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Using Nearest   (Mathematica Tutorial)
Nearest is used to find elements in a list that are closest to a given data point. Nearest function. Nearest works with numeric lists, tensors, or a list of strings.
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 ...
LinearRecurrence   (Built-in Mathematica Symbol)
LinearRecurrence[ker, init, n] gives the sequence of length n obtained by iterating the linear recurrence with kernel ker starting with initial values ...
Converting between strings, boxes, and expressions. Here is a simple expression. This gives the InputForm of the expression as a string.
Blend   (Built-in Mathematica Symbol)
Blend[{col_1, col_2}, x] gives a color obtained by blending a fraction 1 - x of color col_1 and x of color col_2.Blend[{col_1, col_2, col_3, ...}, x] linearly interpolates ...
MultivariateHypergeometricDistribution   (Built-in Mathematica Symbol)
MultivariateHypergeometricDistribution[n, {m_1, m_2, ..., m_k}] represents a multivariate hypergeometric distribution with n draws without replacement from a collection ...
Executing GUIs   (GUIKit Package Tutorial)
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 ...
Memory Management   (Mathematica Tutorial)
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   (Built-in Mathematica Symbol)
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   (Built-in Mathematica Symbol)
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 ...
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