Closed ytnoahn closed 4 years ago
Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays.
Follow up: The overall run time complexity should be O(log (m+n)).
Example 1:
Input: nums1 = [1,3], nums2 = [2] Output: 2.00000 Explanation: merged array = [1,2,3] and median is 2. Example 2:
Input: nums1 = [1,2], nums2 = [3,4] Output: 2.50000 Explanation: merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5. Example 3:
Input: nums1 = [0,0], nums2 = [0,0] Output: 0.00000 Example 4:
Input: nums1 = [], nums2 = [1] Output: 1.00000 Example 5:
Input: nums1 = [2], nums2 = [] Output: 2.00000
Constraints:
nums1.length == m nums2.length == n 0 <= m <= 1000 0 <= n <= 1000 1 <= m + n <= 2000 -106 <= nums1[i], nums2[i] <= 106
Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays.
Follow up: The overall run time complexity should be O(log (m+n)).
Example 1:
Input: nums1 = [1,3], nums2 = [2] Output: 2.00000 Explanation: merged array = [1,2,3] and median is 2. Example 2:
Input: nums1 = [1,2], nums2 = [3,4] Output: 2.50000 Explanation: merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5. Example 3:
Input: nums1 = [0,0], nums2 = [0,0] Output: 0.00000 Example 4:
Input: nums1 = [], nums2 = [1] Output: 1.00000 Example 5:
Input: nums1 = [2], nums2 = [] Output: 2.00000
Constraints:
nums1.length == m nums2.length == n 0 <= m <= 1000 0 <= n <= 1000 1 <= m + n <= 2000 -106 <= nums1[i], nums2[i] <= 106