aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
gammaLog2_inl.h
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40#pragma once
41
48
49namespace gum {
50
51 ALWAYS_INLINE double GammaLog2::gammaLog2(double x) const {
52 if (x <= 0) GUM_ERROR(OutOfBounds, "log2(gamma()) should be called with a positive argument")
53
54 // if x is small, use precomputed values
55 if (x < 50) {
56 if (x >= 0.01) {
58 const Idx index = int(x * 100);
59 return _small_values_[index]
60 + (_small_values_[index + 1] - _small_values_[index]) * double(x * 100 - index);
61 } else {
62 const Idx index = int(x * 100 + 0.5);
63 return _small_values_[index];
64 }
65 } else {
66 // for very small values of x, Gamma(x) is approximately equal to
67 // 1/x. Hence gammaLog2(x) is approximately equal to log2(1/x)
68 return std::log2(1.0 / x);
69 }
70 }
71
72 // returns the approximation by the stirling formula
73 return (_log_sqrt_2pi_ + (x - 0.5f) * log(x) - x + log(1.0 + 1.0 / (12 * x))) * _inv_log2_;
74 }
75
76 ALWAYS_INLINE double GammaLog2::operator()(double x) const { return gammaLog2(x); }
77
78 INLINE void GammaLog2::setPrecision(bool prec) { _requires_precision_ = prec; }
79
80} /* namespace gum */
static constexpr double _log_sqrt_2pi_
The value of std::log ( std::sqrt(2pi) ).
Definition gammaLog2.h:140
static constexpr double _inv_log2_
The value of 1 / std::log(2).
Definition gammaLog2.h:137
bool _requires_precision_
Indicates whether we need more precision for small values.
Definition gammaLog2.h:134
double gammaLog2(double x) const
Returns log2 ( gamma (x) ) for x >= 0.
static const std::vector< double > _small_values_
The 5000 values from 0 to 50 by step of 1/100.
Definition gammaLog2.h:143
double operator()(double x) const
Returns log2 ( gamma (x) ) for x > 0.
void setPrecision(bool p)
Sets whether we need more precision for small values.
Exception : out of bound.
#define GUM_ERROR(type, msg)
Definition exceptions.h:72
Size Idx
Type for indexes.
Definition types.h:79
gum is the global namespace for all aGrUM entities
Definition agrum.h:46