我创建了一个生成稀疏矩阵的函数,但是随机生成器仅生成 1s 的值,我需要使其生成特定范围内的数字。
size_t spare_matrix_generator(int *M, size_t rows, size_t cols)
{
std::random_device rd;
std::mt19937 gen(rd());
gen.seed(time(NULL));
std::binomial_distribution<int> distribution(1, 0.5);
size_t NNZ = 0;
for (szie_t i = 0; i < rows*cols; i++)
{
M[i] = distribution(gen);
std::cout << M[i] << " ";
if (A[i] != 0)
NNZ++;
}
std::cout << std::endl;
return NNZ;
}
假设 5x5 矩阵,上述函数的示例输出如下:
0 1 1 0 0
1 0 0 0 1
0 0 0 1 0
1 0 0 0 1
0 0 0 0 1
答案 0 :(得分:1)
对于[a,b]中带有std::binomial_distribution在0到b-a
之间的随机数,并将a
添加到生成的结果符合输入范围[a,b]:
size_t spare_matrix_generator(int *M, size_t rows, size_t cols)
{
std::random_device rd;
std::mt19937 gen(rd());
gen.seed(time(NULL));
int b = 12, a = 3;
std::binomial_distribution<int> distribution(b-a, 0.5);
// To handle matrix sparsity
float zero_prob = 0.8;
std::mt19937 sparse_gen(rd() + 42);
std::uniform_real_distribution<double> sparse_dist(0.0,1.0);
size_t NNZ = 0;
for (szie_t i = 0; i < rows*cols; i++)
{
if(sparse_dist(sparse_gen) > zero_prob){
M[i] = a + distribution(gen);
} else {
M[i] = 0;
}
std::cout << M[i] << " ";
if (M[i] != 0)
NNZ++;
}
std::cout << std::endl;
return NNZ;
}