C++ Reference: class MPConstraint

This documentation is automatically generated.

The class for constraints of a Mathematical Programming (MP) model.

A constraint is represented as a linear equation or inequality.

Method
basis_status	Return type: MPSolver::BasisStatus Advanced usage: returns the basis status of the constraint. It is only available for continuous problems). Note that if a constraint "linear_expression in [lb, ub]" is transformed into "linear_expression + slack = 0" with slack in [-ub, -lb], then this status is the same as the status of the slack variable with AT_UPPER_BOUND and AT_LOWER_BOUND swapped. @see MPSolver::BasisStatus.
Clear	Return type: void Clears all variables and coefficients. Does not clear the bounds.
dual_value	Return type: double Advanced usage: returns the dual value of the constraint in the current solution (only available for continuous problems).
GetCoefficient	Return type: double Arguments: const MPVariable* const var Gets the coefficient of a given variable on the constraint (which is 0 if the variable does not appear in the constraint).
index	Return type: int Returns the index of the constraint in the MPSolver::constraints_.
indicator_value	Return type: bool
indicator_variable	Return type: const MPVariable*
is_lazy	Return type: bool Advanced usage: returns true if the constraint is "lazy" (see below).
lb	Return type: double Returns the lower bound.
name	Return type: const std::string& Returns the name of the constraint.
set_is_lazy	Return type: void Arguments: bool laziness Advanced usage: sets the constraint "laziness". This is only supported for SCIP and has no effect on other solvers. When \b laziness is true, the constraint is only considered by the Linear Programming solver if its current solution violates the constraint. In this case, the constraint is definitively added to the problem. This may be useful in some MIP problems, and may have a dramatic impact on performance. For more info see: http://tinyurl.com/lazy-constraints.
SetBounds	Return type: void Arguments: double lb, double ub Sets both the lower and upper bounds.
SetCoefficient	Return type: void Arguments: const MPVariable* const var, double coeff Sets the coefficient of the variable on the constraint. If the variable does not belong to the solver, the function just returns, or crashes in non-opt mode.
SetLB	Return type: void Arguments: double lb Sets the lower bound.
SetUB	Return type: void Arguments: double ub Sets the upper bound.
terms	Return type: const absl::flat_hash_map<const MPVariable*, double>& Returns a map from variables to their coefficients in the constraint. If a variable is not present in the map, then its coefficient is zero.
ub	Return type: double Returns the upper bound.