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Quantifiers   (Mathematica Tutorial)
In a statement like x^4+x^2>0, Mathematica treats the variable x as having a definite, though unspecified, value. Sometimes, however, it is useful to be able to make ...
How to Use This User Guide   (JLink Tutorial)
This User Guide is divided into two parts, reflecting the traditional distinction between the two ways of using Mathematica with external programs. The first use is to extend ...
Introduction to Manipulate   (Mathematica Tutorial)
The single command Manipulate lets you create an astonishing range of interactive applications with just a few lines of input. Manipulate is designed to be used by anyone who ...
Naming and Finding Files   (Mathematica Tutorial)
The precise details of the naming of files differ from one computer system to another. Nevertheless, Mathematica provides some fairly general mechanisms that work on all ...
ParticleData   (Built-in Mathematica Symbol)
ParticleData[name, " property"] gives the specified property for a subatomic particle or family of particles with the specified name. ParticleData[{name, q}, " property"] ...
Complex Numbers   (Mathematica Guide)
Mathematica has fundamental support for both explicit complex numbers and symbolic complex variables. All applicable mathematical functions support arbitrary-precision ...
Mathematical Data   (Mathematica Guide)
Mathematica provides direct access to a large volume of mathematical data, specially organized and created for Mathematica. The data is available in a wide range of forms ...
DelimiterFlashTime   (Built-in Mathematica Symbol)
DelimiterFlashTime is an option for cells and notebooks that specifies how long in seconds a delimiter should flash when its matching delimiter is entered.
Global Options for the Front End   (Mathematica Tutorial)
In the standard notebook front end, Mathematica allows you to set a large number of global options. The values of all these options are by default saved in a "preferences ...
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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