• 求给定两个排序好的数组中第k大的数


    这个问题比求两个长度相等的排序数组的上中位数难度要高一点,难就难在不是求中位数了,但是我们要学会举一反三,可以尝试通过分析将求第k大的数转化为求中位数。将数组中不可能的数排除,在剩下可能的数中求中位数,这样就会产生3情况:

    首先声明:两个数组,长度唱的为lenl,长度短的为lens。

    1.k<lens;

    2.lens<k<lenl

    3,lenl<k<lenl+lens

    4.k<1或k>lenl+lens,报错

    代码实现:

    public class UpMedian{
        //求相同长度排序数组的中位数
        public static int getUpMedian(int[] arr1,int start1,int end1,int[] arr2,int start2,int end2) {
            if(arr1==null || arr1.length<=0 || arr2==null || arr2.length<=0) {
                System.out.println("Array is valid");
                return -1;
            }
            
            if(arr1.length!=arr2.length) {
                System.out.println("Array length is valid");
                return -1;
            }
            
            int middle1 = 0;
            int middle2 =0;
            //用来区分数组长度为奇偶数
            int offset = 0;
            
            while(start1 < end1) {
                middle1 = (start1+end1)>>1;
                middle2 = (start2+end2)>>1;
                offset = ((end1-start1+1)&1)^1;
                
                if(arr1[middle1] > arr2[middle2]) {
                    end1=middle1;
                    start2=middle2+offset;
                } else if(arr1[middle1] < arr2[middle2]) {
                    start1 = middle1 +offset;
                    end2 = middle2;
                } else {
                    return arr1[middle1];
                }
            }
            
            return Math.min(arr1[start1], arr2[start2]);
        }
    
        public static int fingKthNum(int[] arr1, int[] arr2, int k) {
            if(arr1==null || arr2==null || arr1.length<=0 || arr2.length<=0) {
                throw new RuntimeException("Array is valid");
            }
            
            if(k<1 || k>(arr1.length+arr2.length)) {
                throw new RuntimeException("kth is valid");
            }
            
            int res = 0;
            int[] longs = arr1.length>arr2.length ?arr1 : arr2;
            int[] shorts = arr1.length>arr2.length ?arr2 : arr1;
            
            int l = longs.length;
            int s = shorts.length;
            
            if(k<=s) {
                res = getUpMedian(arr1, 0, k-1, arr2, 0, k-1);
            } else if(k<=l) {
                if(longs[k-s-1]>=shorts[s-1]) {
                    res = longs[k-s-1];
                } else {
                    res = getUpMedian(shorts, 0, s-1, longs, k-s, k-1);
                }
            } else if(k>l){
                if(longs[k-s-1]>=shorts[s-1]) {
                    res = longs[k-s-1];
                } else if(shorts[k-l-1]>=longs[l-1]) {
                    res = shorts[k-l-1];
                } else {
                    res = getUpMedian(shorts, k-l, s-1, longs, k-s, l-1);
                }
            }
            return res;
        }
        
    
        public static void main(String[] args) {
            int[] a1 = {1,2,5,7};
            int[] a2 = {2,3,8,10};
            System.out.println(fingKthNum(a1, a2, 4));
        }
    }
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  • 原文地址:https://www.cnblogs.com/loren-Yang/p/7478716.html
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