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RemoteServicesAgents   (Lightweight Grid Client Symbol)
RemoteServicesAgents[] returns a list of URLs for Lightweight Grid managers discovered on the local network.RemoteServicesAgents["agent"] returns a list of agent URLs known ...
Binarize   (Built-in Mathematica Symbol)
Binarize[image] creates a binary image from image by replacing all values above a globally determined threshold with 1 and others with 0.Binarize[image, t] creates a binary ...
CoprimeQ   (Built-in Mathematica Symbol)
CoprimeQ[n_1, n_2] yields True if n_1 and n_2 are relatively prime, and yields False otherwise. CoprimeQ[n_1, n_2, ...] yields True if all pairs of the n_i are relatively ...
PowersRepresentations   (Built-in Mathematica Symbol)
PowersRepresentations[n, k, p] gives the distinct representations of the integer n as a sum of k non-negative p\[Null]^th integer powers.
FourierCosSeries   (Built-in Mathematica Symbol)
FourierCosSeries[expr, t, n] gives the n\[Null]^th-order Fourier cosine series expansion of expr in t.FourierCosSeries[expr, {t_1, t_2, ...}, {n_1, n_2, ...}] gives the ...
FourierTrigSeries   (Built-in Mathematica Symbol)
FourierTrigSeries[expr, t, n] gives the n\[Null]^th-order Fourier trigonometric series expansion of expr in t.FourierTrigSeries[expr, {t_1, t_2, ...}, {n_1, n_2, ...}] gives ...
OrderedQ   (Built-in Mathematica Symbol)
OrderedQ[h[e_1, e_2, ...]] gives True if the e_i are in canonical order, and False otherwise.
Fourier Series Package   (Fourier Series Package Tutorial)
The Mathematica kernel provides the functions FourierTransform and InverseFourierTransform for computing the symbolic Fourier exponential transform and inverse transform. It ...
Immediate and Delayed Definitions   (Mathematica Tutorial)
You may have noticed that there are two different ways to make assignments in Mathematica: lhs=rhs and lhs:=rhs. The basic difference between these forms is when the ...
ArgMin   (Built-in Mathematica Symbol)
ArgMin[f, x] gives a position x_min at which f is minimized.ArgMin[f, {x, y, ...}] gives a position {x_min, y_min, ...} at which f is minimized.ArgMin[{f, cons}, {x, y, ...}] ...
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