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

In orloca: Operations Research LOCational Analysis Models

Plots of the min-sum objective function

Description

persp provides a graphical representations of objetive function of the min-sum problem, which is the total weighte distance to the demand points (distsum).

Usage

## S3 method for class 'loca.p'
persp(
  x,
  lp = numeric(0),
  xmin = min(x@x),
  xmax = max(x@x),
  ymin = min(x@y),
  ymax = max(x@y),
  n = 10,
  ticktype = "detailed",
  ...
)

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.
ticktype	parameter to pass to low level function persp
...	Other options.

Details

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

Value

A plot a 3D plot or min-sum function.

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 3D graphics
persp(loca)

orloca documentation built on May 29, 2024, 9:56 a.m.