ViewPoint (Built-in Mathematica Symbol)

ViewPoint is an option for Graphics3D and related functions which gives the point in space from which three-dimensional objects are to be viewed.

WaveletListPlot (Built-in Mathematica Symbol)

WaveletListPlot[dwd] plots wavelet transform coefficients in the DiscreteWaveletData dwd.WaveletListPlot[dwd, wind] plots wavelet transform coefficients corresponding to the ...

WeightedAdjacencyGraph (Built-in Mathematica Symbol)

WeightedAdjacencyGraph[wmat] gives the graph with weighted adjacency matrix wmat.WeightedAdjacencyGraph[{v_1, v_2, ...}, wmat] gives the graph with vertices v_i and weighted ...

The Representation of Solution Sets (Mathematica Tutorial)

Any combination of equations or inequalities can be thought of as implicitly defining a region in some kind of space. The fundamental function of Reduce is to turn this type ...

Two-Dimensional Graphics Elements (Mathematica Tutorial)

Basic two-dimensional graphics elements. Here is a line primitive. This shows the line as a two-dimensional graphics object.

Column (Built-in Mathematica Symbol)

Column[{expr_1, expr_2, ...}] is an object that formats with the expr_i arranged in a column, with expr_1 above expr_2, etc. Column[list, alignment] aligns each element ...

GraphicsGrid (Built-in Mathematica Symbol)

GraphicsGrid[{{g_11, g_12, ...}, ...}] generates a graphic in which the g_ij are laid out in a two-dimensional grid.

Nonlinear Conjugate Gradient Methods (Mathematica Tutorial)

The basis for a nonlinear conjugate gradient method is to effectively apply the linear conjugate gradient method, where the residual is replaced by the gradient. A model ...

AndersonDarlingTest (Built-in Mathematica Symbol)

AndersonDarlingTest[data] tests whether data is normally distributed using the Anderson\[Dash]Darling test.AndersonDarlingTest[data, dist] tests whether data is distributed ...

FindMaximum (Built-in Mathematica Symbol)

FindMaximum[f, x] searches for a local maximum in f, starting from an automatically selected point.FindMaximum[f, {x, x_0}] searches for a local maximum in f, starting from ...