Database connection pools are a common way to improve the performance of database operations. They can be useful because creating a new connection can easily take several ...
OpenCLMemoryAllocate[t, len] allocates a new one-dimensional list of type t returning OpenCLMemory.OpenCLMemoryAllocate[t, {d_1, d_2, ...}] allocates a new list of dimensions ...
$IgnoreEOF specifies whether Mathematica should terminate when it receives an end-of-file character as input.
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 ...
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 ...
The function FindClusters finds clusters in a dataset based on a distance or dissimilarity function. This package contains functions for generating cluster hierarchies and ...
The standard way in which Mathematica works is to take any expression you give as input, evaluate the expression completely, and then return the result. When you are trying ...
This package provides functions for performing a univariate Analysis of Variance (ANOVA) to examine the differences between groups of means. The function ANOVA can handle ...
The Mathematica kernel provides the functions FourierTransform and InverseFourierTransform for computing the symbolic Fourier exponential transform and inverse transform. It ...
ColorData["scheme"] gives a function that generates colors in the named color scheme when applied to parameter values. ColorData["scheme", " property"] gives the specified ...