This package contains functions that give geometrical characteristics of regular polygons. Polygons are identified by name (Digon, Decagon, etc.) in function arguments and in ...
LinearRecurrence[ker, init, n] gives the sequence of length n obtained by iterating the linear recurrence with kernel ker starting with initial values ...
MultivariateHypergeometricDistribution[n, {m_1, m_2, ..., m_k}] represents a multivariate hypergeometric distribution with n draws without replacement from a collection ...
One of the most basic features of GUIKit is loading and executing an existing user interface application. This can be accomplished in one step in either a modal or modeless ...
Finding memory usage. Particularly for symbolic computations, memory is usually the primary resource which limits the size of computations you can do. If a computation runs ...
ProbabilityPlot[list] generates a plot of the CDF of list against the CDF of a normal distribution.ProbabilityPlot[dist] generates a plot of the CDF of the distribution dist ...
ProbabilityScalePlot[{x_1, x_2, ...}] generates a normal probability plot of the samples x_i. ProbabilityScalePlot[{x_1, x_2, ...}, " dist"] generates a probability plot ...
In addition to importing ZIP files stored on your machine, Mathematica can also import ZIP files directly from a URL. In most cases, processing data in ZIP files is ...
CellularAutomaton[rule, init, t] generates a list representing the evolution of the cellular automaton with the specified rule from initial condition init for t steps. ...
Using the objects described in "Introduction to Patterns", you can set up patterns for many kinds of expressions. In all cases, you must remember that the patterns must ...