C++ Reference: class RoutingGlopWrapper
Note: This documentation is automatically generated.
| Method |
AddMaximumConstraint | Return type: void Arguments: int /*max_var*/,
std::vector<int> /*vars*/ |
AddObjectiveConstraint | Return type: void |
AddProductConstraint | Return type: void Arguments: int /*product_var*/,
std::vector<int> /*vars*/ |
Clear | Return type: void |
ClearObjective | Return type: void |
CreateNewConstraint | Return type: int Arguments: int64_t lower_bound, int64_t upper_bound |
CreateNewPositiveVariable | Return type: int |
GetObjectiveCoefficient | Return type: double Arguments: int index |
GetObjectiveValue | Return type: int64_t |
GetValue | Return type: double Arguments: int index |
GetVariableLowerBound | Return type: int64_t Arguments: int index |
GetVariableUpperBound | Return type: int64_t Arguments: int index |
IsCPSATSolver | Return type: bool |
NumVariables | Return type: int |
RoutingGlopWrapper | Arguments: bool is_relaxation, const glop::GlopParameters& parameters |
SetCoefficient | Return type: void Arguments: int ct, int index, double coefficient |
SetEnforcementLiteral | Return type: void Arguments: int /*ct*/, int /*condition*/ |
SetObjectiveCoefficient | Return type: void Arguments: int index, double coefficient |
SetParameters | Return type: void Arguments: const std::string& parameters |
SetVariableBounds | Return type: bool Arguments: int index, int64_t lower_bound,
int64_t upper_bound |
SetVariableDisjointBounds | Return type: void Arguments: int index, const std::vector<int64_t>& starts,
const std::vector<int64_t>& ends |
SetVariableName | Return type: void Arguments: int index, absl::string_view name |
SolutionIsInteger | Return type: bool |
Solve | Return type: DimensionSchedulingStatus Arguments: absl::Duration duration_limit |
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Last updated 2024-08-06 UTC.
[null,null,["Last updated 2024-08-06 UTC."],[[["`RoutingGlopWrapper` is a C++ class that provides an interface to the GLOP linear programming solver."],["It allows creating and managing variables, constraints, and objectives for optimization problems."],["Users can set coefficients, bounds, and names for variables, as well as define constraints and objectives."],["The class offers methods for solving the LP problem and retrieving the solution and objective value."],["It can be used for both relaxation and integer solutions in routing and scheduling contexts."]]],[]]
