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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 ...
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.
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 ...
Sparse Arrays: Linear Algebra   (Mathematica Tutorial)
Many large-scale applications of linear algebra involve matrices that have many elements, but comparatively few that are nonzero. You can represent such sparse matrices ...
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 ...
Built into Mathematica are state-of-the-art constrained nonlinear fitting capabilities, conveniently accessed with models given directly in symbolic form. Mathematica also ...
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