带额外内存:
您可以使用存储桶来获得 O(N + MAX_NUM) 的复杂度。所以当 MAX_NUM
#include <iostream>
#include <list>
#include <algorithm>
#include <ctime>
const int MAX_NUM = 20;
const int N = 10;
int main() {
std::list<int> numbers;
int buckets[MAX_NUM];
std::fill(buckets, buckets + MAX_NUM, 0);
srand(time(NULL));
for (int i = 0; i < N; i++) numbers.push_back(rand() % MAX_NUM);
// computing
for (auto it = numbers.begin(); it != numbers.end(); ++it) {
buckets[*it]++;
}
//printing answers
for (int i = 0; i < MAX_NUM; i++) {
if (buckets[i]) std::cout << "value " << i << " appears in the list " << buckets[i] << " times." <<std::endl;
}
return 0;
}
对于大数据,我建议将 std::unordered_map 用于存储桶,然后获得 O(N) 复杂度(感谢散列):
#include <iostream>
#include <list>
#include <algorithm>
#include <ctime>
#include <unordered_map>
const int N = 10;
const int MAX_NUM = 20;
int main() {
std::list<int> numbers;
std::unordered_map<int, int> buckets;
srand(time(NULL));
for (int i = 0; i < N; i++) numbers.push_back(rand() % MAX_NUM);
// computing
for (auto it = numbers.begin(); it != numbers.end(); ++it) {
buckets[*it]++;
}
//printing answers
for (auto & k_v : buckets) {
std::cout << "value " << k_v.first << " appears in the list " << k_v.second << " times." <<std::endl;
}
return 0;
}
无需额外内存:
以更通用的方式,您可以使用 std::vector 代替 std::list 和 std::sort ,然后在简单的 for 中计算值的变化。复杂度为 O(N log N):
#include <iostream>
#include <vector>
#include <algorithm>
#include <ctime>
const int N = 10;
const int MAX_NUM = 20;
int main() {
std::vector<int> numbers;
srand(time(NULL));
for (int i = 0; i < N; i++) numbers.push_back(rand() % MAX_NUM);
// sorting
std::sort(numbers.begin(), numbers.end());
//printing answers for sorted vector
if (numbers.size() > 0) {
int act_count = 1;
for (int i = 1; i < numbers.size(); i++) {
if (numbers[i] != numbers[i -1]) {
std::cout << "value " << numbers[i-1] << " appears in the list " << act_count << " times." <<std::endl;
act_count = 1;
} else {
act_count++;
}
}
std::cout << "value " << numbers[numbers.size() - 1] << " appears in the list " << act_count << " times." <<std::endl;
}
return 0;
}
你也可以在std::list上做上面的,也得到O(nlogn),但是不能使用std::sort:
#include <iostream>
#include <list>
#include <ctime>
const int N = 10;
const int MAX_NUM = 20;
int main() {
std::list<int> numbers;
srand(time(NULL));
for (int i = 0; i < N; i++) numbers.push_back(rand() % MAX_NUM);
// sorting
numbers.sort();
//printing answers for sorted list
if (!numbers.empty()) {
int act_count = 0;
auto prev = numbers.begin();
for (auto it = numbers.begin(); it != numbers.end(); it++) {
if (*it != *prev) {
std::cout << "value " << *it << " appears in the list " << act_count << " times." <<std::endl;
act_count = 1;
} else {
act_count++;
}
prev = it;
}
std::cout << "value " << *prev << " appears in the list " << act_count << " times." <<std::endl;
}
return 0;
}