problem.getlpsolval
problem.getlpsolval |
Purpose
Used to obtain a single LP solution value following optimization.
Synopsis
x, slack, dual, dj = problem.getlpsolval(column=None, row=None)
Arguments
column
|
Column of the variable for which to return the solution value.
|
row
|
Row of the constraint for which to return the solution value.
|
x
|
The returned value of the primal variable.
|
slack
|
The returned value of the slack variable.
|
dual
|
The returned value of the dual variable (
cBTB-1).
|
dj
|
The returned reduced cost for the variable (
cT-cBTB-1A).
|
Further information
1. This function is currently not supported if the problem is in a presolved state.
2. If
column or
row are
None, the corresponding output is set to
-xpress.infinity.
Related topics