Both **surf** and **mesh** plot a two-dimensional curve in 3-D;
**surf** facets the surface, while **mesh** plots the facet outlines
only. They are identical otherwise, including in taking arguments.
There are variants; **surfc** and **meshc** include a contour plot
(see **help contour**), **surfl** provides lighting, **meshz** provides
a reference plane, and **waterfall** gives a mesh without column lines.

The most general argument to **surf** is a vector of four matrices,
e.g. **surf(X, Y, Z, C)**. The first three matrices give the 3-D
coordinates of each point on the surface, and the last gives its color
as per the current colormap. Omitting the last, e.g. **surf(X, Y, Z)**,
uses **C** = **Z**, i.e. color is proportional to height.

The **X** and **Y** matrices can be replaced by vectors of the
width and height of **Z**; both or neither must be replaced. A **X**
matrix is then used with the **x** vector as each row, and a **Y**
matrix with the **y** vector as each column. If **X** and **Y** are
omitted entirely, the vectors 1:width and 1:height are used instead.

To evaluate a function that can be performed elementwise on a matrix over
a grid of points on the plane and plot it at even intervals, use
**meshgrid** to create **X** and **Y** matrices from vectors with
**[X, Y] = meshgrid(x, y)** (all the rows of **X** are **x**, all
the columns of **Y** are **y**). Then e.g. **Z = X. Y** and
**mesh(Z)** will display (in this case) the coordinate products, but
at evenly spaced intervals as the **x** and **y** vectors did not
directly reach **mesh**.

Portions of a surface plot may be hidden behind others. One method of
dealing with this is to change the viewpoint; see **help view**.
Alternatively, since MATLAB does not plot values of NaN and Inf, you can
make ``cutouts'' in a plot by setting the color value on some region of
facets to one of those.

Other features of 3-D plots can be set with **caxis**, **colormap**,
**shading**, and **view**, and various **color** functions, for all
of which see the **help** entries, as well as the commands described
above for 2-D plots.

Sat Mar 21 21:42:28 EST 1998