TrendStyle (Built-in Mathematica Symbol)

TrendStyle is an option to CandlestickChart, RenkoChart, and other financial charting functions that specifies how to style price trends.

WaveletPsi (Built-in Mathematica Symbol)

WaveletPsi[wave, x] gives the wavelet function \[Psi](x) for the symbolic wavelet wave evaluated at x.WaveletPsi[wave] gives the wavelet function as a pure function.

WolframAlpha (Built-in Mathematica Symbol)

WolframAlpha["query"] sends query to Wolfram|Alpha and imports the output.WolframAlpha["query", format] imports the output according to the specified format.

Nonlinear Conjugate Gradient Methods (Mathematica Tutorial)

The basis for a nonlinear conjugate gradient method is to effectively apply the linear conjugate gradient method, where the residual is replaced by the gradient. A model ...

CensoredDistribution (Built-in Mathematica Symbol)

CensoredDistribution[{x_min, x_max}, dist] represents the distribution of values that come from dist and are censored to be between x_min and ...

KagiChart (Built-in Mathematica Symbol)

KagiChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a Kagi chart with prices p_i at date date_i.KagiChart[{" name", daterange}] makes a Kagi chart of closing prices for the ...

ParallelMap (Built-in Mathematica Symbol)

ParallelMap[f, expr] applies f in parallel to each element on the first level in expr.ParallelMap[f, expr, levelspec] applies f in parallel to parts of expr specified by ...

PDF (Built-in Mathematica Symbol)

PDF[dist, x] gives the probability density function for the symbolic distribution dist evaluated at x.PDF[dist, {x_1, x_2, ...}] gives the multivariate probability density ...

ProbabilityDistribution (Built-in Mathematica Symbol)

ProbabilityDistribution[pdf, {x, x_min, x_max}] represents the continuous distribution with PDF pdf in the variable x where the pdf is taken to be zero for x < x_min and x > ...

Series (Built-in Mathematica Symbol)

Series[f, {x, x_0, n}] generates a power series expansion for f about the point x = x_0 to order (x - x_0) n. Series[f, {x, x_0, n_x}, {y, y_0, n_y}, ...] successively finds ...