TreePlot[{v i 1 -> v j 1, v i 2 -> v j 2, ...}] generates a tree plot of the graph in which vertex v_ik is connected to vertex v_jk.TreePlot[{{v i 1 -> v j 1, lbl_1}, ...}] ...

LQOutputRegulatorGains[ss, {q, r}] gives the optimal state feedback gain matrix for the StateSpaceModel object ss and the quadratic cost function with output and control ...

By far the largest release since Version 1.0 in 1988, Version 6.0 added a remarkable breadth of new functionality. As well as introducing several major new fundamental ...

LogPlot, ListLogPlot, and related functions have been added to the built-in Mathematica kernel. PolarPlot and ListPolarPlot have been added to the built-in Mathematica ...

GraphPlot3D[{v i 1 -> v j 1, v i 2 -> v j 2, ...}] generates a 3D plot of the graph in which vertex v_ik is connected to vertex v_jk.GraphPlot3D[{{v i 1 -> v j 1, lbl_1}, ...

TabView[{lbl_1 -> expr_1, lbl_2 -> expr_2, ...}] represents an object in which clicking the tab with label lbl_i displays expr_i. TabView[{lbl_1 -> expr_1, lbl_2 -> expr_2, ...

Every new version of Mathematica contains many new features. But careful design from the outset has allowed nearly total compatibility to be maintained between all versions. ...

GraphPlot[{v i 1 -> v j 1, v i 2 -> v j 2, ...}] generates a plot of the graph in which vertex v_ik is connected to vertex v_jk.GraphPlot[{{v i 1 -> v j 1, lbl_1}, ...}] ...

Customization is an important part of Mathematica 's extensive data visualization capabilities. While the default settings for displaying points in a plot are suitable in ...

Scaled[{x, y, ...}] gives the position of a graphical object in terms of coordinates scaled to run from 0 to 1 across the whole plot range in each direction. Scaled[{dx, dy, ...