Defining local constants. Module allows you to set up local variables, to which you can assign values and then change them. Often, however, all you really need are local ...
One of the important features of Mathematica is that it can do symbolic, as well as numerical calculations. This means that it can handle algebraic formulas as well as ...
Orthogonalize[{v_1, v_2, ...}] gives an orthonormal basis found by orthogonalizing the vectors v_i.Orthogonalize[{e_1, e_2, ...}, f] gives a basis for the e_i orthonormal ...
CUDASort[vec] sorts the input vector.CUDASort[mem] sorts CUDAMemory in place.CUDASort[vec, op] sorts input with respect to the ordering function op.
BeniniDistribution[\[Alpha], \[Beta], \[Sigma]] represents a Benini distribution with shape parameters \[Alpha] and \[Beta] and scale parameter \[Sigma].
DagumDistribution[p, a, b] represents a Dagum distribution with shape parameters p and a and scale parameter b.
ErlangDistribution[k, \[Lambda]] represents the Erlang distribution with shape parameter k and rate \[Lambda].
FRatioDistribution[n, m] represents an F-ratio distribution with n numerator and m denominator degrees of freedom.
FrechetDistribution[\[Alpha], \[Beta]] represents the Frechet distribution with shape parameter \[Alpha] and scale parameter \[Beta].FrechetDistribution[\[Alpha], \[Beta], ...
InverseChiSquareDistribution[\[Nu]] represents an inverse \[Chi]^2 distribution with \[Nu] degrees of freedom.InverseChiSquareDistribution[\[Nu], \[Xi]] represents a scaled ...