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Exact and Approximate Results   (Mathematica Tutorial)
A standard electronic calculator does all your calculations to a particular accuracy, say ten decimal digits. With Mathematica, however, you can often get exact results. ...
Expressions Involving Complex Variables   (Mathematica Tutorial)
Mathematica usually pays no attention to whether variables like x stand for real or complex numbers. Sometimes, however, you may want to make transformations which are ...
Installing Mathematica   (Mathematica Tutorial)
Mathematica is available for Windows, Linux, and Mac OS X. For a complete list of platform availability, visit www.wolfram.com/mathematica/features/system-requirements.html. ...
Making Definitions for Indexed Objects   (Mathematica Tutorial)
In many kinds of calculations, you need to set up "arrays" that contain sequences of expressions, each specified by a certain index. One way to implement arrays in ...
Mathematical Notation in Notebooks   (Mathematica Tutorial)
If you use the notebook front end for Mathematica, then you can enter some of the operations discussed here in special ways. Special and ordinary ways to enter mathematical ...
GammaDistribution   (Built-in Mathematica Symbol)
GammaDistribution[\[Alpha], \[Beta]] represents a gamma distribution with shape parameter \[Alpha] and scale parameter \[Beta].GammaDistribution[\[Alpha], \[Beta], \[Gamma], ...
Units Package   (Units Package Tutorial)
There are many systems of units. The particular set of units that is used depends on factors as various as the field of study and the author's country of origin. The function ...
Permutation Groups   (Mathematica Tutorial)
Groups admit many different representations. In particular, all finite groups can be represented as permutation groups, that is, they are always isomorphic to a subgroup of ...
Graphics   (Built-in Mathematica Symbol)
Graphics[primitives, options] represents a two-dimensional graphical image.
HistogramDistribution   (Built-in Mathematica Symbol)
HistogramDistribution[{x_1, x_2, ...}] represents the probability distribution corresponding to a histogram of the data values x_i.HistogramDistribution[{{x_1, y_1, ...}, ...
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