在 C++ 中生成组合
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Generating combinations in c++
提问by Keneth Adrian
I have been searching a source code for generating combination using c++. I found some advanced codes for this but that is good for only specific number predefined data. Can anyone give me some hints, or perhaps, some idea to generate combination. As an example, suppose the set S = { 1, 2, 3, ...., n} and we pick r= 2 out of it. The input would be n
and r
.In this case, the program will generate arrays of length two, like 5 2 outputs 1 2, 1 3, etc.. I had difficulty in constructing the algorithm. It took me a month thinking about this.
我一直在搜索使用 C++ 生成组合的源代码。我为此找到了一些高级代码,但这仅适用于特定数量的预定义数据。谁能给我一些提示,或者一些产生组合的想法。例如,假设集合 S = { 1, 2, 3, ...., n} 并且我们从中选出 r=2。输入将是n
和r
。在这种情况下,程序将生成长度为 2 的数组,例如 5 2 输出 1 2、1 3 等。我在构建算法时遇到了困难。我花了一个月的时间思考这个问题。
回答by mitchnull
A simple way using std::next_permutation
:
一种简单的使用方法std::next_permutation
:
#include <iostream>
#include <algorithm>
#include <vector>
int main() {
int n, r;
std::cin >> n;
std::cin >> r;
std::vector<bool> v(n);
std::fill(v.end() - r, v.end(), true);
do {
for (int i = 0; i < n; ++i) {
if (v[i]) {
std::cout << (i + 1) << " ";
}
}
std::cout << "\n";
} while (std::next_permutation(v.begin(), v.end()));
return 0;
}
or a slight variation that outputs the results in an easier to follow order:
或以更易于遵循的顺序输出结果的轻微变化:
#include <iostream>
#include <algorithm>
#include <vector>
int main() {
int n, r;
std::cin >> n;
std::cin >> r;
std::vector<bool> v(n);
std::fill(v.begin(), v.begin() + r, true);
do {
for (int i = 0; i < n; ++i) {
if (v[i]) {
std::cout << (i + 1) << " ";
}
}
std::cout << "\n";
} while (std::prev_permutation(v.begin(), v.end()));
return 0;
}
A bit of explanation:
一点解释:
It works by creating a "selection array" (v
), where we place r
selectors, then we create all permutations of these selectors, and print the corresponding set member if it is selected in in the current permutation of v
. Hope this helps.
它通过创建一个“选择数组”(v
)来工作,我们在其中放置r
选择器,然后我们创建这些选择器的所有排列,如果在 的当前排列中被选中,则打印相应的集合成员v
。希望这可以帮助。
回答by CapelliC
You can implement it if you note that for each level ryou select a number from 1 to n.
如果您注意到为每个级别r选择一个从 1 到n的数字,则可以实现它。
In C++, we need to 'manually' keep the state between calls that produces results (a combination): so, we build a class that on construction initialize the state, and has a member that on each call returns the combination while there are solutions: for instance
在 C++ 中,我们需要“手动”保持产生结果的调用之间的状态(组合):因此,我们构建了一个在构造时初始化状态的类,并有一个成员在每次调用时返回组合,同时有解决方案: 例如
#include <iostream>
#include <iterator>
#include <vector>
#include <cstdlib>
using namespace std;
struct combinations
{
typedef vector<int> combination_t;
// initialize status
combinations(int N, int R) :
completed(N < 1 || R > N),
generated(0),
N(N), R(R)
{
for (int c = 1; c <= R; ++c)
curr.push_back(c);
}
// true while there are more solutions
bool completed;
// count how many generated
int generated;
// get current and compute next combination
combination_t next()
{
combination_t ret = curr;
// find what to increment
completed = true;
for (int i = R - 1; i >= 0; --i)
if (curr[i] < N - R + i + 1)
{
int j = curr[i] + 1;
while (i <= R-1)
curr[i++] = j++;
completed = false;
++generated;
break;
}
return ret;
}
private:
int N, R;
combination_t curr;
};
int main(int argc, char **argv)
{
int N = argc >= 2 ? atoi(argv[1]) : 5;
int R = argc >= 3 ? atoi(argv[2]) : 2;
combinations cs(N, R);
while (!cs.completed)
{
combinations::combination_t c = cs.next();
copy(c.begin(), c.end(), ostream_iterator<int>(cout, ","));
cout << endl;
}
return cs.generated;
}
test output:
测试输出:
1,2,
1,3,
1,4,
1,5,
2,3,
2,4,
2,5,
3,4,
3,5,
4,5,
回答by timothyzhang
my simple and efficient solution based on algorithms from Prof. Nathan Wodarz:
我基于Nathan Wodarz 教授算法的简单有效的解决方案:
// n choose r combination
#include <vector>
#include <iostream>
#include <algorithm>
struct c_unique {
int current;
c_unique() {current=0;}
int operator()() {return ++current;}
} UniqueNumber;
void myfunction (int i) {
std::cout << i << ' ';
}
int main()
{
int n=5;
int r=3;
std::vector<int> myints(r);
std::vector<int>::iterator first = myints.begin(), last = myints.end();
std::generate(first, last, UniqueNumber);
std::for_each(first, last, myfunction);
std::cout << std::endl;
while((*first) != n-r+1){
std::vector<int>::iterator mt = last;
while (*(--mt) == n-(last-mt)+1);
(*mt)++;
while (++mt != last) *mt = *(mt-1)+1;
std::for_each(first, last, myfunction);
std::cout << std::endl;
}
}
then output is:
1 2 3
1 2 4
1 2 5
1 3 4
1 3 5
1 4 5
2 3 4
2 3 5
2 4 5
3 4 5
然后输出是:
1 2 3
1 2 4
1 2 5
1 3 4
1 3 5
1 4 5
2 3 4
2 3 5
2 4 5
3 4 5
回答by user1946994
#include<iostream>
using namespace std;
for(int i=1;i<=5;i++)
for (int j=2;j<=5;j++)
if (i!=j)
cout<<i<<","<<j<<","<<endl;
//or instead of cout... you can put them in a matrix n x 2 and use the solution
回答by Deepthi
Code is similar to generating binary digits. Keep an extra data structure, an array perm[], whose value at index i will tell if ith array element is included or not. And also keep a count variable. Whenever count == length of combination, print elements based on perm[].
代码类似于生成二进制数字。保留一个额外的数据结构,一个数组 perm[],其在索引 i 处的值将判断是否包含第 i 个数组元素。并保持一个计数变量。每当计数 == 组合长度时,根据 perm[] 打印元素。
#include<stdio.h>
// a[] : given array of chars
// perm[] : perm[i] is 1 if a[i] is considered, else 0
// index : subscript of perm which is to be 0ed and 1ed
// n : length of the given input array
// k : length of the permuted string
void combinate(char a[], int perm[],int index, int n, int k)
{
static int count = 0;
if( count == k )
{
for(int i=0; i<n; i++)
if( perm[i]==1)
printf("%c",a[i]);
printf("\n");
} else if( (n-index)>= (k-count) ){
perm[index]=1;
count++;
combinate(a,perm,index+1,n,k);
perm[index]=0;
count--;
combinate(a,perm,index+1,n,k);
}
}
int main()
{
char a[] ={'a','b','c','d'};
int perm[4] = {0};
combinate(a,perm,0,4,3);
return 0;
}
回答by TudorT
I'd suggest figuring out how you would do it on paper yourself and infer pseudocode from that. After that, you only need to decide the way to encode and store the manipulated data.
我建议弄清楚你如何自己在纸上做它并从中推断出伪代码。之后,您只需要决定编码和存储操作数据的方式。
For ex:
例如:
For each result item in result array // 0, 1, ... r
For each item possible // 0, 1, 2, ... n
if current item does not exist in the result array
place item in result array
exit the inner for
end if
end for
end for
回答by CashCow
You can use recursion whereby to pick N+1 combinations you pick N combinations then add 1 to it. The 1 you add must always be after the last one of your N, so if your N includes the last element there are no N+1 combinations associated with it.
您可以使用递归来选择 N+1 个组合,然后选择 N 个组合,然后向其中添加 1。您添加的 1 必须始终在 N 中的最后一个之后,因此如果您的 N 包含最后一个元素,则没有与之关联的 N+1 组合。
Perhaps not the most efficient solution but it should work.
也许不是最有效的解决方案,但它应该有效。
Base case would be picking 0 or 1. You could pick 0 and get an empty set. From an empty set you can assume that iterators work between the elements and not at them.
基本情况是选择 0 或 1。你可以选择 0 并得到一个空集。从一个空集合中,您可以假设迭代器在元素之间工作,而不是在元素上工作。
回答by Mike K
this is a recursive method, which you can use on any type. you can iterate on an instance of Combinations class (e.g. or get() vector with all combinations, each combination is a vector of objects. This is written in C++11.
这是一种递归方法,您可以在任何类型上使用它。您可以迭代 Combinations 类的一个实例(例如或 get() 带有所有组合的向量,每个组合都是一个对象向量。这是用 C++11 编写的。
//combinations.hpp
#include <vector>
template<typename T> class Combinations {
// Combinations(std::vector<T> s, int m) iterate all Combinations without repetition
// from set s of size m s = {0,1,2,3,4,5} all permuations are: {0, 1, 2}, {0, 1,3},
// {0, 1, 4}, {0, 1, 5}, {0, 2, 3}, {0, 2, 4}, {0, 2, 5}, {0, 3, 4}, {0, 3, 5},
// {0, 4, 5}, {1, 2, 3}, {1, 2, 4}, {1, 2, 5}, {1, 3, 4}, {1, 3, 5}, {1, 4, 5},
// {2, 3, 4}, {2, 3, 5}, {2, 4, 5}, {3, 4, 5}
public:
Combinations(std::vector<T> s, int m) : M(m), set(s), partial(std::vector<T>(M))
{
N = s.size(); // unsigned long can't be casted to int in initialization
out = std::vector<std::vector<T>>(comb(N,M), std::vector<T>(M)); // allocate space
generate(0, N-1, M-1);
};
typedef typename std::vector<std::vector<T>>::const_iterator const_iterator;
typedef typename std::vector<std::vector<T>>::iterator iterator;
iterator begin() { return out.begin(); }
iterator end() { return out.end(); }
std::vector<std::vector<T>> get() { return out; }
private:
void generate(int i, int j, int m);
unsigned long long comb(unsigned long long n, unsigned long long k); // C(n, k) = n! / (n-k)!
int N;
int M;
std::vector<T> set;
std::vector<T> partial;
std::vector<std::vector<T>> out;
int count (0);
};
template<typename T>
void Combinations<T>::generate(int i, int j, int m) {
// combination of size m (number of slots) out of set[i..j]
if (m > 0) {
for (int z=i; z<j-m+1; z++) {
partial[M-m-1]=set[z]; // add element to permutation
generate(z+1, j, m-1);
}
} else {
// last position
for (int z=i; z<j-m+1; z++) {
partial[M-m-1] = set[z];
out[count++] = std::vector<T>(partial); // add to output vector
}
}
}
template<typename T>
unsigned long long
Combinations<T>::comb(unsigned long long n, unsigned long long k) {
// this is from Knuth vol 3
if (k > n) {
return 0;
}
unsigned long long r = 1;
for (unsigned long long d = 1; d <= k; ++d) {
r *= n--;
r /= d;
}
return r;
}
Test file:
测试文件:
// test.cpp
// compile with: gcc -O3 -Wall -std=c++11 -lstdc++ -o test test.cpp
#include <iostream>
#include "combinations.hpp"
struct Bla{
float x, y, z;
};
int main() {
std::vector<int> s{0,1,2,3,4,5};
std::vector<Bla> ss{{1, .4, 5.0},{2, .7, 5.0},{3, .1, 2.0},{4, .66, 99.0}};
Combinations<int> c(s,3);
// iterate over all combinations
for (auto x : c) { for (auto ii : x) std::cout << ii << ", "; std::cout << "\n"; }
// or get a vector back
std::vector<std::vector<int>> z = c.get();
std::cout << "\n\n";
Combinations<Bla> cc(ss, 2);
// combinations of arbitrary objects
for (auto x : cc) { for (auto b : x) std::cout << "(" << b.x << ", " << b.y << ", " << b.z << "), "; std::cout << "\n"; }
}
output is :
输出是:
0, 1, 2, 0, 1, 3, 0, 1, 4, 0, 1, 5, 0, 2, 3, 0, 2, 4, 0, 2, 5, 0, 3, 4, 0, 3, 5, 0, 4, 5, 1, 2, 3, 1, 2, 4, 1, 2, 5, 1, 3, 4, 1, 3, 5, 1, 4, 5, 2, 3, 4, 2, 3, 5, 2, 4, 5, 3, 4, 5,
0, 1, 2, 0, 1, 3, 0, 1, 4, 0, 1, 5, 0, 2, 3, 0, 2, 4, 0, 2, 5, 0, 3, 4, 0, 3, 5, 0, 4, 5, 1, 2, 3, 1, 2, 4, 1, 2, 5, 1, 3, 4, 1, 3, 5, 1, 4, 5, 2, 3, 4, 2, 3, 5, 2, 4, 5, 3, 4, 5,
(1, 0.4, 5), (2, 0.7, 5), (1, 0.4, 5), (3, 0.1, 2), (1, 0.4, 5), (4, 0.66, 99), (2, 0.7, 5), (3, 0.1, 2), (2, 0.7, 5), (4, 0.66, 99), (3, 0.1, 2), (4, 0.66, 99),
(1, 0.4, 5), (2, 0.7, 5), (1, 0.4, 5), (3, 0.1, 2), (1, 0.4, 5), (4, 0.66, 99), (2) , 0.7, 5), (3, 0.1, 2), (2, 0.7, 5), (4, 0.66, 99), (3, 0.1, 2), (4, 0.66, 99),
回答by Ant6n
For the special case of (n choose r), where r is a fixed constant, we can write r nested loops to arrive at the situation. Sometimes when r is not fixed, we may have another special case (n choose n-r), where r is again a fixed constant. The idea is that every such combination is the inverse of the combinations of (n choose r). So we can again use r nested loops, but invert the solution:
对于(n choose r)的特殊情况,其中 r 是一个固定常数,我们可以编写 r 个嵌套循环来达到这种情况。有时当 r 不固定时,我们可能会有另一种特殊情况(n 选择 nr),其中 r 又是一个固定常数。这个想法是每个这样的组合都是 (n 选择 r) 组合的逆。所以我们可以再次使用 r 嵌套循环,但反转解决方案:
// example 1: choose each 2 from given vector and apply 'doSomething'
void doOnCombinationsOfTwo(const std::vector<T> vector) {
for (int i1 = 0; i1 < vector.size() - 1; i1++) {
for (int i2 = i1 + 1; i2 < vector.size(); i2++) {
doSomething( { vector[i1], vector[i2] });
}
}
}
// example 2: choose each n-2 from given vector and apply 'doSomethingElse'
void doOnCombinationsOfNMinusTwo(const std::vector<T> vector) {
std::vector<T> combination(vector.size() - 2); // let's reuse our combination vector
for (int i1 = 0; i1 < vector.size() - 1; i1++) {
for (int i2 = i1 + 1; i2 < vector.size(); i2++) {
auto combinationEntry = combination.begin(); // use iterator to fill combination
for (int i = 0; i < vector.size(); i++) {
if (i != i1 && i != i2) {
*combinationEntry++ = i;
}
}
doSomethingElse(combinationVector);
}
}
}
回答by Constantin A
vector<list<int>> generate(int N, int K, int& count) {
vector<list<int>> output;
if(K == 1) {
count = N;
for(int i = 1; i <= N; i++) {
list<int> l = {i};
output.push_back(l);
}
} else {
count = 0;
int n;
vector<list<int>> l = generate(N, K - 1, n);
for(auto iter = l.begin(); iter != l.end(); iter++) {
int last = iter->back();
for (int i = last + 1; i <= N; ++i) {
list<int> value = *iter;
value.push_back(i);
output.push_back(value);
count++;
}
}
}
return output;
}