RandomVariate (Built-in Mathematica Symbol)

RandomVariate[dist] gives a pseudorandom variate from the symbolic distribution dist.RandomVariate[dist, n] gives a list of n pseudorandom variates from the symbolic ...

Graphics`FilledPlot` (Mathematica Compatibility Information)

Plot, ListPlot, and similar functions have new Filling and FillingStyle options.

GraphML (Mathematica Import/Export Format)

GraphML graph data format. Standard exchange for graphs. GraphML is an acronym derived from Graph Markup Language. XML-based format. Represents typed, attributed, directed, ...

Nearest (Built-in Mathematica Symbol)

Nearest[{elem_1, elem_2, ...}, x] gives the list of elem_i to which x is nearest. Nearest[{elem_1 -> v_1, elem_2 -> v_2, ...}, x] gives the v_i corresponding to the elem_i to ...

ParameterEstimator (Built-in Mathematica Symbol)

ParameterEstimator is an option to EstimatedDistribution and FindDistributionParameters that specifies what parameter estimator to use.

Polytopes Package (Polytopes Package Tutorial)

This package contains functions that give geometrical characteristics of regular polygons. Polygons are identified by name (Digon, Decagon, etc.) in function arguments and in ...

ToContinuousTimeModel (Built-in Mathematica Symbol)

ToContinuousTimeModel[sys] gives the continuous-time approximation of the discrete-time TransferFunctionModel or StateSpaceModel object sys.ToContinuousTimeModel[tf, s] gives ...

BooleanMinimize (Built-in Mathematica Symbol)

BooleanMinimize[expr] finds a minimal-length disjunctive normal form representation of expr.BooleanMinimize[expr, form] finds a minimal-length representation for expr in the ...

Dynamic (Built-in Mathematica Symbol)

Dynamic[expr] represents an object that displays as the dynamically updated current value of expr. If the displayed form of Dynamic[expr] is interactively changed or edited, ...

PearsonDistribution (Built-in Mathematica Symbol)

PearsonDistribution[a_1, a_0, b_2, b_1, b_0] represents a distribution of the Pearson family with parameters a_1, a_0, b_2, b_1, and b_0.PearsonDistribution[type, a_1, a_0, ...