C++ Reference: class DimensionCumulOptimizerCore

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Utility class used in Local/GlobalDimensionCumulOptimizer to set the linear solver constraints and solve the problem.

Method
dimension	Return type: const RoutingDimension*
DimensionCumulOptimizerCore	Arguments: const RoutingDimension* dimension, bool use_precedence_propagator
Optimize	Return type: bool Arguments: const std::function<int64_t(int64_t)>& next_accessor, RoutingLinearSolverWrapper* solver, std::vector<int64_t>* cumul_values, std::vector<int64_t>* break_values, int64_t* cost, int64_t* transit_cost, bool clear_lp = true
OptimizeAndPack	Return type: bool Arguments: const std::function<int64_t(int64_t)>& next_accessor, RoutingLinearSolverWrapper* solver, std::vector<int64_t>* cumul_values, std::vector<int64_t>* break_values
OptimizeAndPackSingleRoute	Return type: DimensionSchedulingStatus Arguments: int vehicle, const std::function<int64_t(int64_t)>& next_accessor, RoutingLinearSolverWrapper* solver, std::vector<int64_t>* cumul_values, std::vector<int64_t>* break_values
OptimizeSingleRoute	Return type: DimensionSchedulingStatus Arguments: int vehicle, const std::function<int64_t(int64_t)>& next_accessor, RoutingLinearSolverWrapper* solver, std::vector<int64_t>* cumul_values, std::vector<int64_t>* break_values, int64_t* cost, int64_t* transit_cost, bool clear_lp = true In the OptimizeSingleRoute() and Optimize() methods, if both "cumul_values" and "cost" parameters are null, we don't optimize the cost and stop at the first feasible solution in the linear solver (since in this case only feasibility is of interest).