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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 ...
NIntegrate   (Built-in Mathematica Symbol)
NIntegrate[f, {x, x_min, x_max}] gives a numerical approximation to the integral \[Integral]_x_min^x_max\ f\ d \ x. NIntegrate[f, {x, x_min, x_max}, {y, y_min, y_max}, ...] ...
Kernels   (Built-in Mathematica Symbol)
Kernels[] gives the list of running kernels available for parallel computing.
Timing   (Built-in Mathematica Symbol)
Timing[expr] evaluates expr, and returns a list of the time in seconds used, together with the result obtained.
Numerical solution of differential equations. This generates a numerical solution to the equation y^′(x)y(x) with 0<x<2. The result is given in terms of an ...
Packages for Symbolic Mathematics   (Mathematica Tutorial)
There are many Mathematica packages that implement symbolic mathematical operations. Here are a few examples drawn from the standard set of packages distributed with ...
EmpiricalDistribution   (Built-in Mathematica Symbol)
EmpiricalDistribution[{x_1, x_2, ...}] represents an empirical distribution based on the data values x_i.EmpiricalDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...}] ...
SparseArray   (Built-in Mathematica Symbol)
SparseArray[{pos_1 -> val_1, pos_2 -> val_2, ...}] yields a sparse array in which values val_i appear at positions pos_i. SparseArray[{pos_1, pos_2, ...} -> {val_1, val_2, ...
Handling Lists, Arrays, and Other ...   (Mathematica Tutorial)
MathLink allows you to exchange data of any type with external programs. For more common types of data, you simply need to give appropriate :ArgumentTypes: or :ReturnType: ...
OrthogonalProjection Method for NDSolve   (Mathematica Tutorial)
Consider the matrix differential equation where the initial value y_0 y(0)∈^m×p is given. Assume that y_0^Ty_0I, that the solution has the property of preserving ...
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