public class Solution {
    public double findMedianSortedArrays(int[] nums1, int[] nums2) {
        int m = nums1.length;
        int n = nums2.length;
        int k = m + n;
        
        if((k&1)==1)
        {
            return find(nums1, 0, m, nums2, 0, n, k/2+1);
        }else
            return (find(nums1, 0, m, nums2, 0, n, k/2)+find(nums1, 0, m, nums2, 0, n, k/2+1))/2;
    }
    //递归算法,不断缩小两个数组的范围,同时k的值也相对两个搜索区间上限起始点而改变
    public double find(int[] A, int aStart, int aEnd, int[] B, int bStart, int bEnd,int kth)
    {
    //1. 统一将长度短的放置于find函数参数的前面项
        if(aEnd>bEnd) 
            return find(B, bStart, bEnd, A, aStart, aEnd, kth);
        
    //2. 长度短的为空,则答案等同于求另外一个数组的中位数
        if(aEnd<=0) 
            return B[bStart + kth -1];
        
    //3. 递归到终点,两个数组的aStart和bStart已经到了中位数的位置
        if(kth==1)
            return min(A[aStart],B[bStart]);
        
        int pa = min(kth/2,aEnd), pb = kth-pa;
        
        if(A[aStart + pa-1]< B[bStart +pb -1])
            return find(A, aStart+pa, aEnd-pa, B, bStart, bEnd, kth-pa );
        else
            return find(A, aStart, aEnd, B, bStart + pb, bEnd - pb,kth-pb);
        
        
    }
    public int min(int a, int b)
    {
        return a>b?b:a;
    }
}LeetCode【4】. Median of Two Sorted Arrays --java的不同方法实现
原文地址:http://blog.csdn.net/waycaiqi/article/details/46122905