Interacting with GUIs (GUIKit Package Tutorial)

This tutorial discusses how the GUIObject expression for a running GUI can be a handle to the widgets that make up the interface. This lets you get runtime information about ...

DiscreteShift (Built-in Mathematica Symbol)

DiscreteShift[f, i] gives the discrete shift DiscreteShift[f(i), i] == f(i + 1). DiscreteShift[f, {i, n}] gives the multiple shift \[DiscreteShift]_i^n\ f.DiscreteShift[f, ...

SmoothKernelDistribution (Built-in Mathematica Symbol)

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

MathLink Development in C (Windows) (Mathematica Tutorial)

This document describes how to compile and run MathLink programs written in the C language on computers running a Microsoft Windows operating system. ("MathLink and External ...

Numerical Solution of Partial ... (Mathematica Tutorial)

The numerical method of lines is a technique for solving partial differential equations by discretizing in all but one dimension, and then integrating the semi-discrete ...

Coordinate Systems for ... (Mathematica Tutorial)

Whenever Mathematica draws a three-dimensional object, it always effectively puts a cuboidal box around the object. With the default option setting Boxed->True, Mathematica ...

ExtremeValueDistribution (Built-in Mathematica Symbol)

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

Integers (Built-in Mathematica Symbol)

Integers represents the domain of integers, as in x \[Element] Integers.

OrderDistribution (Built-in Mathematica Symbol)

OrderDistribution[{dist, n}, k] represents the k\[Null]^th-order statistics distribution for n observations from the distribution dist.OrderDistribution[{dist, n}, {k_1, k_2, ...

MaxStableDistribution (Built-in Mathematica Symbol)

MaxStableDistribution[\[Mu], \[Sigma], \[Xi]] represents a generalized maximum extreme value distribution with location parameter \[Mu], scale parameter \[Sigma], and shape ...