我想写一个函数,它以一个字母数组作为参数,并从中选择一些字母。
假设您提供了一个包含8个字母的数组,并希望从中选择3个字母。那么你应该得到:
8! / ((8 - 3)! * 3!) = 56
数组(或单词),每个数组由3个字母组成。
我想写一个函数,它以一个字母数组作为参数,并从中选择一些字母。
假设您提供了一个包含8个字母的数组,并希望从中选择3个字母。那么你应该得到:
8! / ((8 - 3)! * 3!) = 56
数组(或单词),每个数组由3个字母组成。
当前回答
我想提出我的解决方案。在next中没有递归调用,也没有嵌套循环。 代码的核心是next()方法。
public class Combinations {
final int pos[];
final List<Object> set;
public Combinations(List<?> l, int k) {
pos = new int[k];
set=new ArrayList<Object>(l);
reset();
}
public void reset() {
for (int i=0; i < pos.length; ++i) pos[i]=i;
}
public boolean next() {
int i = pos.length-1;
for (int maxpos = set.size()-1; pos[i] >= maxpos; --maxpos) {
if (i==0) return false;
--i;
}
++pos[i];
while (++i < pos.length)
pos[i]=pos[i-1]+1;
return true;
}
public void getSelection(List<?> l) {
@SuppressWarnings("unchecked")
List<Object> ll = (List<Object>)l;
if (ll.size()!=pos.length) {
ll.clear();
for (int i=0; i < pos.length; ++i)
ll.add(set.get(pos[i]));
}
else {
for (int i=0; i < pos.length; ++i)
ll.set(i, set.get(pos[i]));
}
}
}
用法示例:
static void main(String[] args) {
List<Character> l = new ArrayList<Character>();
for (int i=0; i < 32; ++i) l.add((char)('a'+i));
Combinations comb = new Combinations(l,5);
int n=0;
do {
++n;
comb.getSelection(l);
//Log.debug("%d: %s", n, l.toString());
} while (comb.next());
Log.debug("num = %d", n);
}
其他回答
这是我用c++写的命题
我尽可能少地限制迭代器类型,所以这个解决方案假设只有前向迭代器,它可以是const_iterator。这应该适用于任何标准容器。在参数没有意义的情况下,它抛出std:: invalid_argument
#include <vector>
#include <stdexcept>
template <typename Fci> // Fci - forward const iterator
std::vector<std::vector<Fci> >
enumerate_combinations(Fci begin, Fci end, unsigned int combination_size)
{
if(begin == end && combination_size > 0u)
throw std::invalid_argument("empty set and positive combination size!");
std::vector<std::vector<Fci> > result; // empty set of combinations
if(combination_size == 0u) return result; // there is exactly one combination of
// size 0 - emty set
std::vector<Fci> current_combination;
current_combination.reserve(combination_size + 1u); // I reserve one aditional slot
// in my vector to store
// the end sentinel there.
// The code is cleaner thanks to that
for(unsigned int i = 0u; i < combination_size && begin != end; ++i, ++begin)
{
current_combination.push_back(begin); // Construction of the first combination
}
// Since I assume the itarators support only incrementing, I have to iterate over
// the set to get its size, which is expensive. Here I had to itrate anyway to
// produce the first cobination, so I use the loop to also check the size.
if(current_combination.size() < combination_size)
throw std::invalid_argument("combination size > set size!");
result.push_back(current_combination); // Store the first combination in the results set
current_combination.push_back(end); // Here I add mentioned earlier sentinel to
// simplyfy rest of the code. If I did it
// earlier, previous statement would get ugly.
while(true)
{
unsigned int i = combination_size;
Fci tmp; // Thanks to the sentinel I can find first
do // iterator to change, simply by scaning
{ // from right to left and looking for the
tmp = current_combination[--i]; // first "bubble". The fact, that it's
++tmp; // a forward iterator makes it ugly but I
} // can't help it.
while(i > 0u && tmp == current_combination[i + 1u]);
// Here is probably my most obfuscated expression.
// Loop above looks for a "bubble". If there is no "bubble", that means, that
// current_combination is the last combination, Expression in the if statement
// below evaluates to true and the function exits returning result.
// If the "bubble" is found however, the ststement below has a sideeffect of
// incrementing the first iterator to the left of the "bubble".
if(++current_combination[i] == current_combination[i + 1u])
return result;
// Rest of the code sets posiotons of the rest of the iterstors
// (if there are any), that are to the right of the incremented one,
// to form next combination
while(++i < combination_size)
{
current_combination[i] = current_combination[i - 1u];
++current_combination[i];
}
// Below is the ugly side of using the sentinel. Well it had to haave some
// disadvantage. Try without it.
result.push_back(std::vector<Fci>(current_combination.begin(),
current_combination.end() - 1));
}
}
void combine(char a[], int N, int M, int m, int start, char result[]) {
if (0 == m) {
for (int i = M - 1; i >= 0; i--)
std::cout << result[i];
std::cout << std::endl;
return;
}
for (int i = start; i < (N - m + 1); i++) {
result[m - 1] = a[i];
combine(a, N, M, m-1, i+1, result);
}
}
void combine(char a[], int N, int M) {
char *result = new char[M];
combine(a, N, M, M, 0, result);
delete[] result;
}
在第一个函数中,m表示还需要选择多少个,start表示必须从数组中的哪个位置开始选择。
算法:
从1数到2^n。 将每个数字转换为二进制表示。 根据位置,将每个“on”位转换为集合中的元素。
在c#中:
void Main()
{
var set = new [] {"A", "B", "C", "D" }; //, "E", "F", "G", "H", "I", "J" };
var kElement = 2;
for(var i = 1; i < Math.Pow(2, set.Length); i++) {
var result = Convert.ToString(i, 2).PadLeft(set.Length, '0');
var cnt = Regex.Matches(Regex.Escape(result), "1").Count;
if (cnt == kElement) {
for(int j = 0; j < set.Length; j++)
if ( Char.GetNumericValue(result[j]) == 1)
Console.Write(set[j]);
Console.WriteLine();
}
}
}
为什么它能起作用?
在n元素集的子集和n位序列之间存在双射。
这意味着我们可以通过数数序列来计算出有多少个子集。
例如,下面的四个元素集可以用{0,1}X {0,1} X {0,1} X{0,1}(或2^4)个不同的序列表示。
我们要做的就是从1数到2^n来找到所有的组合。(我们忽略空集。)接下来,将数字转换为二进制表示。然后将集合中的元素替换为“on”位。
如果只需要k个元素的结果,则只在k位为“on”时打印。
(如果你想要所有的子集,而不是k长度的子集,删除cnt/kElement部分。)
(有关证明,请参阅麻省理工学院免费课件计算机科学数学,雷曼等,第11.2.2节。https://ocw.mit.edu/courses/electrical -工程-和-计算机- science/6 - 042 j -数学- -计算机科学-下降- 2010/readings/)
遵循Haskell代码同时计算组合数和组合,由于Haskell的惰性,您可以得到其中的一部分而无需计算另一部分。
import Data.Semigroup
import Data.Monoid
data Comb = MkComb {count :: Int, combinations :: [[Int]]} deriving (Show, Eq, Ord)
instance Semigroup Comb where
(MkComb c1 cs1) <> (MkComb c2 cs2) = MkComb (c1 + c2) (cs1 ++ cs2)
instance Monoid Comb where
mempty = MkComb 0 []
addElem :: Comb -> Int -> Comb
addElem (MkComb c cs) x = MkComb c (map (x :) cs)
comb :: Int -> Int -> Comb
comb n k | n < 0 || k < 0 = error "error in `comb n k`, n and k should be natural number"
comb n k | k == 0 || k == n = MkComb 1 [(take k [k-1,k-2..0])]
comb n k | n < k = mempty
comb n k = comb (n-1) k <> (comb (n-1) (k-1) `addElem` (n-1))
它是这样工作的:
*Main> comb 0 1
MkComb {count = 0, combinations = []}
*Main> comb 0 0
MkComb {count = 1, combinations = [[]]}
*Main> comb 1 1
MkComb {count = 1, combinations = [[0]]}
*Main> comb 4 2
MkComb {count = 6, combinations = [[1,0],[2,0],[2,1],[3,0],[3,1],[3,2]]}
*Main> count (comb 10 5)
252
在c#中:
public static IEnumerable<IEnumerable<T>> Combinations<T>(this IEnumerable<T> elements, int k)
{
return k == 0 ? new[] { new T[0] } :
elements.SelectMany((e, i) =>
elements.Skip(i + 1).Combinations(k - 1).Select(c => (new[] {e}).Concat(c)));
}
用法:
var result = Combinations(new[] { 1, 2, 3, 4, 5 }, 3);
结果:
123
124
125
134
135
145
234
235
245
345