我可以将随机数放入数组中,但是我不知道如何检查以确保它们没有重复。我打印出代码,但是数组中没有数字(什么都不打印)。
//puts random numbers into an array
i = 0, j = 0;
srand(time(NULL));
for (i = 0; i < arrSize; i++)
{
randArr[i] = randNums(1,50);
}
i = 0;
for(i = 0; i < arrSize; i++)
{
printf("%d ", randArr[i]);
}
printf("\n\n");
//checks to make sure there are no duplicates
i = 0, j = 0, k = 0, temp = 0;
for (i = 0; i < arrSize; i++)
{
for (j = 1; j <= arrSize;)
{
if (randArr[j] == randArr[i])
{
for (k = j; k <= arrSize; k++)
{
temp = randNums(1,50);
randArr[k + 1] = temp;
}
arrSize--;
}
else
j++;
}
}
//generates random numbers between the inputed max and min
int randNums(int min, int max)
{
int result = 0, low = 0, high = 0;
if (min < max)
{
low = min;
high = max + 1;
}
else
{
low = max + 1;
high = min;
}
result = (rand() % (high - low)) + low;
return (result);
}
答案 0 :(得分:1)
当心!解决此问题的方法有很多,它们都有一个或另一个缺点。如果我要快速实现它,我会选择这样的东西(无需过多进行C
魔术操作):
#include <stdbool.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#define SIZE (30)
#define RAND_MIN (1)
#define RAND_MAX (50)
static int randNums(int min, int max) {
// ...
}
int main(void) {
(void) srand(time(NULL));
int arr[SIZE];
int used = 0;
while (used < SIZE) {
int num = randNums(RAND_MIN, RAND_MAX);
bool exists = false;
for (int i = 0; i < used; ++i) {
if (arr[i] == num)
exists = true;
}
if (exists == false)
arr[used++] = num;
}
for (int i = 0; i < SIZE; ++i)
(void) printf("%d\n", arr[i]);
return EXIT_SUCCESS;
}
我希望这会有所帮助:)
答案 1 :(得分:0)
与this answer类似,您可以执行rejection sampling,但是对于非常简单的哈希集,固定数量的样本的均匀分布是理想的。 (尽管渐近运行时可能与n=6
无关。)
#include <stdlib.h> /* (s)rand */
#include <stdio.h> /* printf */
#include <time.h> /* clock */
#include <assert.h> /* assert */
/* Double-pointers are confusing. */
struct Reference { int *ref; };
/* Simple fixed hash set. */
static struct Reference bins[256];
static int nums[6];
static const size_t no_bins = sizeof bins / sizeof *bins,
no_nums = sizeof nums / sizeof *nums;
static size_t count_num;
/* Uniformly distributed numbers are great for hashing, but possibly clump
together under linear probing. */
static size_t hash(const int n) { return ((size_t)n * 21) % no_bins; }
/* Linear probing. */
static struct Reference *probe(const int n) {
size_t bin_index;
struct Reference *bin;
assert(sizeof bins > sizeof nums);
for(bin_index = hash(n); bin = bins + bin_index,
bin->ref && *bin->ref != n; bin_index = (bin_index + 1) % no_bins);
return bin;
}
/* Return whether it's a new value. */
static int put_in_set(const int n) {
struct Reference *bin = probe(n);
int *num;
assert(count_num < no_nums);
if(bin->ref) return 0; /* Already in hash. */
num = nums + count_num++;
*num = n;
bin->ref = num;
return 1;
}
/* http://c-faq.com/lib/randrange.html */
static int rand_range(const unsigned n) {
unsigned int x = (RAND_MAX + 1u) / n;
unsigned int y = x * n;
unsigned int r;
assert(n > 0);
do {
r = rand();
} while(r >= y);
return r / x;
}
/* Generates random numbers between the inputed max and min without
repetition; [min, max] inclusive. */
static int unique_uniform(const int min, const int max) {
int n;
assert(min <= max && (size_t)(max - min) >= count_num);
do { n = rand_range(max - min + 1) + min; } while(!put_in_set(n));
return n;
}
int main(void) {
int n = 6;
srand((int)clock()), rand(); /* My computer always picks the same first? */
while(n--) { printf("%d\n", unique_uniform(1, 50)); }
return EXIT_SUCCESS;
}
但是,如果数字密集排列(例如unique_uniform(1, 6)
),它将拒绝很多数字。另一种解决方案是将Poisson个分布式数字作为运行总和(递归T(n+1)=T(n)+\mu_{n+1}
),其中期望值是数字范围除以总样本的数量,然后取random permutation