + 1
r = len(nums) - 1
while l < r:
local_sum = nums[i] + nums[l] + nums[r]
if abs(local_sum - target) < abs(three_sum_closest - target):
three_sum_closest = local_sum
if local_sum <= target:
l += 1
else:
r -= 1
return three_sum_closest
- Time Complexity: O(Nlog(N))
- Space Complexity: O(1)
Shouldnt the complexity be O(N^2) since after sorting the loop goes to check the whole array for each value.