Lines Matching refs:beta_

37   , beta_(1.0)  in Rayleigh()
49 , beta_(0.0) in Rayleigh()
62 return (beta_ == other.beta_) && (gamma_ == other.gamma_); in operator ==()
78 << " beta=" << beta_ in __repr__()
86 oss << getClassName() << "(beta = " << beta_ << ", gamma = " << gamma_ << ")"; in __str__()
110 return Point(1, gamma_ + beta_ * std::sqrt(-2.0 * std::log(RandomGenerator::Generate()))); in getRealization()
121 const Scalar y = x / beta_; in computeDDF()
122 const Scalar beta2 = beta_ * beta_; in computeDDF()
123 return Point(1, -std::exp(-0.5 * y * y) * (x - beta_) * (x + beta_) / (beta2 * beta2)); in computeDDF()
134 const Scalar y = x / (beta_ * beta_); in computePDF()
144 const Scalar y = x / (beta_ * beta_); in computeLogPDF()
156 const Scalar y = x / beta_; in computeCDF()
163 return 1.0 + 0.5 * (SpecFunc::EulerConstant - M_LN2) + std::log(beta_); in computeEntropy()
177 const Scalar t = beta_ * x / std::sqrt(2.0); in computeCharacteristicFunction()
189 const Scalar beta2 = beta_ * beta_; in computePDFGradient()
191 const Scalar factor2 = (x - beta_) * (x + beta_); in computePDFGradient()
192 pdfGradient[0] = factor1 * (factor2 - beta2) / beta_; in computePDFGradient()
206 cdfGradient[0] = -x * pdf / beta_; in computeCDFGradient()
215 if (tail) return gamma_ + beta_ * std::sqrt(-2.0 * std::log(prob)); in computeScalarQuantile()
216 return gamma_ + beta_ * std::sqrt(-2.0 * log1p(-prob)); in computeScalarQuantile()
223 mean_ = Point(1, gamma_ + 1.253314137315500251207882 * beta_); in computeMean()
231 return Point(1, 0.6551363775620335530939357 * beta_); in getStandardDeviation()
265 covariance_(0, 0) = 0.429203673205103380768678 * beta_ * beta_; in computeCovariance()
272 return {beta_, gamma_}; in getParameter()
293 if (beta != beta_) in setBeta()
295 beta_ = beta; in setBeta()
304 return beta_; in getBeta()
328 adv.saveAttribute( "beta_", beta_ ); in save()
337 adv.loadAttribute( "sigma_", beta_ ); in load()
339 adv.loadAttribute( "beta_", beta_ ); in load()