Model and Solve Mixed Integer Linear Programs
Add a constraint
Add a variable to the model
Retrieve additional solver specific output
As_colwise
Format variables colwise
Extract the constraint matrix, the right hand side and the sense from ...
Gets the column duals of a solution
Gets the row duals of a solution
Get variable values from a solution
An S4 class that represents a collection of variables
Experimental: Create a new MILP Model
Create a new MIP Model
Number of variables (rows) of the model
Create a new solution
Number of variables of a model
Extract the objective function from a model
Extract the numerical objective value from a solution
A package to Model (Mixed) Integer Programs
Set the bounds of a variable
Set the model objective
Solve a model
Get the solver status from a solution
Sum over indexes
Variable lower and upper bounds of a model
Get all unique names of the model variables
Variable types of a model
Model mixed integer linear programs in an algebraic way directly in R. The model is solver-independent and thus offers the possibility to solve a model with different solvers. It currently only supports linear constraints and objective functions. See the 'ompr' website <https://dirkschumacher.github.io/ompr/> for more information, documentation and examples.