CloseKernels[] terminates all parallel kernels from the list Kernels[].CloseKernels[k] terminates the kernel k.CloseKernels[{k_1, k_2, ...}] terminates the kernels k_1, k_2, ...
CreatePalette[expr] creates a palette notebook containing expr, and opens it in the front end.CreatePalette[{expr_1, expr_2, ...}] creates and opens a palette notebook ...
DistributionParameterAssumptions[dist] gives a logical expression for assumptions on parameters in the symbolic distribution dist.
GeometricMean[list] gives the geometric mean of the values in list.
MeanDeviation[list] gives the mean absolute deviation from the mean of the elements in list.
ObservableModelQ[ss] gives True if the StateSpaceModel object ss is observable, and False otherwise.
RootMeanSquare[list] gives the root mean square of values in list.
ScalingMatrix[{s_x, s_y, ...}] gives the matrix corresponding to scaling by a factor s_i along each coordinate axis.ScalingMatrix[s, v] gives the matrix corresponding to ...
WaitNext[{eid_1, eid_2, ...}] waits until the first evaluation represented by any of the eid_i finishes, then returns its result, the corresponding eid_i, and the list of ...
DirichletDistribution[{\[Alpha]_1, ..., \[Alpha] k +1}] represents a Dirichlet distribution of dimension k with shape parameters \[Alpha]_i.