18. 4Sum

题目:

Given an array S of n integers, are there elements a, b, c, and d in S such that a + b + c + d = target? Find all unique quadruplets in the array which gives the sum of target.

Note:

• Elements in a quadruplet (a,b,c,d) must be in non-descending order. (ie, a ≤ b ≤ c ≤ d)
• The solution set must not contain duplicate quadruplets.

 

    For example, given array S = {1 0 -1 0 -2 2}, and target = 0.

    A solution set is:
    (-1,  0, 0, 1)
    (-2, -1, 1, 2)
    (-2,  0, 0, 2)

链接：http://leetcode.com/problems/4sum/

题解: 

同3Sum。 Time Complexity - O(n³)， Space Complexity - O(1)

public class Solution {
    public ArrayList<ArrayList<Integer>> fourSum(int[] num, int target) {
        ArrayList<ArrayList<Integer>> result = new ArrayList<ArrayList<Integer>>();
        if(num == null || num.length < 4)
            return result;
        Arrays.sort(num);
        
        for(int i = 0; i < num.length - 3; i ++){
            if(i > 0 && num[i] == num[i - 1])
                continue;
                
            for(int j = i + 1; j < num.length - 2; j ++){
                if(j > i + 1 && num[j] == num[j - 1])
                    continue;
                    
                int left = j + 1, right = num.length - 1;
                
                while(left < right){
                    int sum = num[i] + num[j] + num[left] + num[right];
                    if(sum == target){
                        ArrayList<Integer> list = new ArrayList<Integer>();
                        list.add(num[i]);
                        list.add(num[j]);
                        list.add(num[left]);
                        list.add(num[right]);
                        result.add(list);
                        left ++;
                        right --;
                        while(left < right && num[left] == num[left - 1])
                            left ++;
                        while(left < right && num[right] == num[right + 1])
                            right --;
                    } else if(sum < target) {
                        left ++;
                    } else {
                        right--;
                    }
                }                
            }
        }
        
        return result;
    }
}

 

二刷：

根3Sum方法一样，也是重点在去重复。应该还可以做一些pruning来继续优化速度

Time Complexity - O(n³)， Space Complexity - O(1)

Java:

public class Solution {
    public List<List<Integer>> fourSum(int[] nums, int target) {
        List<List<Integer>> res = new ArrayList<>();
        if (nums == null || nums.length < 4) {
            return res;
        }
        Arrays.sort(nums);
        for (int i = 0; i < nums.length - 3; i++) {
            if (i > 0 && nums[i] == nums[i - 1]) {
                continue;
            }
            for (int j = i + 1; j < nums.length - 2; j++) {
                if (j > i + 1 && nums[j] == nums[j - 1]) {
                    continue;
                }
                int lo = j + 1, hi = nums.length - 1;
                while (lo < hi) {
                    int sum = nums[i] + nums[j] + nums[lo] + nums[hi];
                    if (sum == target) {
                        List<Integer> list = new ArrayList<>();
                        list.add(nums[i]);
                        list.add(nums[j]);
                        list.add(nums[lo]);
                        list.add(nums[hi]);
                        res.add(list);
                        lo++;
                        hi--;
                        while (lo < hi && nums[lo] == nums[lo - 1]) {
                            lo++;
                        }
                        while (lo < hi && nums[hi] == nums[hi + 1]) {
                            hi--;
                        }
                    } else if (sum < target) {
                        lo++;
                    } else {
                        hi--;
                    }
                }
            }
        }
        return res;
    }
}

 

Python:

有很多其他方法可以优化，需要更深入学习Python

class Solution(object):
    def fourSum(self, nums, target):
        """
        :type nums: List[int]
        :type target: int
        :rtype: List[List[int]]
        """
        if not nums or len(nums) < 4:
            return []
        res = []
        nums.sort()
        for i in range(0, len(nums) - 3):
            if i > 0 and nums[i] == nums[i - 1]:
                continue
            for j in range(i + 1, len(nums) - 2):
                if j > i + 1 and nums[j] == nums[j - 1]:
                    continue
                lo = j + 1
                hi = len(nums) - 1
                while lo < hi:
                    sum = nums[i] + nums[j] + nums[lo] + nums[hi]
                    if sum == target:
                        res.append([nums[i], nums[j], nums[lo], nums[hi]])
                        lo += 1
                        hi -= 1
                        while lo < hi and nums[lo] == nums[lo - 1]:
                            lo += 1
                        while lo < hi and nums[hi] == nums[hi + 1]:
                            hi -= 1
                    elif sum < target:
                        lo += 1
                    else:
                        hi -= 1
        return res
                            

 

三刷:

使用旧的方法。速度不是很快。 这道题虽然可以不动脑子，用3Sum的方法来做，但仔细想一想应该有很多地方可以剪枝。

在reference里放了一些Discuss区比较快的代码链接。

Java:

Time Complexity - O(n³)， Space Complexity - O(1)

public class Solution {
    public List<List<Integer>> fourSum(int[] nums, int target) {
        List<List<Integer>> res = new ArrayList<>();
        if (nums == null || nums.length < 4) return res;
        Arrays.sort(nums);
        for (int i = 0; i < nums.length - 3; i++) {
            if (i > 0 && nums[i] == nums[i - 1]) continue;
            for (int j = i + 1; j < nums.length - 2; j++) {
                if (j > i + 1 && nums[j] == nums[j - 1]) continue;
                int lo = j + 1, hi = nums.length - 1;
                while (lo < hi) {
                    int sum = nums[i] + nums[j] + nums[lo] + nums[hi];
                    if (sum == target) {
                        List<Integer> list = new ArrayList<>();
                        list.add(nums[i]);
                        list.add(nums[j]);
                        list.add(nums[lo]);
                        list.add(nums[hi]);
                        res.add(list);
                        lo++;
                        hi--;
                        while (lo < hi && nums[lo] == nums[lo - 1]) lo++;
                        while (lo < hi && nums[hi] == nums[hi + 1]) hi--;
                    } else if (sum < target) {
                        lo++;
                    } else {
                        hi--;
                    }
                }
            }
        }
        return res;
    }
}

 

 

Reference:

https://leetcode.com/discuss/69517/7ms-java-code-win-over-100%25

https://leetcode.com/discuss/54724/python-140ms-beats-100%25-and-works-for-n-sum-n-2

https://leetcode.com/discuss/77704/java-backtracking-solution-for-k-sum-beat-94%25

https://leetcode.com/discuss/28936/a-conise-python-solution-based-on-ksum

https://leetcode.com/discuss/78276/java-little-bit-faster-than-other-common-methods-9ms-beats-95%25

https://leetcode.com/discuss/29867/share-my-python-code-run-time-200-20ms

http://stackoverflow.com/questions/16748030/difference-between-arrays-aslistarray-vs-new-arraylistintegerarrays-aslist 

https://leetcode.com/discuss/33667/average-and-worst-case-java-solution-by-reducing-4sum-to-2sum