The CompilationTarget option of Compile specifies the target runtime system for the compiled function. The default setting is "MVM", which creates code for the traditional ...
BinormalDistribution[{\[Mu]_1, \[Mu]_2}, {\[Sigma]_1, \[Sigma]_\ 2}, \[Rho]] represents a bivariate normal distribution with mean {\[Mu]_1, \[Mu]_2} and covariance matrix ...
GroebnerBasis[{poly_1, poly_2, ...}, {x_1, x_2, ...}] gives a list of polynomials that form a Gröbner basis for the set of polynomials poly_i. GroebnerBasis[{poly_1, poly_2, ...
ProductDistribution[dist_1, dist_2, ...] represents the joint distribution with independent component distributions dist_1, dist_2, ....
TTest
(Built-in Mathematica Symbol) TTest[data] tests whether the mean of data is zero. TTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.TTest[dspec, \[Mu]_0] tests the mean ...
QuadraticFormDistribution[{a, b, c}, {\[Mu], \[CapitalSigma]}] represents the distribution of a quadratic form z.a.z + b.z + c for multivariate normal z.
ArgMin
(Built-in Mathematica Symbol) ArgMin[f, x] gives a position x_min at which f is minimized.ArgMin[f, {x, y, ...}] gives a position {x_min, y_min, ...} at which f is minimized.ArgMin[{f, cons}, {x, y, ...}] ...
CityData["name", " property"] gives the value of the specified property for the city with the specified name.CityData["name"] gives a list of the full specifications of ...
Compile
(Built-in Mathematica Symbol) Compile[{x_1, x_2, ...}, expr] creates a compiled function that evaluates expr assuming numerical values of the x_i. Compile[{{x_1, t_1}, ...}, expr] assumes that x_i is of a ...