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, ...

Resonance Absorption Lines Package (Resonance Absorption Lines Package Tutorial)

The functions defined in ResonanceAbsorptionLines` allow you to efficiently search through an atomic data table for resonance absorption lines. Other functions give ...

Streams and Low-Level Input and Output (Mathematica Tutorial)

Files and pipes are both examples of general Mathematica objects known as streams. A stream in Mathematica is a source of input or output. There are many operations that you ...

ListSurfacePlot3D (Built-in Mathematica Symbol)

ListSurfacePlot3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] plots a three-dimensional surface constructed to fit the specified points.

Button (Built-in Mathematica Symbol)

Button[label, action] represents a button that is labeled with label, and evaluates action whenever it is clicked.

ListCorrelate (Built-in Mathematica Symbol)

ListCorrelate[ker, list] forms the correlation of the kernel ker with list. ListCorrelate[ker, list, k] forms the cyclic correlation in which the k \[Null]^th element of ker ...

Hierarchical Clustering Package (Hierarchical Clustering Package Tutorial)

The function FindClusters finds clusters in a dataset based on a distance or dissimilarity function. This package contains functions for generating cluster hierarchies and ...

Parallel Computation (Compiled Function Tools Tutorial)

The Mathematica compiler can run computations in parallel. It does this by threading a compiled function over lists of data in parallel. A first step is to create a compiled ...

ReplacePart (Built-in Mathematica Symbol)

ReplacePart[expr, i -> new] yields an expression in which the i\[Null]\[Null]^th part of expr is replaced by new. ReplacePart[expr, {i_1 -> new_1, i_2 -> new_2, ...}] ...

BatesDistribution (Built-in Mathematica Symbol)

BatesDistribution[n] represents the distribution of a mean of n random variables uniformly distributed from 0 to 1.BatesDistribution[n, {min, max}] represents the ...