Given two arrays, write a function to compute their intersection.
Example 1:
Input: nums1 = [1,2,2,1], nums2 = [2,2]
Output: [2,2]
Example 2:
Input: nums1 = [4,9,5], nums2 = [9,4,9,8,4]
Output: [4,9]
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?
//HashMap Approach: Time: O(n), Space:O(n) public int[] intersect(int[] nums1, int[] nums2) { if (nums1 == null || nums1.length == 0 || nums2 == null || nums2.length == 0) { return new int[0]; } List<Integer> result = new ArrayList<Integer>(); HashMap<Integer, Integer> map = new HashMap<Integer, Integer>(); for (int i = 0; i < nums1.length; i++) { if (!map.containsKey(nums1[i])) { map.put(nums1[i], 1); } else { map.put(nums1[i], map.get(nums1[i]) + 1); } } for (int i = 0; i < nums2.length; i++) { if (map.containsKey(nums2[i])) { result.add(nums2[i]); map.put(nums2[i], map.get(nums2[i]) - 1); if (map.get(nums2[i]) == 0) { map.remove(nums2[i]); } } } int[] ans = new int[result.size()]; for (int i = 0; i < result.size(); i++) { ans[i] = result.get(i); } return ans; } //Two pointer approach: Time: O(nlogn), Space: O(1) //这种方法和349. Intersection of Two Arrays的区别是用一个用set hold结果,一个用list hold结果 public int[] intersect(int[] nums1, int[] nums2) { if (nums1 == null || nums1.length == 0 || nums2 == null || nums2.length == 0) { return new int[0]; } Arrays.sort(nums1); Arrays.sort(nums2); List<Integer> result = new ArrayList<Integer>(); int i = 0; int j = 0; while (i < nums1.length && j < nums2.length) { if (nums1[i] == nums2[j]) { result.add(nums1[i]); i++; j++; } else if (nums1[i] < nums2[j]) { i++; } else { j++; } } int[] ans = new int[result.size()]; for (int k = 0; k < result.size(); k++) { ans[k] = result.get(k); } return ans; }