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[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, ...}] ...

WaringYuleDistribution[\[Alpha]] represents the Yule distribution with shape parameter \[Alpha].WaringYuleDistribution[\[Alpha], \[Beta]] represents the Waring distribution ...

FourierCoefficient[expr, t, n] gives the n\[Null]^th coefficient in the Fourier series expansion of expr.FourierCoefficient[expr, {t_1, t_2, ...}, {n_1, n_2, ...}] gives a ...

NDSolve is broken up into several basic steps. For advanced usage, it can sometimes be advantageous to access components to carry out each of these steps separately. NDSolve ...

AbsoluteThickness[d] is a graphics directive which specifies that lines which follow are to be drawn with absolute thickness d.

Animator[u] represents an object that displays with the value of u being continually increased from 0 to 1 with time. Animator[u, {u_min, u_max}] makes u vary from u_min to ...

DiracDelta[x] represents the Dirac delta function \[Delta](x). DiracDelta[x_1, x_2, ...] represents the multidimensional Dirac delta function \[Delta](x_1, x_2, ...).

Functions that are specified by simple algebraic formulas tend to be such that when their input is changed only slightly, their output also changes only slightly. But ...

The differential equations that arise in practice are of two types. Here is an example of the first type. Here is an example of the second type. This equation has a symbolic ...