Using TetGenLink (TetGenLink Tutorial)

This section shows some of the ways that TetGenLink can be applied. To use TetGenLink it must first be loaded. Next, some random points are generated and displayed.

Creating an Executable (C Compiler Driver Package Tutorial)

The CCompilerDriver Package lets you work with C compilers that are installed on your computer. It is used automatically by the Mathematica compiler when you set the option ...

GUIKit Example: GraphEditor (GUIKit Package Tutorial)

This example demonstrates the benefit of supplementing Mathematica functionality with GUIKit user interface elements leveraging existing third-party graph model and editing ...

Graphics`MultipleListPlot` (Mathematica Compatibility Information)

MultipleListPlot is replaced by ListPlot and ListLinePlot, which now accept multiple sets of data. Dashing[{Dot,Dash,LongDash}] is replaced with ...

Legend (Plot Legends Package Symbol)

Legend[{{box_1, text_1}, ...}, options] generates a legend with the specified boxes and text.Legend[func, num, options] generates a legend by applying func to numbers between ...

DictionaryLookup (Built-in Mathematica Symbol)

DictionaryLookup[patt] finds all words in an English dictionary that match the string pattern patt.DictionaryLookup[patt, n] gives only the first n words ...

EdgeQ (Built-in Mathematica Symbol)

EdgeQ[g, e] yields True if e is an edge in the graph g and False otherwise.

Flatten (Built-in Mathematica Symbol)

Flatten[list] flattens out nested lists. Flatten[list, n] flattens to level n. Flatten[list, n, h] flattens subexpressions with head h. Flatten[list, {{s_11, s_12, ...}, ...

InputField (Built-in Mathematica Symbol)

InputField[] represents a blank editable input field. InputField[x] represents an editable input field that currently contains the expression x. InputField[Dynamic[x]] takes ...

InternallyBalancedDecomposition (Built-in Mathematica Symbol)

InternallyBalancedDecomposition[ss] yields the internally balanced decomposition of the StateSpaceModel object ss. The result is a list {s, ib} where s is the similarity ...