There are two sorted arrays nums1 and nums2 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)). You may assume nums1 and nums2 cannot be both empty. Example 1: nums1 = [1, 3]
There are two sorted arrays nums1 and nums2 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)). t int MAX = 0x7fffffff, MIN = 0x80000000; int kth(vector<int>& nums1, vec
我们可以通过二分查找法,在log(n)的时间内找到最小数的在数组中的位置,然后通过偏移来快速定位任意第K个数. 此处假设数组中没有相同的数,原排列顺序是递增排列. 在轮转后的有序数组中查找最小数的算法如下: int findIndexOfMin(int num[],int n) { int l = 0; int r = n-1; while(l <= r) { int mid = l + (r - l) / 2; if (num[mid] > num[r]) { l = mid + 1; }
思路: 利用快速排序的划分思想 可以找出前k大数,然后不断划分 直到找到第K大元素 代码: #include <iostream> #include <algorithm> #include <cstdio> using namespace std; int findK(int left, int right, int arr[], int k) { if(left >= right) return arr[left]; int first = left, las
问题:两个已经排好序的数组,找出两个数组合并后的中位数(如果两个数组的元素数目是偶数,返回上中位数). 设两个数组分别是vec1和vec2,元素数目分别是n1.n2. 算法1:最简单的办法就是把两个数组合并.排序,然后返回中位数即可,由于两个数组原本是有序的,因此可以用归并排序中的merge步骤合并两个数组.由于我们只需要返回中位数,因此并不需要真的合并两个数组,只需要模拟合并两个数组:每次选数组中较小的数,统计到第(n1+n2+1)/2个元素就是要找的中位数.算法复杂度为O(n1+n2) in
题目原文 Selection in two sorted arrays. Given two sorted arrays a[] and b[], of sizes n1 and n2, respectively, design an algorithm to find the kth largest key. The order of growth of the worst case running time of your algorithm should be logn, where n
Find the kth largest element in an unsorted array. Note that it is the kth largest element in the sorted order, not the kth distinct element. For example, Given [3,2,1,5,6,4] and k = 2, return 5. Note: You may assume k is always valid, 1 ≤ k ≤ array'
Find the kth largest element in an unsorted array. Note that it is the kth largest element in the sorted order, not the kth distinct element. Example 1: Input: [3,2,1,5,6,4] and k = 2 Output: 5 Example 2: Input: [3,2,3,1,2,4,5,5,6] and k = 4 Output:
