Take (Built-in Mathematica Symbol)

Take[list, n] gives the first n elements of list. Take[list, -n] gives the last n elements of list. Take[list, {m, n}] gives elements m through n of list. Take[list, seq_1, ...

Tuples (Built-in Mathematica Symbol)

Tuples[list, n] generates a list of all possible n-tuples of elements from list. Tuples[{list_1, list_2, ...}] generates a list of all possible tuples whose i\[Null] ...

WaitAll (Built-in Mathematica Symbol)

WaitAll[expr] waits for all concurrent evaluations represented by EvaluationObject expressions in expr to finish, then returns the resulting expression obtained.

WaveletListPlot (Built-in Mathematica Symbol)

WaveletListPlot[dwd] plots wavelet transform coefficients in the DiscreteWaveletData dwd.WaveletListPlot[dwd, wind] plots wavelet transform coefficients corresponding to the ...

Nonlinear IVPs and BVPs (Mathematica Tutorial)

Many real-world applications require the solution of IVPs and BVPs for nonlinear ODEs. For example, consider the logistic equation, which occurs in population dynamics. This ...

QuantilePlot (Built-in Mathematica Symbol)

QuantilePlot[list] generates a plot of quantiles of list against the quantiles of a normal distribution.QuantilePlot[dist] generates a plot of quantiles of the distribution ...

SmoothHistogram (Built-in Mathematica Symbol)

SmoothHistogram[{x_1, x_2, ...}] plots a smooth kernel histogram of the values x_i.SmoothHistogram[{x_1, x_2, ...}, espec] plots a smooth kernel histogram with estimator ...

Definition Building Blocks (GUIKit Package Tutorial)

GUIKit definitions are defined as a hierarchy of widgets, whether they are defined in the Mathematica expression format or in the XML format, GUIKitXML. A single ...

Hypothesis Testing Package (Hypothesis Testing Package Tutorial)

This package contains functions for computing confidence intervals from data and p-values and confidence intervals for distributions related to the normal distribution. Given ...

PolarPlot (Built-in Mathematica Symbol)

PolarPlot[r, {\[Theta], \[Theta]_min, \[Theta]_max}] generates a polar plot of a curve with radius r as a function of angle \[Theta].PolarPlot[{f_1, f_2, ...}, {\[Theta], ...