Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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correlated_rng.cpp File Reference
#include <cmath>
#include <cstddef>
#include <iomanip>
#include <iostream>
#include <limits>
#include <memory>
#include <random>
#include <stdexcept>
#include <string>
#include <vector>
#include <algorithm>
Include dependency graph for correlated_rng.cpp:

Go to the source code of this file.

Classes

struct  IMarginalDistribution
 Abstract interface for scalar marginal distributions. More...
 
struct  IDecomposition
 
class  CorrelationMatrixValidator
 
class  CholeskyDecomposition
 
class  GaussianMarginal
 One-dimensional Gaussian marginal distribution. More...
 
class  DistributionFactory
 
class  JointDistribution
 Multivariate distribution represented through marginals and a copula. More...
 

Typedefs

using Matrix = std::vector< std::vector< double > >
 
using Vector = std::vector< double >
 

Functions

Matrix readMatrixFromStdin ()
 
void printVector (const Vector &v)
 
void printUsage (const char *prog)
 
int main (int argc, char **argv)
 

Typedef Documentation

◆ Matrix

using Matrix = std::vector<std::vector<double> >

Definition at line 13 of file correlated_rng.cpp.

◆ Vector

using Vector = std::vector<double>

Definition at line 14 of file correlated_rng.cpp.

Function Documentation

◆ main()

int main ( int  argc,
char **  argv 
)

Definition at line 188 of file correlated_rng.cpp.

◆ printUsage()

void printUsage ( const char *  prog)

Definition at line 175 of file correlated_rng.cpp.

◆ printVector()

void printVector ( const Vector v)

Definition at line 35 of file correlated_rng.cpp.

◆ readMatrixFromStdin()

Matrix readMatrixFromStdin ( )

Definition at line 19 of file correlated_rng.cpp.