TrimmedMean (Built-in Mathematica Symbol)

TrimmedMean[list, f] gives the mean of the elements in list after dropping a fraction f of the smallest and largest elements.TrimmedMean[list, {f_1, f_2}] gives the mean when ...

Which (Built-in Mathematica Symbol)

Which[test_1, value_1, test_2, value_2, ...] evaluates each of the test_i in turn, returning the value of the value_i corresponding to the first one that yields True.

PadeApproximant (Built-in Mathematica Symbol)

PadeApproximant[expr, {x, x_0, {m, n}}] gives the Padé approximant to expr about the point x = x_0, with numerator order m and denominator order n.PadeApproximant[expr, {x, ...

TransferFunctionPoles (Built-in Mathematica Symbol)

TransferFunctionPoles[tf] gives a matrix of roots of the denominators in the TransferFunctionModel object tf.

GUIKit Example: PlotGroup (GUIKit Package Tutorial)

This example demonstrates how to create a reusable GUIKit` widget for wrapping Plot and some of its options. You can easily treat the PlotGroup example as a single reusable ...

SpheroidalS2 (Built-in Mathematica Symbol)

SpheroidalS2[n, m, \[Gamma], z] gives the radial spheroidal function S_n^m, (2)(\[Gamma], z) of the second kind.

GrayLevel (Built-in Mathematica Symbol)

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.

InterpolatingPolynomial (Built-in Mathematica Symbol)

InterpolatingPolynomial[{f_1, f_2, ...}, x] constructs an interpolating polynomial in x which reproduces the function values f_i at successive integer values 1, 2, ... of x. ...

StateOutputEstimator (Built-in Mathematica Symbol)

StateOutputEstimator[ss, l] constructs an estimator for the StateSpaceModel object ss with estimator gain matrix l.StateOutputEstimator[{ss, sensors}, l] uses only sensors as ...

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, ...}] ...