min是返回两个元素中值最小的元素,而min_element是返回给定范围中值最小的元素。注意两者之间的区别,一个是两个数比较,而另一个是多个值之间比较。 intnData[10] = {1,3,4,2,5,8,1,2,10,2};int* n = max_element(nData,nData+10);//结果:10intnn = max(1,5); //结果:5int* m = min_...
#include <string.h> #include <vector> #include <iostream> #include <algorithm> using namespace std; int main() { int N=5, M=6; vector<vector<int> > obj(N, vector<int>(M)); //定义二维动态数组5行6列 for(int i=0; i< obj.size(); i++)//输出二维动态数组 { for(int j=0;...
#include<iostream> #include<algorithm> #define MAX_V 100 #define INF 1000 using namespace std; int main() { int V,E; int i,j,m,n; int cost[MAX_V][MAX_V]; int mincost[MAX_V]; bool used[MAX_V]; cin>>V>>E; fill(mincost,mincost+V+1,INF); fill(used,used+V,false); ...
#include <iostream>#include <algorithm>template <typename Iter>typename std::iterator_traits<Iter>::value_type find_max(Iter first, Iter last) {return *std::max_element(first, last);}int main() { int numbers[] = { 10, 20, 30, 40, 50 }; int max = find_max(std::begin(num...
算法(Algorithm),是用来操作容器中的数据的模板函数。例如,STL用sort()来对一个vector中的数据进行排序,用find()来搜索一个list中的对象,函数本身与他们操作的数据的结构和类型无关,因此他们可以在从简单数组到高度复杂容器的任何数据结构上使用; 仿函数(Functor) ...
#include<algorithm> using namespace std; void printElem(int& elem) { cout<<elem<<endl; } int main() { int ia[]={0,1,2,3,4,5,6}; int *i=find(ia,ia+7,9);//在整个数组中查找元素 9 int *j=find(ia,ia+7,3);//在整个数组中查找元素 3 ...
#include<iostream>#include<algorithm>using namespace std;// 堆排序:(最大堆,有序区)。从堆顶把根卸出来放在有序区之前,再恢复堆。voidmax_heapify(int arr[],int start,int end){//建立父节点指标和子节点指标int dad=start;int son=dad*2+1;while(son<=end){//若子节点在范围内才做比较if(son...
P0202R3 constexpr for <algorithm> and exchange() VS 2019 16.6 20 P0357R3 Supporting Incomplete Types In reference_wrapper VS 2019 16.6 20 P0619R4 Removing C++17-Deprecated Features In C++20 VS 2019 16.6 20 P0879R0 constexpr for swapping functions VS 2019 16.6 20 P0883...
N4562 Library Fundamentals: <algorithm> sample() VS 2017 15.0 N4562 Library Fundamentals: <any> VS 2017 15.0 N4562 Library Fundamentals: <memory_resource> P0337R0 Deleting polymorphic_allocator Assignment VS 2017 15.6 N4562 Library Fundamentals: <optional> VS 2017 15.0 N4562...
Give an O(nlgn) time algorithm to find the longest monotonically increasing subsequence of a sequence of n numbers. (Hint: Observe that the last element of a candidate subsequence of length i is at least as large as the last element of a candidate subsequence of length i - 1. Maintain ca...