FilledCurve[{segment_1, segment_2, ...}] represents a filled curve consisting of segment_1 followed by segment_2 etc. FilledCurve[{component_1, component_2, ...}] represents ...
GraphDistanceMatrix[g] gives the matrix of distances between vertices for the graph g.GraphDistanceMatrix[g, d] gives the matrix of distances between vertices of maximal ...
HeavisideTheta[x] represents the Heaviside theta function \[Theta](x), equal to 0 for x < 0 and 1 for x > 0. HeavisideTheta[x_1, x_2, ...] represents the multidimensional ...
LaplaceDistribution[\[Mu], \[Beta]] represents a Laplace double-exponential distribution with mean \[Mu] and scale parameter \[Beta].
LinearSolve[m, b] finds an x which solves the matrix equation m.x == b. LinearSolve[m] generates a LinearSolveFunction[...] which can be applied repeatedly to different b.
MannWhitneyTest[{data_1, data_2}] tests whether the medians of data_1 and data_2 are equal.MannWhitneyTest[dspec, \[Mu]_0] tests the median difference against ...
MatrixPlot[m] generates a plot that gives a visual representation of the values of elements in a matrix.
NegativeMultinomialDistribution[n, p] represents a negative multinomial distribution with parameter n and failure probability vector p.
NMaximize[f, x] maximizes f numerically with respect to x.NMaximize[f, {x, y, ...}] maximizes f numerically with respect to x, y, .... NMaximize[{f, cons}, {x, y, ...}] ...
NMinimize[f, x] minimizes f numerically with respect to x.NMinimize[f, {x, y, ...}] minimizes f numerically with respect to x, y, .... NMinimize[{f, cons}, {x, y, ...}] ...