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VertexEccentricity   (Built-in Mathematica Symbol)
VertexEccentricity[g, s] gives the length of the longest shortest path from the source s to every other vertex in the graph g.
Calling Java from Mathematica   (JLink Tutorial)
J/Link provides Mathematica users with the ability to interact with arbitrary Java classes directly from Mathematica. You can create objects and call methods directly in the ...
OpenCLFunctionLoad   (OpenCLLink Symbol)
OpenCLFunctionLoad[prog, fun, argtypes, blockdims] loads fun from source code prog, returning an OpenCLFunction object.OpenCLFunctionLoad[{progfile}, fun, argtypes, ...
LineBreakChart   (Built-in Mathematica Symbol)
LineBreakChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a line break chart with prices p_i at date date_i.LineBreakChart[{" name", daterange}] makes a line break chart of ...
WordData   (Built-in Mathematica Symbol)
WordData["word", " property"] gives the specified property for the English word " word".WordData["word"] gives a list of full word specifications representing possible uses ...
Numerical Nonlinear Local Optimization   (Mathematica Tutorial)
Numerical algorithms for constrained nonlinear optimization can be broadly categorized into gradient-based methods and direct search methods. Gradient search methods use ...
CUDA Programming   (CUDALink Tutorial)
CUDA is a general C-like programming developed by NVIDIA to program Graphical Processing Units (GPUs). CUDALink provides an easy interface to program the GPU by removing many ...
Legacy   (Parallel Package Tutorial)
The parallel computing features of Mathematica entirely replace the Parallel Computing Toolkit that was available up to Mathematica Version 6. As stated in the Introduction, ...
HypothesisTesting`   (Mathematica Compatibility Information)
MeanTest is superseded by the Mathematica kernel functions LocationTest, TTest, and ZTest. MeanDifferenceTest is superseded by the Mathematica kernel functions ...
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 ...
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