DiscreteLQRegulatorGains (Built-in Mathematica Symbol)

DiscreteLQRegulatorGains[ss, {q, r}, \[Tau]] gives the optimal discrete-time state feedback gain matrix with sampling period \[Tau] for the continuous-time StateSpaceModel ...

DiscreteLyapunovSolve (Built-in Mathematica Symbol)

DiscreteLyapunovSolve[a, c] finds the numeric solution x of the discrete matrix equation a.x.a\[ConjugateTranspose] - x == c.DiscreteLyapunovSolve[a, b, c] solves a.x.b - x ...

EdgeLabels (Built-in Mathematica Symbol)

EdgeLabels is an option and property for Graph and related functions that specifies what labels and label positions should be used for edges.

EllipticThetaPrime (Built-in Mathematica Symbol)

EllipticThetaPrime[a, u, q] gives the derivative with respect to u of the theta function \[CurlyTheta]_a (u, q) (a = 1, ..., 4).

FindShortestPath (Built-in Mathematica Symbol)

FindShortestPath[g, s, t] finds the shortest path from source vertex s to target vertex t in the graph g.FindShortestPath[g, s, All] generates a ShortestPathFunction[...] ...

GraphicsRow (Built-in Mathematica Symbol)

GraphicsRow[{g_1, g_2, ...}] generates a graphic in which the g_i are laid out in a row.GraphicsRow[list, spacing] leaves the specified spacing between successive elements.

Likelihood (Built-in Mathematica Symbol)

Likelihood[dist, {x_1, x_2, ...}] gives the likelihood function for observations x_1, x_2, ... from the distribution dist.

ListPointPlot3D (Built-in Mathematica Symbol)

ListPointPlot3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] generates a 3D scatter plot of points with coordinates {x_i, y_i, z_i}. ListPointPlot3D[array] generates a 3D scatter ...

NicholsGridLines (Built-in Mathematica Symbol)

NicholsGridLines is an option to NicholsPlot that specifies contours of constant magnitude and constant phase of the closed-loop system.

RadioButtonBar (Built-in Mathematica Symbol)

RadioButtonBar[x, {val_1, val_2, ...}] represents a radio button bar with setting x and with labeled radio buttons for values val_i.RadioButtonBar[Dynamic[x], {val_1, val_2, ...