DGaussianWavelet[] represents a derivative of Gaussian wavelet of derivative order 2.DGaussianWavelet[n] represents a derivative of Gaussian wavelet of derivative order n.
DirichletL[k, j, s] gives the Dirichlet L-function L(\[Chi], s) for the Dirichlet character \[Chi](n) with modulus k and index j.
EllipticNomeQ[m] gives the nome q corresponding to the parameter m in an elliptic function.
ErlangDistribution[k, \[Lambda]] represents the Erlang distribution with shape parameter k and rate \[Lambda].
InverseErfc[s] gives the inverse complementary error function obtained as the solution for z in s = erfc(z).
InverseHaversine[z] gives the inverse haversine function hav -1 (z).
LaplaceDistribution[\[Mu], \[Beta]] represents a Laplace double-exponential distribution with mean \[Mu] and scale parameter \[Beta].
LogLogisticDistribution[\[Gamma], \[Sigma]] represents a log-logistic distribution with shape parameter \[Gamma] and scale parameter \[Sigma].
MathieuC[a, q, z] gives the even Mathieu function with characteristic value a and parameter q.
MathieuS[a, q, z] gives the odd Mathieu function with characteristic value a and parameter q.