FrechetDistribution (Built-in Mathematica Symbol)

FrechetDistribution[\[Alpha], \[Beta]] represents the Frechet distribution with shape parameter \[Alpha] and scale parameter \[Beta].FrechetDistribution[\[Alpha], \[Beta], ...

LogLogisticDistribution (Built-in Mathematica Symbol)

LogLogisticDistribution[\[Gamma], \[Sigma]] represents a log-logistic distribution with shape parameter \[Gamma] and scale parameter \[Sigma].

MatrixExp (Built-in Mathematica Symbol)

MatrixExp[m] gives the matrix exponential of m. MatrixExp[m, v] gives the matrix exponential of m applied to the vector v.

PascalDistribution (Built-in Mathematica Symbol)

PascalDistribution[n, p] represents a Pascal distribution with parameters n and p.

Sec (Built-in Mathematica Symbol)

Sec[z] gives the secant of z.

Tan (Built-in Mathematica Symbol)

Tan[z] gives the tangent of z.

Arbitrary-Precision Numbers (Mathematica Tutorial)

When you do calculations with arbitrary-precision numbers, Mathematica keeps track of precision at all points. In general, Mathematica tries to give you results which have ...

Nonlinear PDEs (Mathematica Tutorial)

The general first-order nonlinear PDE for an unknown function u(x,y) is given by Here F is a function of uu(x,y), p ( ∂u(x,y) ) / ( ∂x ) , and q ( ∂u(x,y) ) / ( ∂y ) . The ...

KernelMixtureDistribution (Built-in Mathematica Symbol)

KernelMixtureDistribution[{x_1, x_2, ...}] represents a kernel mixture distribution based on the data values x_i.KernelMixtureDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...

ZipfDistribution (Built-in Mathematica Symbol)

ZipfDistribution[\[Rho]] represents a zeta distribution with parameter \[Rho].ZipfDistribution[n, \[Rho]] represents a Zipf distribution with range n.