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FindArgMin   (Built-in Mathematica Symbol)
FindArgMin[f, x] gives the position x_min of a local minimum of f.FindArgMin[f, {x, x_0}] gives the position x_min of a local minimum of f, found by a search starting from ...
FindMaxValue   (Built-in Mathematica Symbol)
FindMaxValue[f, x] gives the value at a local maximum of f.FindMaxValue[f, {x, x_0}] gives the value at a local maximum of f, found by a search starting from the point x = ...
FindMinValue   (Built-in Mathematica Symbol)
FindMinValue[f, x] gives the value at a local minimum of f.FindMinValue[f, {x, x_0}] gives the value at a local minimum of f, found by a search starting from the point x = ...
Citation Management   (Mathematica Tutorial)
With Mathematica's citation management features, you can annotate and add references to research papers written using Mathematica. These features work in conjunction with the ...
Multivariate Statistics Package   (Multivariate Statistics Package Tutorial)
This package contains descriptive statistics for multivariate data and distributions derived from the multivariate normal distribution. Distributions are represented in the ...
BinomialDistribution   (Built-in Mathematica Symbol)
BinomialDistribution[n, p] represents a binomial distribution with n trials and success probability p.
InitializeGenerator   (Equation Trekker Package Symbol)
InitializeGenerator[gen, problem, dvars, {t, t_min, t_max}, opts] returns the trek generator gen[data] when called by EquationTrekker. The specific form of data depends on ...
Algebra`PolynomialExtendedGCD`   (Mathematica Compatibility Information)
New function PolynomialExtendedGCD has been added to the built-in Mathematica kernel.
Building Large Software Systems in ...   (Mathematica Tutorial)
Building large software systems in Mathematica should follow the general principles that apply to building any large software system. The details may be unique to Mathematica ...
SphericalHarmonicY   (Built-in Mathematica Symbol)
SphericalHarmonicY[l, m, \[Theta], \[Phi]] gives the spherical harmonic Y_l^m(\[Theta], \[Phi]).
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