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medianOfTwoSortedArray.java
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56 lines (49 loc) · 1.64 KB
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/*4. Median of Two Sorted Arrays
* Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays.
* 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.
*/
import java.util.*;
public class medianOfTwoSortedArray {
public static double median(int[] nums1, int[] nums2){
//Step1: Concatenate the nums1 and nums2 arrays.
int mergedLen = nums1.length + nums2.length;
int[] mergedArr = new int[mergedLen];
int mergedIndex = 0;
for(int element1 : nums1){
mergedArr[mergedIndex++] = element1;
}
for(int element2 : nums2){
mergedArr[mergedIndex++] = element2;
}
//Step2 : Sort the resultant array.
Arrays.sort(mergedArr);
//Step3 : Find median
double resultValue;
if(mergedLen%2 == 0){
resultValue = (mergedArr[mergedLen/2 - 1] + mergedArr[mergedLen/2]) / 2.0;
}else{
resultValue = mergedArr[mergedLen/2];
}
return resultValue;
}
public static void main(String[] args) {
int[] nums1 = {1,3};
int[] nums2 = {2};
double result = median(nums1, nums2);
System.out.println(result);
}
}
/*Steps:
* 1. concatenate the elements of nums1 and nums2 into third array.
* 2. Sort that resultant array.
* 3. Find median as per length of the array
*/