vSMC
vSMC: Scalable Monte Carlo
extreme_value_distribution.hpp
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2 // vSMC/include/vsmc/rng/extreme_value_distribution.hpp
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4 // vSMC: Scalable Monte Carlo
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31 
32 #ifndef VSMC_RNG_EXTREME_VALUE_DISTRIBUTION_HPP
33 #define VSMC_RNG_EXTREME_VALUE_DISTRIBUTION_HPP
34 
37 
38 namespace vsmc
39 {
40 
41 namespace internal
42 {
43 
44 template <typename RealType>
45 inline bool extreme_value_distribution_check_param(RealType, RealType b)
46 {
47  return b > 0;
48 }
49 
50 } // namespace vsmc::internal
51 
54 template <typename RealType>
56 {
57  VSMC_DEFINE_RNG_DISTRIBUTION_2(ExtremeValue, extreme_value, a, 0, b, 1)
58 
59  public:
60  result_type min() const
61  {
62  return std::numeric_limits<result_type>::lowest();
63  }
64 
65  result_type max() const { return std::numeric_limits<result_type>::max(); }
66 
67  void reset() {}
68 
69  private:
70  template <typename RNGType>
71  result_type generate(RNGType &rng, const param_type &param)
72  {
74 
75  return param.a() - param.b() * std::log(-std::log(u01(rng)));
76  }
77 }; // class ExtremeValueDistribution
78 
79 namespace internal
80 {
81 
82 template <typename RealType, typename RNGType>
84  RNGType &rng, std::size_t n, RealType *r, RealType a, RealType b)
85 {
86  u01_distribution(rng, n, r);
87  log(n, r, r);
88  mul(n, static_cast<RealType>(-1), r, r);
89  log(n, r, r);
90  fma(n, -b, r, a, r);
91 }
92 
93 } // namespace vsmc::internal
94 
97 template <typename RealType, typename RNGType>
99  RNGType &rng, std::size_t n, RealType *r, RealType a, RealType b)
100 {
101  static_assert(std::is_floating_point<RealType>::value,
102  "**extreme_value_distribution** USED WITH RealType OTHER THAN "
103  "FLOATING POINT TYPES");
104 
105  const std::size_t k = 1024;
106  const std::size_t m = n / k;
107  const std::size_t l = n % k;
108  for (std::size_t i = 0; i != m; ++i, r += k)
111 }
112 
113 VSMC_DEFINE_RNG_DISTRIBUTION_RAND_2(ExtremeValue, extreme_value, a, b)
114 
115 } // namespace vsmc
116 
117 #endif // VSMC_RNG_EXTREME_VALUE_DISTRIBUTION_HPP
Definition: monitor.hpp:49
void mul(std::size_t n, const float *a, const float *b, float *y)
Definition: vmath.hpp:112
#define VSMC_DEFINE_RNG_DISTRIBUTION_2(Name, name, p1, v1, p2, v2)
Definition: common.hpp:374
void extreme_value_distribution_impl(RNGType &rng, std::size_t n, RealType *r, RealType a, RealType b)
void u01_distribution(RNGType &, std::size_t, RealType *)
Generate standard uniform random variates.
void extreme_value_distribution(RNGType &rng, std::size_t n, RealType *r, RealType a, RealType b)
Generating extreme_value random variates.
void fma(std::size_t n, const T *a, const T *b, const T *c, T *y)
For , compute .
Definition: vmath.hpp:257
Standard uniform distribution.
Definition: common.hpp:597
#define VSMC_DEFINE_RNG_DISTRIBUTION_RAND_2(Name, name, p1, p2)
Definition: common.hpp:409
void log(std::size_t n, const float *a, float *y)
Definition: vmath.hpp:148
bool extreme_value_distribution_check_param(RealType, RealType b)