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StringReverse   (Built-in Mathematica Symbol)
StringReverse["string"] reverses the order of the characters in " string".
Nearest   (Built-in Mathematica Symbol)
Nearest[{elem_1, elem_2, ...}, x] gives the list of elem_i to which x is nearest. Nearest[{elem_1 -> v_1, elem_2 -> v_2, ...}, x] gives the v_i corresponding to the elem_i to ...
New in 6.0: Alphabetical Listing   (Mathematica Guide)
By far the largest release since Version 1.0 in 1988, Version 6.0 added a remarkable breadth of new functionality. As well as introducing several major new fundamental ...
RandomChoice   (Built-in Mathematica Symbol)
RandomChoice[{e_1, e_2, ...}] gives a pseudorandom choice of one of the e_i. RandomChoice[list, n] gives a list of n pseudorandom choices. RandomChoice[list, {n_1, n_2, ...}] ...
ParallelTable   (Built-in Mathematica Symbol)
ParallelTable[expr, {i_max}] generates in parallel a list of i_max copies of expr.ParallelTable[expr, {i, i_max}] generates in parallel a list of the values of expr when i ...
FindClusters   (Built-in Mathematica Symbol)
FindClusters[{e_1, e_2, ...}] partitions the e i into clusters of similar elements. FindClusters[{e_1 -> v_1, e_2 -> v_2, ...}] returns the v_i corresponding to the e i in ...
Summary of New Features in 7.0   (Mathematica Guide)
The introduction of Mathematica 6 in 2007 represented a revolutionary redefinition of Mathematica. Arriving only 18 months after Mathematica 6, Mathematica 7 represents ...
Histogram   (Built-in Mathematica Symbol)
Histogram[{x_1, x_2, ...}] plots a histogram of the values x_i.Histogram[{x_1, x_2, ...}, bspec] plots a histogram with bin width specification bspec.Histogram[{x_1, x_2, ...
GraphPlot   (Built-in Mathematica Symbol)
GraphPlot[{v i 1 -> v j 1, v i 2 -> v j 2, ...}] generates a plot of the graph in which vertex v_ik is connected to vertex v_jk.GraphPlot[{{v i 1 -> v j 1, lbl_1}, ...}] ...
EstimatedDistribution   (Built-in Mathematica Symbol)
EstimatedDistribution[data, dist] estimates the parametric distribution dist from data.EstimatedDistribution[data, dist, {{p, p_0}, {q, q_0}, ...}] estimates the parameters ...
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