Graphics (Built-in Mathematica Symbol)

Graphics[primitives, options] represents a two-dimensional graphical image.

Image Processing (Mathematica Tutorial)

Mathematica provides built-in support for both programmatic and interactive image processing, fully integrated with Mathematica's powerful mathematical and algorithmic ...

MathLink Development in C (Mac OS X) (Mathematica Tutorial)

This document describes how to compile and run MathLink programs written in the C language on Mac OS X systems. ("MathLink and External Program Communication" describes how ...

Table Structure (DatabaseLink Tutorial)

This section discusses commands that get information about database tables. If you find that the examples in this section do not work as shown, you may need to install or ...

Concurrency: Managing Parallel Processes (Parallel Package Tutorial)

A process is simply a Mathematica expression being evaluated. A processor is a parallel kernel that performs such evaluations. The command ParallelEvaluate discussed in the ...

General Graph Drawing (Mathematica Tutorial)

GraphPlot and GraphPlot3D calculate and plot a visually appealing 2D/3D layout of a graph. The functions are designed to work with very large graphs and handle both connected ...

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 ...

Code Generation (C Code Generator Tutorial)

Code generation from Mathematica involves converting programs written in the Mathematica language into other languages and then supporting them so that they can be executed. ...

FindFit (Built-in Mathematica Symbol)

FindFit[data, expr, pars, vars] finds numerical values of the parameters pars that make expr give a best fit to data as a function of vars. The data can have the form {{x_1, ...

NormalDistribution (Built-in Mathematica Symbol)

NormalDistribution[\[Mu], \[Sigma]] represents a normal (Gaussian) distribution with mean \[Mu] and standard deviation \[Sigma].NormalDistribution[] represents a normal ...