vSMC
vSMC: Scalable Monte Carlo
chi_squared_distribution.hpp
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2 // vSMC/include/vsmc/rng/chi_squared_distribution.hpp
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4 // vSMC: Scalable Monte Carlo
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31 
32 #ifndef VSMC_RNG_CHI_SQUARED_DISTRIBUTION_HPP
33 #define VSMC_RNG_CHI_SQUARED_DISTRIBUTION_HPP
34 
37 
38 namespace vsmc
39 {
40 
41 namespace internal
42 {
43 
44 template <typename RealType>
45 inline bool chi_squared_distribution_check_param(RealType n)
46 {
47  return n > 0;
48 }
49 
50 } // namespace vsmc::internal
51 
54 template <typename RealType>
56 {
58  ChiSquared, chi_squared, RealType, result_type, n, 1)
60 
61  public:
62  result_type min VSMC_MNE() const { return 0; }
63 
64  result_type max VSMC_MNE() const
65  {
66  return std::numeric_limits<result_type>::max VSMC_MNE();
67  }
68 
69  void reset() { gamma_ = GammaDistribution<RealType>(n() / 2, 2); }
70 
71  private:
73 
74  template <typename RNGType>
75  result_type generate(RNGType &rng, const param_type &param)
76  {
77  if (param == param_)
78  return gamma_(rng);
79 
80  GammaDistribution<RealType> gamma(param.n() / 2, 2);
81 
82  return gamma(rng);
83  }
84 }; // class ChiSquaredDistribution
85 
88 template <typename RealType, typename RNGType>
90  RNGType &rng, std::size_t n, RealType *r, RealType df)
91 {
92  gamma_distribution(rng, n, r, df / 2, static_cast<RealType>(2));
93 }
94 
95 template <typename RealType, typename RNGType>
96 inline void rng_rand(RNGType &rng, ChiSquaredDistribution<RealType> &dist,
97  std::size_t n, RealType *r)
98 {
99  dist(rng, n, r);
100 }
101 
102 } // namespace vsmc
103 
104 #endif // VSMC_RNG_CHI_SQUARED_DISTRIBUTION_HPP
Definition: monitor.hpp:49
#define VSMC_DEFINE_RNG_DISTRIBUTION_1(Name, name, T, T1, p1, v1)
Definition: common.hpp:45
void rng_rand(RNGType &rng, BernoulliDistribution< IntType > &dist, std::size_t n, IntType *r)
#define VSMC_DEFINE_RNG_DISTRIBUTION_OPERATORS
Definition: common.hpp:286
#define VSMC_MNE
Definition: defines.hpp:38
bool chi_squared_distribution_check_param(RealType n)
void chi_squared_distribution(RNGType &rng, std::size_t n, RealType *r, RealType df)
Generating random variates.
void gamma_distribution(RNGType &rng, std::size_t n, RealType *r, RealType alpha, RealType beta)
Generating gamma random variates.