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    vSMC
    
   vSMC: Scalable Monte Carlo 
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Multivariate Normal distribution. More...
#include <vsmc/rng/internal/common.hpp>
Classes | |
| class | param_type | 
Public Types | |
| using | distribution_type = NormalMVDistribution< RealType, Dim > | 
| using | result_type = RealType | 
Public Member Functions | |
| NormalMVDistribution (const result_type *mean=nullptr, const result_type *chol=nullptr) | |
Only usable when Dim > 0  More... | |
| NormalMVDistribution (std::size_t dim, const result_type *mean=nullptr, const result_type *chol=nullptr) | |
Only usable when Dim == Dynamic  More... | |
| const result_type * | chol () const | 
| std::size_t | dim () const | 
| void | max (result_type *x) const | 
| const result_type * | mean () const | 
| void | min (result_type *x) const | 
| template<typename RNGType > | |
| void | operator() (RNGType &rng, result_type *r) | 
| template<typename RNGType > | |
| void | operator() (RNGType &rng, result_type *r, const param_type ¶m) | 
| template<typename RNGType > | |
| void | operator() (RNGType &rng, std::size_t n, result_type *r) | 
| template<typename RNGType > | |
| void | operator() (RNGType &rng, std::size_t n, result_type *r, const param_type ¶m) | 
| param_type | param () const | 
| void | param (const param_type ¶m) | 
| void | param (param_type &¶m) | 
| void | reset () | 
Friends | |
| bool | operator!= (const distribution_type &dist1, const distribution_type &dist2) | 
| template<typename CharT , typename Traits > | |
| std::basic_ostream< CharT, Traits > & | operator<< (std::basic_ostream< CharT, Traits > &os, const distribution_type &dist) | 
| bool | operator== (const distribution_type &dist1, const distribution_type &dist2) | 
| template<typename CharT , typename Traits > | |
| std::basic_istream< CharT, Traits > & | operator>> (std::basic_istream< CharT, Traits > &is, distribution_type &dist) | 
Multivariate Normal distribution.
The distribution is parameterized by its mean vector and the lower triangular elements of the Cholesky decomposition of the covaraince matrix, packed row by row.
| RealType | Only float and double are supported.  | 
| Dim | If Dim > 0, then the distribution has a static size and does not use dynamic memory. If Dim == Dynamic, then the dimension of the distribution is specified at runtime.  | 
Definition at line 585 of file common.hpp.
| using vsmc::NormalMVDistribution< RealType, Dim >::distribution_type = NormalMVDistribution<RealType, Dim> | 
Definition at line 59 of file normal_mv_distribution.hpp.
| using vsmc::NormalMVDistribution< RealType, Dim >::result_type = RealType | 
Definition at line 58 of file normal_mv_distribution.hpp.
      
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Only usable when Dim > 0 
| mean | Mean vector, if it is a null pointer, then the mean is a zero vector | 
| chol | The lower triangular elements of the Cholesky decomposition of the covaraince matrix, packed row by row. If it is a nullpointer, then the covariance is the identicy matrix \(I\) | 
Definition at line 218 of file normal_mv_distribution.hpp.
      
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Only usable when Dim == Dynamic 
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 1.8.11