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StationaryWaveletTransform   (Built-in Mathematica Symbol)
StationaryWaveletTransform[data] gives the stationary wavelet transform (SWT) of an array of data.StationaryWaveletTransform[data, wave] gives the stationary wavelet ...
GraphData   (Built-in Mathematica Symbol)
GraphData[name] gives a graph with the specified name.GraphData[name, " property"] gives the value for the specified property for a named graph.GraphData["class"] gives a ...
DensityPlot   (Built-in Mathematica Symbol)
DensityPlot[f, {x, x_min, x_max}, {y, y_min, y_max}] makes a density plot of f as a function of x and y.
NormalDistribution   (Built-in Mathematica Symbol)
NormalDistribution[\[Mu], \[Sigma]] represents a normal (Gaussian) distribution with mean \[Mu] and standard deviation \[Sigma].NormalDistribution[] represents a normal ...
ProductDistribution   (Built-in Mathematica Symbol)
ProductDistribution[dist_1, dist_2, ...] represents the joint distribution with independent component distributions dist_1, dist_2, ....
Concurrency: Managing Parallel Processes   (Parallel Package Tutorial)
A process is simply a Mathematica expression being evaluated. A processor is a parallel kernel that performs such evaluations. The command ParallelEvaluate discussed in the ...
MinimumBandwidthOrdering   (Graph Utilities Package Symbol)
MinimumBandwidthOrdering[g] attempts to find a vertex ordering that minimizes the bandwidth of the undirected graph g.MinimumBandwidthOrdering[m] attempts to find row and ...
Listing of Named Characters   (Mathematica Guide)
Mathematica provides systemwide support for a large number of special characters. Each character has a name and a number of shortcut aliases. They are fully supported by the ...
ConoverTest   (Built-in Mathematica Symbol)
ConoverTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are equal.ConoverTest[dspec, \[Sigma]_0^2] tests a dispersion measure against ...
ContourPlot   (Built-in Mathematica Symbol)
ContourPlot[f, {x, x_min, x_max}, {y, y_min, y_max}] generates a contour plot of f as a function of x and y. ContourPlot[f == g, {x, x_min, x_max}, {y, y_min, y_max}] plots ...
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