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LogLogisticDistribution   (Built-in Mathematica Symbol)
LogLogisticDistribution[\[Gamma], \[Sigma]] represents a log-logistic distribution with shape parameter \[Gamma] and scale parameter \[Sigma].
MATHEMATICA HOW TO Tutorials » Basic Statistics Descriptive Statistics See Also » Transpose Mean Median StandardDeviation Normalize Map Flatten More About » Statistics ...
LucasL   (Built-in Mathematica Symbol)
LucasL[n] gives the Lucas number L_n.LucasL[n, x] gives the Lucas polynomial L_n (x).
Numerical Root Finding   (Mathematica Tutorial)
NSolve gives you a general way to find numerical approximations to the solutions of polynomial equations. Finding numerical solutions to more general equations, however, can ...
MinStableDistribution   (Built-in Mathematica Symbol)
MinStableDistribution[\[Mu], \[Sigma], \[Xi]] represents a generalized minimum extreme value distribution with location parameter \[Mu], scale parameter \[Sigma], and shape ...
Letters and Letter-like Forms   (Mathematica Tutorial)
The complete collection of Greek letters in Mathematica. You can use Greek letters as the names of symbols. The only Greek letter with a built-in meaning in StandardForm is ...
Numerical Solution of Partial ...   (Mathematica Tutorial)
The numerical method of lines is a technique for solving partial differential equations by discretizing in all but one dimension, and then integrating the semi-discrete ...
CountRoots   (Built-in Mathematica Symbol)
CountRoots[poly, x] gives the number of real roots of the polynomial poly in x.CountRoots[poly, {x, a, b}] gives the number of roots between a and b.
ImageTransformation   (Built-in Mathematica Symbol)
ImageTransformation[image, function] gives an image in which each pixel at position {x, y} corresponds to the position function[{x, y}] in image.ImageTransformation[image, ...
Components and Data Structures   (Mathematica Tutorial)
NDSolve is broken up into several basic steps. For advanced usage, it can sometimes be advantageous to access components to carry out each of these steps separately. NDSolve ...
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