Exemple #1
0
TestData::TestData() {
    
    numelem = 1000;
    weight.resize(numelem, 0);
    value.resize(numelem, 0);
    sum = 0;

    unsigned seed = std::chrono::system_clock::now().time_since_epoch().count();
    mt19937_64 generator(seed);
    for (int i = 0; i < numelem; i++) {
        
        weight[i] = generator()%numelem + 1;     
        sum += weight[i];
        value[i] = weight[i] + 50;
        
    }

    capacity = sum / 2;

    //picked this interval without any underlying criteria
    // unifdist(0,1000);
    default_random_engine random_engine;
    uniform_int_distribution<int> unifdist(1,numelem);
    
    for (int i = 0; i < numelem; i++) {
        
        weight[i] = unifdist(random_engine);     
        sum += weight[i];
        value[i] = weight[i] + 50;
        
    }

    capacity = sum / 2;
    
}
Exemple #2
0
int main() 
{
  // std::default_random_engine generator;
  std::mt19937 generator;
  std::uniform_int_distribution<int> distribution(1,6);
  std::normal_distribution<double> normdist(0.0, 1.0);
  std::uniform_real_distribution<double> unifdist(0.0, 1.0);

  // Bind the generator to the first argument of distribution so that
  // we can call with rng() instead of dist(gen).
  auto rng = std::bind( unifdist, generator );

  for( int i=0; i<25; ++i ) {
    std::cout << rng() << " ";
  }
  std::cout << std::endl;
  
  // Now create a random matrix
  std::valarray<double> v(100);
  for (int i=0; i < v.size(); i++ ) {
    v[i] = rng();
  }



  return 0;
}
Exemple #3
0
TestData::TestData(int numel, bool verbose) {

    numelem = numel;
    weight.resize(numelem, 0);
    value.resize(numelem, 0);
    sum = 0;
    
    default_random_engine random_engine;
    uniform_int_distribution<int> unifdist(1,numelem);
    
    for (int i = 0; i < numelem; i++) {
        
        weight[i] = rand()%numelem + 1;//unifdist(random_engine); 
        sum += weight[i];
        value[i] = weight[i]+rand()%numelem + 1; //+ 50;
        if(verbose)
        cout << i << "weight: " << weight[i] << "\t" << "value: " << value[i] << endl;
        
    }

    capacity = sum / 2;
    if(verbose)
    cout << "Capacity: " << capacity << endl;
    

}
Exemple #4
0
 result sim( std::function<int(double,double)> const& f, len_t N) {
   // Bind the generator to the first argument of distribution so that
   // we can call with rng() instead of dist(gen).
   // auto rng = std::bind( unifdist, generator );
   
   len_t sum = 0;
   for( len_t i=0; i<N; ++i) {
     double x = unifdist(generator);
     double y = unifdist(generator);
     sum += f(x,y);
   }
   result res;
   res.Mean = (1.0*sum)/N;
   res.StDev = sqrt( res.Mean*(1.0 - res.Mean) );
   res.Total = sum;
   res.PointCount = N;
   return res;
 };