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Ordinary mathematical functions in Mathematica are always "listable", so that they are immediately applied in parallel across lists. Mathematica provides a wide variety of ...
In almost every area where probability and statistics are used there have been found a few parametric distribution families that are known to be good models. The origins vary ...
Testing Expressions   (Mathematica Guide)
Mathematica symbolic expressions can represent an immense range of types of objects. Mathematica provides a rich collection of functions to test expressions. Functions that ...
StieltjesGamma   (Built-in Mathematica Symbol)
StieltjesGamma[n] gives the Stieltjes constant \[Gamma]_n. StieltjesGamma[n, a] gives the generalized Stieltjes constant \[Gamma]_n (a).
\[DifferenceDelta]   (Mathematica Character Name)
Unicode: 2206 Alias: Esc diffd Esc. Prefix operator with built-in evaluation rules. _ky is by default interpreted as DifferenceDelta[y,k]. You can use \[InvisibleComma] in ...
Matrices and Linear Algebra   (Mathematica Guide)
Mathematica automatically handles both numeric and symbolic matrices, seamlessly switching among large numbers of highly-optimized algorithms. Using many original methods, ...
Numerical Data   (Mathematica Guide)
Huge numerical datasets are routine for Mathematica. Its powerful array primitives make large-scale array manipulation both easy to specify and highly efficient. And its ...
SumConvergence   (Built-in Mathematica Symbol)
SumConvergence[f, n] gives conditions for the sum \[Sum]_n^\[Infinity] f to be convergent.SumConvergence[f, {n_1, n_2, ...}] gives conditions for the multiple sum \[Sum]_n ...
Special Functions   (Mathematica Tutorial)
Mathematica includes all the common special functions of mathematical physics found in standard handbooks. Each of the various classes of functions is discussed in turn. One ...
\[Product]   (Mathematica Character Name)
Unicode: 220F. Alias: Esc prod Esc. Compound operator with built-in evaluation rules. ∏_(i)^i_max(f) is by default interpreted as Product[f,{i,i_max}]. ∏_(i=i_min)^i_max(f) ...
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