SiegelTheta (Built-in Mathematica Symbol)

SiegelTheta[\[CapitalOmega], s] gives the Siegel theta function \[CapitalTheta] (\[CapitalOmega], s) with Riemann modular matrix \[CapitalOmega] and vector ...

SinhIntegral (Built-in Mathematica Symbol)

SinhIntegral[z] gives the hyperbolic sine integral function Shi(z).

TransferFunctionZeros (Built-in Mathematica Symbol)

TransferFunctionZeros[tf] gives a matrix of roots of the numerators in the TransferFunctionModel object tf.

ExtremeValueDistribution (Built-in Mathematica Symbol)

ExtremeValueDistribution[\[Alpha], \[Beta]] represents an extreme value distribution with location parameter \[Alpha] and scale parameter \[Beta].

HoytDistribution (Built-in Mathematica Symbol)

HoytDistribution[q, \[Omega]] represents a Hoyt distribution with shape parameter q and spread parameter \[Omega].

KalmanEstimator (Built-in Mathematica Symbol)

KalmanEstimator[ss, {w, v}] constructs the Kalman estimator for the StateSpaceModel object ss with process and measurement noise covariance matrices w and v. ...

N (Built-in Mathematica Symbol)

N[expr] gives the numerical value of expr. N[expr, n] attempts to give a result with n-digit precision.

SkewNormalDistribution (Built-in Mathematica Symbol)

SkewNormalDistribution[\[Mu], \[Sigma], \[Alpha]] represents a skew-normal distribution with shape parameter \[Alpha], location parameter \[Mu], and scale parameter \[Sigma].

Tensors (Mathematica Tutorial)

Tensors are mathematical objects that give generalizations of vectors and matrices. In Mathematica, a tensor is represented as a set of lists, nested to a certain number of ...

BinormalDistribution (Built-in Mathematica Symbol)

BinormalDistribution[{\[Mu]_1, \[Mu]_2}, {\[Sigma]_1, \[Sigma]_\ 2}, \[Rho]] represents a bivariate normal distribution with mean {\[Mu]_1, \[Mu]_2} and covariance matrix ...