There are two sorted arrays A and B of size m and n respectively. Find the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)).
method 1, time complexity = O(max{m,n})
public class Solution { public double findMedianSortedArrays(int A[], int B[]) { double result = 0; if(A.length != 0 || B.length != 0){ if(A.length == 0) result = (B[(B.length - 1)/2] + B[B.length/2]) / 2.0; if(B.length == 0) result = (A[(A.length - 1)/2] + A[A.length/2]) / 2.0; int length = A.length + B.length; int[] total = new int[length]; int index1 = 0; int index2 = 0; for(int i = 0; i < length / 2 + 1; ++ i){ if(index1 < A.length && index2 < B.length){ if(A[index1] <= B[index2]){ total[i] = A[index1]; ++index1; } else{ total[i] = B[index2]; ++index2; } } else if(index1 == A.length){ total[i] = B[index2]; ++index2; } else{ total[i] = A[index1]; ++index1; } } result = (total[(length - 1)/2] + total[length /2]) / 2.0; } return result; }}
The O(log(m + n)) method
public class Solution { public double findMedianSortedArrays(int A[], int B[]) { int alen = A.length, blen = B.length; if((alen + blen) % 2 != 0) //odd number of elements in total return findHelper(A, B, (alen + blen) / 2 + 1, 0, alen - 1, 0, blen - 1); else //even number of elements in total return (findHelper(A, B, (alen + blen) / 2, 0, alen - 1, 0, blen - 1) + findHelper(A, B, (alen + blen) / 2 + 1, 0, alen - 1, 0, blen - 1)) / 2.0; } private int findHelper(int A[], int B[], int k, int startA, int endA, int startB, int endB){ if(endA < startA) return B[startB + k - 1]; if(endB < startB) return A[startA + k - 1]; if(k == 1) return Math.min(A[startA], B[startB]); int lenA = endA - startA + 1; int lenB = endB - startB + 1; if(lenA > lenB) return findHelper(B, A, k, startB, endB, startA, endA); else { int aMid = Math.min(k / 2, lenA); int bMid = k - aMid; if(A[startA + aMid - 1] < B[startB + bMid - 1]) return findHelper(A, B, k - aMid, startA + aMid, endA, startB, endB); else if(A[startA + aMid - 1] > B[startB + bMid - 1]) return findHelper(A, B, k - bMid, startA, endA, startB + bMid, endB); else //A[startA + aMid - 1] == B[startB + bMid - 1] return A[startA + aMid - 1]; } }}