Graph Utilities Package (Graph Utilities Package Tutorial)

The Graph Utilities Package contains a number of functions useful for graph theory applications. Functions in the Graph Utilities Package. This loads the package.

DesignMatrix (Built-in Mathematica Symbol)

DesignMatrix[{{x_11, x_12, ..., y_1}, {x_21, x_22, ..., y_2}, ...}, {f_1, f_2, ...}, {x_1, x_2, ...}] constructs the design matrix for the linear model \[Beta]_0 + \[Beta]_1 ...

Configuring and Monitoring (Parallel Package Tutorial)

Mathematica provides a number of tools for configuring and monitoring parallel computations. Some of these are accessed using menus from the Mathematica notebook front end. ...

GenomeData (Built-in Mathematica Symbol)

GenomeData["gene"] gives the DNA sequence for the specified gene on the reference human genome.GenomeData["gene", " property"] gives the value of the specified property for ...

Manipulating Expressions in External ... (Mathematica Tutorial)

Mathematica expressions provide a very general way to handle all kinds of data, and you may sometimes want to use such expressions inside your external programs. A language ...

FromSymbolicXML (XML Package Symbol)

FromSymbolicXML[expr] converts a SymbolicXML expression expr to a more native format, if one is available.

FindSequenceFunction (Built-in Mathematica Symbol)

FindSequenceFunction[{a_1, a_2, a_3, ...}] attempts to find a simple function that yields the sequence a_n when given successive integer arguments.FindSequenceFunction[{{n_1, ...

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 ...

DirectedInfinity (Built-in Mathematica Symbol)

DirectedInfinity[] represents an infinite numerical quantity whose direction in the complex plane is unknown. DirectedInfinity[z] represents an infinite numerical quantity ...

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, ...}, ...