如何将一个大的正整数n随机地划分为m部分。后置条件:将所有m部件相加,就会给出n.
下面是我的尝试(在java中类似伪代码),但我不认为它会给出一致的随机分布。我首先用n/m除以求出平均部分avg,然后生成m-1随机数,其大小在avg的大小之间(在0& avg和*avg & 2*avg*之间交替生成随机数)。然后,我从原始数n中减去这些m-1数的和,并将它设为m‘’th部分。
假设函数rand(x,y)在x和y之间一致返回一个随机数。
int[] divideUniformlyRandomly(int n, int m)
{
int[] res = new int[m];
int avg = n / m;
int sum = 0;
bool alternator = false;
for(int i = 0; i < m - 1; i++)
{
if(alternator == false)
{
res[i] = rand(0, avg);
alternator = true;
}
else
{
res[i] = rand(avg, 2*avg);
alternator = false;
}
sum += res[i];
}
res[m-1] = n - sum;
return res;
}
发布于 2012-06-30 07:13:39
public double[] divideUniformlyRandomly(double number, int part) {
double uniformRandoms[] = new double[part];
Random random = new Random();
double mean = number / part;
double sum = 0.0;
for (int i=0; i<part / 2; i++) {
uniformRandoms[i] = random.nextDouble() * mean;
uniformRandoms[part - i - 1] = mean + random.nextDouble() * mean;
sum += uniformRandoms[i] + uniformRandoms[part - i -1];
}
uniformRandoms[(int)Math.ceil(part/2)] = uniformRandoms[(int)Math.ceil(part/2)] + number - sum;
return uniformRandoms;
}
发布于 2012-03-29 12:41:11
你应该用m-1均匀分布的栅栏把n除以m个部分.您的代码可以是:
int[] divideUniformlyRandomly(int n, int m)
{
int[] fences = new int[m-1];
for(int i = 0; i < m - 2; i++)
{
fences[i] = rand(0, n-1);
}
Arrays.sort(fences);
int[] result = new int[m];
result[0] = fences[0];
for(int i = 1; i < m - 2; i++)
{
result[i] = fences[i+1] - fences[i];
}
result[m-1] = n - 1 - fences[m-2];
return result;
}
为了说明这一点:
https://stackoverflow.com/questions/9891457
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