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Equations   (Mathematica Tutorial)
"Defining Variables" discussed assignments such as x=y which set x equal to y. Here we discuss equations, which test equality. The equation x==y tests whether x is equal to ...
HazardFunction   (Built-in Mathematica Symbol)
HazardFunction[dist, x] gives the hazard function for the symbolic distribution dist evaluated at x.HazardFunction[dist, {x_1, x_2, ...}] gives the multivariate hazard ...
Make a Legend for My Plots   (Plot Legends Package How To)
Mathematica provides many options for customizing and annotating plots. Legends can be added to plots and customized with many of the same methods used to customize other ...
WaveletPhi   (Built-in Mathematica Symbol)
WaveletPhi[wave, x] gives the scaling function \[Phi](x) for the symbolic wavelet wave evaluated at x.WaveletPhi[wave] gives the scaling function as a pure function.
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 ...
TransferFunctionFactor   (Built-in Mathematica Symbol)
TransferFunctionFactor[tf] factors the polynomial terms in the numerators and denominators of the TransferFunctionModel object tf.
FourierSinSeries   (Built-in Mathematica Symbol)
FourierSinSeries[expr, t, n] gives the n\[Null]^th-order Fourier sine series expansion of expr in t.FourierSinSeries[expr, {t_1, t_2, ...}, {n_1, n_2, ...}] gives the ...
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 ...
Permutation Lists   (Mathematica Tutorial)
A possible way of working with permutations is by relating them to the reorderings of the elements of a list. This is the standard point of view in the combinatorial approach ...
Probability & Statistics   (Mathematica Guide)
Probability and statistics are used to model uncertainty from a variety of sources, such as incomplete or simplified models. Yet you can build useful models for aggregate or ...
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