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GeneratingFunction   (Built-in Mathematica Symbol)
GeneratingFunction[expr, n, x] gives the generating function in x for the sequence whose n\[Null]^th series coefficient is given by the expression ...
ArcCos   (Built-in Mathematica Symbol)
ArcCos[z] gives the arc cosine cos -1 (z) of the complex number z.
Binomial   (Built-in Mathematica Symbol)
Binomial[n, m] gives the binomial coefficient ( { {n}, {m} } ).
SmoothHistogram   (Built-in Mathematica Symbol)
SmoothHistogram[{x_1, x_2, ...}] plots a smooth kernel histogram of the values x_i.SmoothHistogram[{x_1, x_2, ...}, espec] plots a smooth kernel histogram with estimator ...
Working with String Patterns   (Mathematica Tutorial)
The general symbolic string patterns in Mathematica allow you to perform powerful string manipulation efficiently. What follows discusses the details of string patterns, ...
DagumDistribution   (Built-in Mathematica Symbol)
DagumDistribution[p, a, b] represents a Dagum distribution with shape parameters p and a and scale parameter b.
Advanced Manipulate Functionality   (Mathematica Tutorial)
This tutorial covers advanced features of the Manipulate command. It assumes that you have read "Introduction to Manipulate" and thus have a good idea what the command is for ...
Numerical Nonlinear Global Optimization   (Mathematica Tutorial)
Numerical algorithms for constrained nonlinear optimization can be broadly categorized into gradient-based methods and direct search methods. Gradient-based methods use first ...
Exact Global Optimization   (Mathematica Tutorial)
Exact global optimization problems can be solved exactly using Minimize and Maximize. This computes the radius of the circle, centered at the origin, circumscribed about the ...
SkewNormalDistribution   (Built-in Mathematica Symbol)
SkewNormalDistribution[\[Mu], \[Sigma], \[Alpha]] represents a skew-normal distribution with shape parameter \[Alpha], location parameter \[Mu], and scale parameter \[Sigma].
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