CauchyDistribution[a, b] represents a Cauchy distribution with location parameter a and scale parameter b.
Covariance[v_1, v_2] gives the covariance between the vectors v_1 and v_2.Covariance[m] gives the covariance matrix for the matrix m.Covariance[m_1, m_2] gives the covariance ...
CreateScheduledTask[expr] creates a task that will repeatedly evaluate expr once per second.CreateScheduledTask[expr, time] creates a task that will repeatedly evaluate expr ...
Darker
(Built-in Mathematica Symbol) Darker[color] represents a darker version of the specified color. Darker[color, f] represents a version of the specified color darkened by a fraction f. Darker[image, ...] ...
DesignMatrix[{{x_11, x_12, ..., y_1}, {x_21, x_22, ..., y_2}, ...}, {f_1, f_2, ...}, {x_1, x_2, ...}] constructs the design matrix for the linear model \[Beta]_0 + \[Beta]_1 ...
Eigenvectors[m] gives a list of the eigenvectors of the square matrix m. Eigenvectors[{m, a}] gives the generalized eigenvectors of m with respect to a. Eigenvectors[m, k] ...
GrayLevel[level] is a graphics directive that specifies the gray-level intensity with which objects that follow should be displayed. GrayLevel[g, a] specifies opacity a.
InverseJacobiCN[v, m] gives the inverse Jacobi elliptic function cn -1 (v \[VerticalSeparator] m).
InverseJacobiDS[v, m] gives the inverse Jacobi elliptic function ds -1 (v \[VerticalSeparator] m).
InverseJacobiSD[v, m] gives the inverse Jacobi elliptic function sd -1 (v \[VerticalSeparator] m).