RenkoChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a Renko chart with prices p_i at date date_i.RenkoChart[{" name", daterange}] makes a Renko chart of closing prices for ...
Special-purpose multiprocessing hardware comes in two types, shared memory and distributed memory. In a shared-memory machine, all processors have access to a common main ...
ButterflyGraph[n] gives the order-n butterfly graph. ButterflyGraph[n, b] gives the base-b order-n butterfly graph.
MultivariateTDistribution[\[CapitalSigma], \[Nu]] represents the multivariate Student t distribution with scale matrix \[CapitalSigma] and degrees of freedom parameter ...
WaveletScalogram[wd] plots wavelet vector coefficients in a DiscreteWaveletData or ContinuousWaveletData object wd.WaveletScalogram[wd, wind] plots wavelet coefficients ...
The control mechanisms set up for NDSolve enable you to define your own numerical integration algorithms and use them as specifications for the Method option of NDSolve. ...
CUDALink allows Mathematica to use the CUDA parallel computing architecture on Graphical Processing Units (GPUs). It contains functions that use CUDA-enabled GPUs to boost ...
CUDAFunctionLoad[src, fun, argtypes, blockdim] loads CUDAFunction from scr and makes fun available in Mathematica.CUDAFunctionLoad[{srcfile}, fun, argtypes, blockdim] loads ...
This section is designed to discuss how to make compiled functions run efficiently. It will cover features that make them run faster, as well as problems that can make them ...
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, ...