contour.loca.p: Plots of the min-sum objective function

In orloca: Operations Research LOCational Analysis Models

Plots of the min-sum objective function

Description

contour provides a graphical representations of min-sum objective function, which is the weighted sum of the distances to demand points (distsum).

Usage

## S3 method for class 'loca.p'
contour(
  x,
  lp = numeric(0),
  xmin = min(min(x@x), xleft),
  xmax = max(max(x@x), xright),
  ymin = min(min(x@y), ybottom),
  ymax = max(max(x@y), ytop),
  n = 100,
  img = NULL,
  xleft = min(x@x),
  ybottom = min(x@y),
  xright = max(x@x),
  ytop = max(x@y),
  ...
)

Arguments

x	The loca.p object to compute the objective.
lp	If given, then l_p norm will be used instead of the Euclidean norm.
xmin	The minimum value for x axis.
xmax	The maximum value for x axis.
ymin	The minimum value for y axis.
ymax	The maximum value for y axis.
n	The number of divisions for grid.
img	A raster image to plot on background.
xleft	The left position of the image.
ybottom	The bottom position of the image.
xright	The right position of the image.
ytop	The top position of the image.
...	Other options.

Details

If p<1 then l_p is not a norm, so only p>=1 are valid values.

Value

contour.loca.p plots a contour plot of min-sum function (distsum).

See Also

See also orloca-package, plot.loca.p and loca.p.

Examples

# A new unweighted loca.p object
loca <- loca.p(x = c(-1, 1, 1, -1), y = c(-1, -1, 1, 1))

# The contour plot of min-sum function for loca (a loca.p object)
contour(loca)

orloca documentation built on Feb. 1, 2024, 3 p.m.