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SQLResultSetPosition   (DatabaseLink Symbol)
SQLResultSetPosition[rs] returns an integer that specifies the current position in a result set.
CoifletWavelet   (Built-in Mathematica Symbol)
CoifletWavelet[] represents a Coiflet wavelet of order 2.CoifletWavelet[n] represents a Coiflet wavelet of order n.
Table   (Built-in Mathematica Symbol)
Table[expr, {i_max}] generates a list of i_max copies of expr. Table[expr, {i, i_max}] generates a list of the values of expr when i runs from 1 to i_max. Table[expr, {i, ...
XML Reference   (GUIKit Package Tutorial)
This tutorial documents the XML representation of the user interface definition, GUIKitXML for short. This is a DTD representing the current GUIKit XML definitions. Use the ...
RecurrenceTable   (Built-in Mathematica Symbol)
RecurrenceTable[eqns, expr, {n, n_max}] generates a list of values of expr for successive n based on solving the recurrence equations eqns.RecurrenceTable[eqns, expr, nspec] ...
MaxStableDistribution   (Built-in Mathematica Symbol)
MaxStableDistribution[\[Mu], \[Sigma], \[Xi]] represents a generalized maximum extreme value distribution with location parameter \[Mu], scale parameter \[Sigma], and shape ...
MinStableDistribution   (Built-in Mathematica Symbol)
MinStableDistribution[\[Mu], \[Sigma], \[Xi]] represents a generalized minimum extreme value distribution with location parameter \[Mu], scale parameter \[Sigma], and shape ...
PERTDistribution   (Built-in Mathematica Symbol)
PERTDistribution[{min, max}, c] represents a PERT distribution with range min to max and maximum at c.PERTDistribution[{min, max}, c, \[Lambda]] represents a modified PERT ...
RiceDistribution   (Built-in Mathematica Symbol)
RiceDistribution[\[Alpha], \[Beta]] represents a Rice distribution with shape parameters \[Alpha] and \[Beta].RiceDistribution[m, \[Alpha], \[Beta]] represents a ...
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 ...
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