Slider
(Built-in Mathematica Symbol) Slider[x] represents a slider with setting x in the range 0 to 1. Slider[Dynamic[x]] takes the setting to be the dynamically updated current value of x, with the value of x ...
StateOutputEstimator[ss, l] constructs an estimator for the StateSpaceModel object ss with estimator gain matrix l.StateOutputEstimator[{ss, sensors}, l] uses only sensors as ...
Total
(Built-in Mathematica Symbol) Total[list] gives the total of the elements in list. Total[list, n] totals all elements down to level n. Total[list, {n}] totals elements at level n. Total[list, {n_1, n_2}] ...
VectorDensityPlot[{{v_x, v_y}, s}, {x, x_min, x_max}, {y, y_min, y_max}] generates a vector plot of the vector field {v_x, v_y} as a function of x and y, superimposed on a ...
CUDASort[vec] sorts the input vector.CUDASort[mem] sorts CUDAMemory in place.CUDASort[vec, op] sorts input with respect to the ordering function op.
LineIntegralConvolutionPlot[{{v_x, v_y}, image}, {x, x_min, x_max}, {y, y_min, y_max}] generates a line integral convolution plot of image convolved with the vector field ...
Moment
(Built-in Mathematica Symbol) Moment[list, r] gives the r\[Null]^th sample moment of the elements in list.Moment[dist, r] gives the r\[Null]^th moment of the symbolic distribution dist.Moment[..., {r_1, ...
ProbabilityScalePlot[{x_1, x_2, ...}] generates a normal probability plot of the samples x_i. ProbabilityScalePlot[{x_1, x_2, ...}, " dist"] generates a probability plot ...
SurvivalDistribution[{e_1, e_2, ...}] represents a survival distribution with event times e_i.SurvivalDistribution[{w_1, w_2, ...} -> {e_1, e_2, ...}] represents a survival ...
VectorPlot[{v_x, v_y}, {x, x_min, x_max}, {y, y_min, y_max}] generates a vector plot of the vector field {v_x, v_y} as a function of x and y. VectorPlot[{{v_x, v_y}, {w_x, ...