psamm.lpsolver.cplex – Cplex LP solver

Linear programming solver using Cplex.

class psamm.lpsolver.cplex.Constraint(prob, name)

Represents a constraint in a cplex.Problem

class psamm.lpsolver.cplex.Problem(**kwargs)

Represents an LP-problem of a cplex.Solver

add_linear_constraints(*relations)

Add constraints to the problem

Each constraint is represented by a Relation, and the expression in that relation can be a set expression.

cplex

The underlying Cplex object

define(*names, **kwargs)

Define variable in the problem.

Variables must be defined before they can be accessed by var() or set(). This function takes keyword arguments lower and upper to define the bounds of the variable (default: -inf to inf). The keyword argument types can be used to select the type of the variable (Continuous (default), Binary or Integer). Setting any variables different than Continuous will turn the problem into an MILP problem.

has_variable(name)

Check whether variable is defined in the model.

set_linear_objective(expression)

Set objective expression of the problem.

set_objective(expression)

Set objective expression of the problem.

set_objective_sense(sense)

Set type of problem (maximize or minimize)

solve(sense=None)

Solve problem

class psamm.lpsolver.cplex.Result(prob)

Represents the solution to a cplex.Problem

This object will be returned from the cplex.Problem.solve() method or by accessing the cplex.Problem.result property after solving a problem. This class should not be instantiated manually.

Result will evaluate to a boolean according to the success of the solution, so checking the truth value of the result will immediately indicate whether solving was successful.

get_value(expression)

Return value of expression.

status

Return string indicating the error encountered on failure

success

Return boolean indicating whether a solution was found

unbounded

Whether solution is unbounded

class psamm.lpsolver.cplex.Solver

Represents an LP-solver using Cplex

create_problem(**kwargs)

Create a new LP-problem using the solver