plotPolytope2D {gMOIP} | R Documentation |
Plot the polytope (bounded convex set) of a linear mathematical program
Description
Plot the polytope (bounded convex set) of a linear mathematical program
Usage
plotPolytope2D(
A,
b,
obj = NULL,
type = rep("c", ncol(A)),
nonneg = rep(TRUE, ncol(A)),
crit = "max",
faces = rep("c", ncol(A)),
plotFaces = TRUE,
plotFeasible = TRUE,
plotOptimum = FALSE,
latex = FALSE,
labels = NULL,
...
)
Arguments
A |
The constraint matrix. |
b |
Right hand side. |
obj |
A vector with objective coefficients. |
type |
A character vector of same length as number of variables. If
entry k is 'i' variable |
nonneg |
A boolean vector of same length as number of variables. If entry k is TRUE then variable k must be non-negative. |
crit |
Either max or min (only used if add the iso-profit line) |
faces |
A character vector of same length as number of variables. If
entry k is 'i' variable |
plotFaces |
If |
plotFeasible |
If |
plotOptimum |
Show the optimum corner solution point (if alternative solutions only one is shown) and add the iso-profit line. |
latex |
If |
labels |
If |
... |
Further arguments passed on the the
|
Value
A ggplot
object.
Note
In general use plotPolytope()
instead of this function. The feasible region defined by the constraints must be bounded otherwise you may see
strange results.
Author(s)
Lars Relund lars@relund.dk
See Also
plotPolytope()
for examples.