VectorPlot3D[{v_x, v_y, v_z}, {x, x_min, x_max}, {y, y_min, y_max}, {z, z_min, z_max}] generates a 3D vector plot of the vector field {v_x, v_y, v_z} as a function of x, y, ...
SymbolicC provides automated formatting of the generated C output. This section reviews some of the ways that you can work with formatting to create your own styles of ...
ListContourPlot[array] generates a contour plot from an array of height values. ListContourPlot[{{x_1, y_1, f_1}, {x_2, y_2, f_2}, ...}] generates a contour plot from values ...
The Mathematica compiler provides an important way both to speed up and also to work with Mathematica computations. It does this by taking assumptions about the computations ...
ListVectorPlot3D[array] generates a 3D vector plot from a 3D array of vector field values.ListVectorPlot3D[{{{x_1, y_1, z_1}, {vx_1, vy_1, vz_1}}, ...}] generates a 3D vector ...
Parallelize[expr] evaluates expr using automatic parallelization.
SmoothHistogram3D[{{x_1, y_1}, {x_2, y_2}, ...}] plots a 3D smooth kernel histogram of the values {x_i, y_i}.SmoothHistogram3D[{{x_1, y_1}, {x_2, y_2}, ...}, espec] plots a ...
Views
(Mathematica Tutorial) Mathematica supports a variety of objects that can be used to organize and display information in output. Known collectively as views, these objects range from the simple ...
BeckmannDistribution[\[Mu]_1, \[Mu]_2, \[Sigma]_1, \[Sigma]_2] represents the Beckmann distribution with means \[Mu]_1 and \[Mu]_2 and standard deviations \[Sigma]_1 and ...
Agglomerate[{e_1, e_2, ...}] gives an hierarchical clustering of the elements e_1, e_2, ....Agglomerate[{e_1 -> v_1, e_2 -> v_2, ...}] represents e_i with v_i in each ...