The general symbolic string patterns in Mathematica allow you to perform powerful string manipulation efficiently. What follows discusses the details of string patterns, ...
HypergeometricDistribution[n, n_succ, n_tot] represents a hypergeometric distribution.
SkellamDistribution[\[Mu]_1, \[Mu]_2] represents a Skellam distribution with shape parameters \[Mu]_1 and \[Mu]_2.
MicroscopePlot[f, {x, a}] plots the expression f in a small neighborhood of a using machine arithmetic.MicroscopePlot[f, {x, a, n}] plots f from a - n ulps to a + n ulps.
MicroscopicErrorPlot[f, {x, a}] plots the error incurred by using machine arithmetic to evaluate the expression f in a small neighborhood of a.MicroscopicErrorPlot[f, {x, a, ...
Mathematica's symbolic architecture allows a unique representation and treatment of images in both programs and documents. Mathematica supports images with arbitrary numbers ...
In calculus, infinite sums and products can pose a challenge to manipulate by hand. Mathematica can evaluate a huge number of different types of sums and products with ease.
SendMail[rules] sends an email message built up from the elements specified in rules.
A common operation in analyzing various kinds of data is to find the discrete Fourier transform (or spectrum) of a list of values. The idea is typically to pick out ...
The built-in Mathematica iteration functions such as Table and Sum evaluate their arguments in a slightly special way. When evaluating an expression like Table[f,{i,i_max}], ...