Java Reference
Java Reference
Detailed Description
Definition at line 6 of file MPSolutionResponseOrBuilder.java.
Public Member Functions | |
| boolean | hasStatus () |
| com.google.ortools.linearsolver.MPSolverResponseStatus | getStatus () |
| boolean | hasStatusStr () |
| java.lang.String | getStatusStr () |
| com.google.protobuf.ByteString | getStatusStrBytes () |
| boolean | hasObjectiveValue () |
| double | getObjectiveValue () |
| boolean | hasBestObjectiveBound () |
| double | getBestObjectiveBound () |
| java.util.List< java.lang.Double > | getVariableValueList () |
| int | getVariableValueCount () |
| double | getVariableValue (int index) |
| java.util.List< java.lang.Double > | getDualValueList () |
| int | getDualValueCount () |
| double | getDualValue (int index) |
| java.util.List< java.lang.Double > | getReducedCostList () |
| int | getReducedCostCount () |
| double | getReducedCost (int index) |
Member Function Documentation
◆ getBestObjectiveBound()
| double getBestObjectiveBound | ( | ) |
This field is only filled for MIP problems. For a minimization problem, this is a lower bound on the optimal objective value. For a maximization problem, it is an upper bound. It is only filled if the status is OPTIMAL or FEASIBLE. In the former case, best_objective_bound should be equal to objective_value (modulo numerical errors).
optional double best_objective_bound = 5;
- Returns
- The bestObjectiveBound.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getDualValue()
| double getDualValue | ( | int | index | ) |
[Advanced usage.] Values of the dual variables values in the same order as the MPModelProto::constraint field. This is a dense representation. These are not set if the problem was solved with a MIP solver (even if it is actually a linear program). These are set iff 'status' is OPTIMAL or FEASIBLE.
repeated double dual_value = 4 [packed = true];
- Parameters
-
index The index of the element to return.
- Returns
- The dualValue at the given index.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getDualValueCount()
| int getDualValueCount | ( | ) |
[Advanced usage.] Values of the dual variables values in the same order as the MPModelProto::constraint field. This is a dense representation. These are not set if the problem was solved with a MIP solver (even if it is actually a linear program). These are set iff 'status' is OPTIMAL or FEASIBLE.
repeated double dual_value = 4 [packed = true];
- Returns
- The count of dualValue.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getDualValueList()
| java.util.List<java.lang.Double> getDualValueList | ( | ) |
[Advanced usage.] Values of the dual variables values in the same order as the MPModelProto::constraint field. This is a dense representation. These are not set if the problem was solved with a MIP solver (even if it is actually a linear program). These are set iff 'status' is OPTIMAL or FEASIBLE.
repeated double dual_value = 4 [packed = true];
- Returns
- A list containing the dualValue.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getObjectiveValue()
| double getObjectiveValue | ( | ) |
Objective value corresponding to the "variable_value" below, taking into account the source "objective_offset" and "objective_coefficient". This is set iff 'status' is OPTIMAL or FEASIBLE.
optional double objective_value = 2;
- Returns
- The objectiveValue.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getReducedCost()
| double getReducedCost | ( | int | index | ) |
[Advanced usage.] Values of the reduced cost of the variables in the same order as the MPModelProto::variable. This is a dense representation. These are not set if the problem was solved with a MIP solver (even if it is actually a linear program). These are set iff 'status' is OPTIMAL or FEASIBLE.
repeated double reduced_cost = 6 [packed = true];
- Parameters
-
index The index of the element to return.
- Returns
- The reducedCost at the given index.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getReducedCostCount()
| int getReducedCostCount | ( | ) |
[Advanced usage.] Values of the reduced cost of the variables in the same order as the MPModelProto::variable. This is a dense representation. These are not set if the problem was solved with a MIP solver (even if it is actually a linear program). These are set iff 'status' is OPTIMAL or FEASIBLE.
repeated double reduced_cost = 6 [packed = true];
- Returns
- The count of reducedCost.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getReducedCostList()
| java.util.List<java.lang.Double> getReducedCostList | ( | ) |
[Advanced usage.] Values of the reduced cost of the variables in the same order as the MPModelProto::variable. This is a dense representation. These are not set if the problem was solved with a MIP solver (even if it is actually a linear program). These are set iff 'status' is OPTIMAL or FEASIBLE.
repeated double reduced_cost = 6 [packed = true];
- Returns
- A list containing the reducedCost.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getStatus()
| com.google.ortools.linearsolver.MPSolverResponseStatus getStatus | ( | ) |
Result of the optimization.
optional .operations_research.MPSolverResponseStatus status = 1 [default = MPSOLVER_UNKNOWN_STATUS];
- Returns
- The status.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getStatusStr()
| java.lang.String getStatusStr | ( | ) |
Human-readable string giving more details about the status. For example, when the status is MPSOLVER_INVALID_MODE, this can hold a description of why the model is invalid. This isn't always filled: don't depend on its value or even its presence.
optional string status_str = 7;
- Returns
- The statusStr.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getStatusStrBytes()
| com.google.protobuf.ByteString getStatusStrBytes | ( | ) |
Human-readable string giving more details about the status. For example, when the status is MPSOLVER_INVALID_MODE, this can hold a description of why the model is invalid. This isn't always filled: don't depend on its value or even its presence.
optional string status_str = 7;
- Returns
- The bytes for statusStr.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getVariableValue()
| double getVariableValue | ( | int | index | ) |
Variable values in the same order as the MPModelProto::variable field. This is a dense representation. These are set iff 'status' is OPTIMAL or FEASIBLE.
repeated double variable_value = 3 [packed = true];
- Parameters
-
index The index of the element to return.
- Returns
- The variableValue at the given index.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getVariableValueCount()
| int getVariableValueCount | ( | ) |
Variable values in the same order as the MPModelProto::variable field. This is a dense representation. These are set iff 'status' is OPTIMAL or FEASIBLE.
repeated double variable_value = 3 [packed = true];
- Returns
- The count of variableValue.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ getVariableValueList()
| java.util.List<java.lang.Double> getVariableValueList | ( | ) |
Variable values in the same order as the MPModelProto::variable field. This is a dense representation. These are set iff 'status' is OPTIMAL or FEASIBLE.
repeated double variable_value = 3 [packed = true];
- Returns
- A list containing the variableValue.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ hasBestObjectiveBound()
| boolean hasBestObjectiveBound | ( | ) |
This field is only filled for MIP problems. For a minimization problem, this is a lower bound on the optimal objective value. For a maximization problem, it is an upper bound. It is only filled if the status is OPTIMAL or FEASIBLE. In the former case, best_objective_bound should be equal to objective_value (modulo numerical errors).
optional double best_objective_bound = 5;
- Returns
- Whether the bestObjectiveBound field is set.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ hasObjectiveValue()
| boolean hasObjectiveValue | ( | ) |
Objective value corresponding to the "variable_value" below, taking into account the source "objective_offset" and "objective_coefficient". This is set iff 'status' is OPTIMAL or FEASIBLE.
optional double objective_value = 2;
- Returns
- Whether the objectiveValue field is set.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ hasStatus()
| boolean hasStatus | ( | ) |
Result of the optimization.
optional .operations_research.MPSolverResponseStatus status = 1 [default = MPSOLVER_UNKNOWN_STATUS];
- Returns
- Whether the status field is set.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
◆ hasStatusStr()
| boolean hasStatusStr | ( | ) |
Human-readable string giving more details about the status. For example, when the status is MPSOLVER_INVALID_MODE, this can hold a description of why the model is invalid. This isn't always filled: don't depend on its value or even its presence.
optional string status_str = 7;
- Returns
- Whether the statusStr field is set.
Implemented in MPSolutionResponse.Builder, and MPSolutionResponse.
The documentation for this interface was generated from the following file: