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Greater   (Built-in Mathematica Symbol)
x > y yields True if x is determined to be greater than y. x_1 > x_2 > x_3 yields True if the x_i form a strictly decreasing sequence.
LessEqual   (Built-in Mathematica Symbol)
x <= y or x <= y yields True if x is determined to be less than or equal to y. x_1 <= x_2 <= x_3 yields True if the x TraditionalForm\`i form a nondecreasing sequence.
Less   (Built-in Mathematica Symbol)
x < y yields True if x is determined to be less than y. x_1 < x_2 < x_3 yields True if the x_i form a strictly increasing sequence.
LandauDistribution   (Built-in Mathematica Symbol)
LandauDistribution[\[Mu], \[Sigma]] represents a Landau distribution with location parameter \[Mu] and scale parameter \[Sigma].
DagumDistribution   (Built-in Mathematica Symbol)
DagumDistribution[p, a, b] represents a Dagum distribution with shape parameters p and a and scale parameter b.
LogLogisticDistribution   (Built-in Mathematica Symbol)
LogLogisticDistribution[\[Gamma], \[Sigma]] represents a log-logistic distribution with shape parameter \[Gamma] and scale parameter \[Sigma].
Every new version of Mathematica contains many new features. But careful design from the outset has allowed nearly total compatibility to be maintained between all versions. ...
RegionPlot3D   (Built-in Mathematica Symbol)
RegionPlot3D[pred, {x, x_min, x_max}, {y, y_min, y_max}, {z, z_min, z_max}] makes a plot showing the three-dimensional region in which pred is True.
RegionPlot   (Built-in Mathematica Symbol)
RegionPlot[pred, {x, x_min, x_max}, {y, y_min, y_max}] makes a plot showing the region in which pred is True.
Linear Programming   (Mathematica Tutorial)
Linear programming problems are optimization problems where the objective function and constraints are all linear. Mathematica has a collection of algorithms for solving ...
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