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Function Approximations Package   (Function Approximations Package Guide)
 
Applying Functions to Lists   (Mathematica Guide)
Many computations are conveniently specified in terms of applying functions in parallel to many elements in a list. Mathematica provides a suite of elegant functional ...
C Functions   (SymbolicC Tutorial)
SymbolicC supports working with C functions, as described in this section. First, you need to load the package. Now, you can create a C function with CFunction.
Function Approximations Package   (Function Approximations Package Tutorial)
This loads the package. Economized rational approximations. A Pad é approximation is very accurate near the center of expansion, but the error increases rapidly as you get ...
TransformationFunctions   (Built-in Mathematica Symbol)
TransformationFunctions is an option for Simplify and FullSimplify which gives the list of functions to apply to try to transform parts of an expression.
TargetFunctions   (Built-in Mathematica Symbol)
TargetFunctions is an option for functions such as ComplexExpand that specifies what functions to attempt to generate in the output.
Recurrence and Sum Functions   (Mathematica Guide)
Mathematica has a wide coverage of named functions defined by sums and recurrence relations. Often using original algorithms developed at Wolfram Research, Mathematica ...
Defining Variables and Functions   (Mathematica Guide)
The symbolic language paradigm of Mathematica takes the concept of variables and functions to a new level. In Mathematica a variable can not only stand for a value, but can ...
As the basis for many other special functions, Mathematica supports efficient arbitrary-precision evaluation of gamma functions, as well as an extensive web of relations and ...
Functions Used in Statistics   (Mathematica Guide)
Mathematica's sophisticated algorithms for handling higher mathematical functions to arbitrary precision—and in symbolic form—immediately brings a new level of accuracy—and ...
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