QuantilePlot (Built-in Mathematica Symbol)

QuantilePlot[list] generates a plot of quantiles of list against the quantiles of a normal distribution.QuantilePlot[dist] generates a plot of quantiles of the distribution ...

OpenCLImplicitRender3D (OpenCLLink Symbol)

OpenCLImplicitRender3D[poly, vars, r] ray traces the implicit surface poly = 0 as a function of vars with bound sphere of radius r.

Writing Java Programs That Use ... (JLink Tutorial)

The first part of this User Guide describes using J/Link to allow you to call from Mathematica into Java, thereby extending the Mathematica environment to include the ...

XML Reference (GUIKit Package Tutorial)

This tutorial documents the XML representation of the user interface definition, GUIKitXML for short. This is a DTD representing the current GUIKit XML definitions. Use the ...

Finite Fields Package (Finite Fields Package Tutorial)

A field is an algebraic structure obeying the rules of ordinary arithmetic. In particular, a field has binary operations of addition and multiplication, both of which are ...

Transforming XML (XML Package Tutorial)

Mathematica is uniquely suited for processing symbolic expressions because of its powerful pattern-matching abilities and large collection of built-in structural manipulation ...

HyperbolicDistribution (Built-in Mathematica Symbol)

HyperbolicDistribution[\[Alpha], \[Beta], \[Delta], \[Mu]] represents a hyperbolic distribution with location parameter \[Mu], scale parameter \[Delta], shape parameter ...

RegionPlot3D (Built-in Mathematica Symbol)

RegionPlot3D[pred, {x, x_min, x_max}, {y, y_min, y_max}, {z, z_min, z_max}] makes a plot showing the three-dimensional region in which pred is True.

Summary of New Features in 6.0 (Mathematica Guide)

Mathematica 6.0 fundamentally redefined Mathematica and introduced a major new paradigm for computation. Building on Mathematica's time-tested core symbolic architecture, ...

SurvivalDistribution (Built-in Mathematica Symbol)

SurvivalDistribution[{e_1, e_2, ...}] represents a survival distribution with event times e_i.SurvivalDistribution[{w_1, w_2, ...} -> {e_1, e_2, ...}] represents a survival ...