@小花
Given two arrays, write a function to compute their intersection.
Example:
Given nums1 = [1, 2, 2, 1]
, nums2 = [2, 2]
, return [2]
.
Note:
- Each element in the result must be unique.
- The result can be in any order
题目描述还比较清楚,就是找交集。第一种方法就是直接用JAVA的HashSet来实现相关的算法,实现的方法如下所示:
public class Solution {
public int[] intersection(int[] nums1, int[] nums2) {
Set<Integer> set = new HashSet<>();
Set<Integer> intersect = new HashSet<>();
for (int i = 0; i < nums1.length; i++) {
set.add(nums1[i]);
}
for (int i = 0; i < nums2.length; i++) {
if (set.contains(nums2[i])) {
intersect.add(nums2[i]);
}
}
int[] result = new int[intersect.size()];
int i = 0;
for (Integer num : intersect) {
result[i++] = num;
}
return result;
}
}
其实这个代码已经比较简洁,使用两个HashSet的空间复杂度,但是这样的时间复杂度依旧是o(n),并且借助了java内部的HashSet的数据结构。
下面再附一个使用二分查找实现的代码:
其实个人认为这个非要使用二分查找有点牵强,或者说有些多余,其实也就是实现了容器内部的contains的功能,实现方法和上面一个代码没有什么大的区别。
public class Solution {
public int[] intersection(int[] nums1, int[] nums2) {
Set<Integer> set = new HashSet<>();
Arrays.sort(nums2);
for (Integer num : nums1) {
if (binarySearch(nums2, num)) {
set.add(num);
}
}
int i = 0;
int[] result = new int[set.size()];
for (Integer num : set) {
result[i++] = num;
}
return result;
}
public boolean binarySearch(int[] nums, int target) {
int low = 0;
int high = nums.length - 1;
while (low <= high) {
int mid = low + (high - low) / 2;
if (nums[mid] == target) {
return true;
}
if (nums[mid] > target) {
high = mid - 1;
} else {
low = mid + 1;
}
}
return false;
}
}
其实个人认为这个非要使用二分查找有点牵强,或者说有些多余,其实也就是实现了容器内部的contains的功能,实现方法和上面一个代码没有什么大的区别。
接下来要说,如果题目变一下,考虑下面这个题目描述(350. Intersection of Two Arrays II):
Given two arrays, write a function to compute their intersection.
Example:
Given nums1 = [1, 2, 2, 1]
, nums2 = [2, 2]
, return [2, 2]
.
Note:
- Each element in the result should appear as many times as it shows in both arrays.
- The result can be in any order.
Follow up:
- What if the given array is already sorted? How would you optimize your algorithm?
- What if nums1's size is small compared to nums2's size? Which algorithm is better?
- What if elements of nums2 are stored on disk, and the memory is limited such that you cannot load all elements into the memory at once?
public class Solution {
public int[] intersect(int[] nums1, int[] nums2) {
List<Integer> list = new ArrayList();
Arrays.sort(nums1);
Arrays.sort(nums2);
for(int i=0,j=0;i< nums1.length&&j<nums2.length;)
{
if(nums1[i] < nums2[j])
i++;
else if(nums1[i] > nums2[j])
j++;
else{
list.add(nums1[i]);
i++;j++;
}
}
int i = 0;
int[] result = new int[list.size()];
for (Integer num : list) {
result[i++] = num;
}
return result;
}
}