For additional notes that apply to this portion of the standard, please see the notes for rPr, §17.7.5.4(a); rPr, §17.7.6.2(a); rPr, §17.7.9.1(a); rPr, §17.9.24(a). a. The standard states that the oMath run property can be applied to any run. Word only supports the o...
For additional notes that apply to this portion of the standard, please see the notes for comment, §17.13.4.2(c); cellDel, §17.13.5.1(a); del, §17.13.5.13(a); ins, §17.13.5.18(b). a. The standard states that the rPr (Previous Run Properties) element is a valid child. Word ...
/** 2221 * compute the gamma function of a value using lanczos approximation for 2222 * small values , and an extended stirling approximation for large 2223 * values . 2224 * @ param n a real or complex number 2225 * @ returns the gamma of n 2226 */ 2227 gamma < t extends number ...
IConsole2::QueryScopeImageList method (Windows) IHeaderCtrl2::SetColumnText method (Windows) CHPtrArray::operator [] method (Windows) WBEMTime::GetLocalOffsetForDate methods (Windows) Win32_FileSpecification class (Windows) Win32_FontInfoAction class (Windows) Win32_PowerSettingDataIndex class (Wi...
org.apache.commons.math3.distribution.GammaDistribution.class org.apache.commons.math3.distribution.GeometricDistribution.class org.apache.commons.math3.distribution.GumbelDistribution.class org.apache.commons.math3.distribution.HypergeometricDistribution.class org.apache.commons.math3.distribution.Integer...
"). </action> <action dev="tn" type="fix" issue="MATH-1241" due-to="Aleksei Dievskii"> A "StackOverflowException" was thrown when passing Double.NaN or infinity to "Gamma#digamma(double)" or "Gamma#trigamma(double)". Now the input value is propagated to the output if it is not...
name_scope(name, "kl_gamma_gamma", values=[ g0.concentration, g0.rate, g1.concentration, g1.rate]): # Result from: # http://www.fil.ion.ucl.ac.uk/~wpenny/publications/densities.ps # For derivation see: # http://stats.stackexchange.com/questions/11646/kullback-leibler-divergence-...
def _log_gamma_log_prob_grad(self, x, event_dims=()): """Computes log-pdf and gradient of a log-gamma random variable. Args: x: Value of the random variable. event_dims: Dimensions not to treat as independent. Default is (), i.e., all dimensions are independent. Returns: log_pr...
def_multi_digamma(self, a, p, name='multi_digamma'):"""Computes the multivariatedigammafunction; Psi_p(a)."""withops.name_scope(self.name):withops.name_scope(name, values=[a, p]): seq = self._multi_gamma_sequence(a, p)returnmath_ops.reduce_sum(math_ops.digamma(seq), ...
Convergence of Sequences of Functions Parameter Estimation - Part 2 (German Tank Problem) Pool Part 2: Banks and Kicks Convexity and Jensen's Inequality How do mathematicians model randomness? Parameter Estimation - Part 3 (Minimum-Variance Unbiased Estimator) ...