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MathieuGroupM12   (Built-in Mathematica Symbol)
MathieuGroupM12[] represents the sporadic simple Mathieu group M_12.
Add Error Bars to Charts and Plots   (Mathematica How To)
Plots of data based on measurements often have vertical lines or intervals centered at the points to indicate the associated error estimates. Mathematica lets you add such ...
BinLists   (Built-in Mathematica Symbol)
BinLists[{x_1, x_2, ...}] gives lists of the elements x_i whose values lie in successive integer bins.BinLists[{x_1, x_2, ...}, dx] gives lists of the elements x_i whose ...
New in 7.0: Alphabetical Listing   (Mathematica Guide)
The release of Mathematica 6 in May 2007 represented a revolution in the development of Mathematica. Building on this revolution, Mathematica 7 not only greatly broadens and ...
Partition   (Built-in Mathematica Symbol)
Partition[list, n] partitions list into non-overlapping sublists of length n. Partition[list, n, d] generates sublists with offset d. Partition[list, {n_1, n_2, ...}] ...
ParallelCombine   (Built-in Mathematica Symbol)
ParallelCombine[f, h[e_1, e_2, ...], comb] evaluates f[h[e_1, e_2, ...]] in parallel by distributing parts of the computation to all parallel kernels and combining the ...
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 ...
In data analysis, it is often necessary to clean a dataset before analyzing it. Data points with missing entries or that contain invalid values must be removed or replaced by ...
Alphabetical Listing   (Mathematica Guide)
Mathematica has over 3000 built-in functions and other objects, all based on a single unified framework, and all carefully designed to work together, both in simple ...
LinearModelFit   (Built-in Mathematica Symbol)
LinearModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a linear model of the form \[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + ... that fits the y_i for successive x ...
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