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BoundedDiagram   (Computational Geometry Package Symbol)
BoundedDiagram[{{a_1, b_1}, ...}, {{x_1, y_1}, ...}] yields the bounded Voronoi diagram of the points {x_1, y_1}, {x_2, y_2} ..., where the bound is the convex polygon formed ...
VoronoiDiagram   (Computational Geometry Package Symbol)
VoronoiDiagram[{{x_1, y_1}, {x_2, y_2}, ...}] yields the planar Voronoi diagram of the points {x_1, y_1}, {x_2, y_2}, ....VoronoiDiagram[{{x_1, y_1}, {x_2, y_2}, ...}, val] ...
EconomizedRationalApproximation   (Function Approximations Package Symbol)
EconomizedRationalApproximation[expr, {x, {x_0, x_1}, m, n}] gives the economized rational approximation to expr that is good over the interval x_0 to x_1, with numerator ...
ClusterSplit   (Hierarchical Clustering Package Symbol)
ClusterSplit[c, n] splits the cluster c into n clusters.
EqualVariances   (Hypothesis Testing Package Symbol)
EqualVariances is an option to statistical confidence interval and hypothesis test functions of two samples that specifies that unknown population variances are equal.
FRatioPValue   (Hypothesis Testing Package Symbol)
FRatioPValue[x, n, m] gives the cumulative probability beyond x for the F-ratio distribution with n and m degrees of freedom.
EllipsoidQuartiles   (Multivariate Statistics Package Symbol)
EllipsoidQuartiles[matrix] gives the ellipsoidal loci of the quartiles of matrix.
MultivariateMedianDeviation   (Multivariate Statistics Package Symbol)
MultivariateMedianDeviation[matrix] gives the median Euclidean distance from the median of the elements in matrix.
PolytopeQuantile   (Multivariate Statistics Package Symbol)
PolytopeQuantile[{{x_11, x_12}, ..., {x n 1, x n 2}}, q] gives the locus of the q\[Null]^th quantile of the bivariate data, where the data have been ordered using convex ...
RungeKuttaOrderConditions   (Numerical Differential Equation Analysis Package Symbol)
RungeKuttaOrderConditions[p, s] gives a list of the order conditions that any s-stage Runge\[Dash]Kutta method of order p must satisfy. RungeKuttaOrderConditions[p] gives the ...
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