SolveMilpOptions (cas-client 3.2.9 API)

java.lang.Object
- com.sas.cas.CASActionOptions
- - com.sas.cas.CASGeneratedActionOptions
  - - com.sas.cas.actions.optimization.SolveMilpOptions

All Implemented Interfaces:

KeyedMap<java.lang.String,java.lang.Object>, java.io.Serializable, java.util.Map<java.lang.String,java.lang.Object>
```
public class SolveMilpOptions
extends CASGeneratedActionOptions
```
Options for solveMilp: Solves a mixed integer linear optimization problem.

See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type	Class and Description
`static class`	`SolveMilpOptions.ALLCUTS`
`static class`	`SolveMilpOptions.CONFLICTSEARCH`
`static class`	`SolveMilpOptions.CUTCLIQUE`
`static class`	`SolveMilpOptions.CUTFLOWCOVER`
`static class`	`SolveMilpOptions.CUTFLOWPATH`
`static class`	`SolveMilpOptions.CUTGOMORY`
`static class`	`SolveMilpOptions.CUTGUB`
`static class`	`SolveMilpOptions.CUTIMPLIED`
`static class`	`SolveMilpOptions.CUTKNAPSACK`
`static class`	`SolveMilpOptions.CUTLAP`
`static class`	`SolveMilpOptions.CUTMILIFTED`
`static class`	`SolveMilpOptions.CUTMIR`
`static class`	`SolveMilpOptions.CUTMULTICOMMODITY`
`static class`	`SolveMilpOptions.CUTSTRATEGY`
`static class`	`SolveMilpOptions.CUTZEROHALF`
`static class`	`SolveMilpOptions.EMPHASIS`
`static class`	`SolveMilpOptions.HEURISTICS`
`static class`	`SolveMilpOptions.LOGLEVEL`
`static class`	`SolveMilpOptions.NODESEL`
`static class`	`SolveMilpOptions.OBJSENSE`
`static class`	`SolveMilpOptions.PRESOLVER`
`static class`	`SolveMilpOptions.PROBE`
`static class`	`SolveMilpOptions.RESTARTS`
`static class`	`SolveMilpOptions.SCALE`
`static class`	`SolveMilpOptions.STRONGITER`
`static class`	`SolveMilpOptions.STRONGLEN`
`static class`	`SolveMilpOptions.SYMMETRY`
`static class`	`SolveMilpOptions.TIMETYPE`
`static class`	`SolveMilpOptions.VARSEL`

Nested classes/interfaces inherited from class com.sas.cas.CASActionOptions
CASActionOptions.EnumValue, CASActionOptions.FORMAT

Nested classes/interfaces inherited from interface java.util.Map
java.util.Map.Entry<K,V>

Field Summary

Fields
Modifier and Type	Field and Description
`static java.lang.String`	`ACTION_NAME`
`static java.lang.String`	`ACTION_SET_NAME`
`static java.lang.String`	`KEY_ABSOBJGAP`
`static java.lang.String`	`KEY_ALLCUTS`
`static java.lang.String`	`KEY_CONCURRENT`
`static java.lang.String`	`KEY_CONFLICTSEARCH`
`static java.lang.String`	`KEY_CUTCLIQUE`
`static java.lang.String`	`KEY_CUTFLOWCOVER`
`static java.lang.String`	`KEY_CUTFLOWPATH`
`static java.lang.String`	`KEY_CUTGOMORY`
`static java.lang.String`	`KEY_CUTGUB`
`static java.lang.String`	`KEY_CUTIMPLIED`
`static java.lang.String`	`KEY_CUTKNAPSACK`
`static java.lang.String`	`KEY_CUTLAP`
`static java.lang.String`	`KEY_CUTMILIFTED`
`static java.lang.String`	`KEY_CUTMIR`
`static java.lang.String`	`KEY_CUTMULTICOMMODITY`
`static java.lang.String`	`KEY_CUTOFF`
`static java.lang.String`	`KEY_CUTSFACTOR`
`static java.lang.String`	`KEY_CUTSTRATEGY`
`static java.lang.String`	`KEY_CUTZEROHALF`
`static java.lang.String`	`KEY_DATA`
`static java.lang.String`	`KEY_DECOMP`
`static java.lang.String`	`KEY_DECOMPMASTER`
`static java.lang.String`	`KEY_DECOMPMASTERIP`
`static java.lang.String`	`KEY_DECOMPSUBPROB`
`static java.lang.String`	`KEY_DETERMINISTIC`
`static java.lang.String`	`KEY_DISTRIBUTED`
`static java.lang.String`	`KEY_DUALOUT`
`static java.lang.String`	`KEY_EMPHASIS`
`static java.lang.String`	`KEY_FEASTOL`
`static java.lang.String`	`KEY_HEURISTICS`
`static java.lang.String`	`KEY_INTTOL`
`static java.lang.String`	`KEY_LOGFREQ`
`static java.lang.String`	`KEY_LOGLEVEL`
`static java.lang.String`	`KEY_MAXNODES`
`static java.lang.String`	`KEY_MAXSOLS`
`static java.lang.String`	`KEY_MAXTIME`
`static java.lang.String`	`KEY_NODESEL`
`static java.lang.String`	`KEY_NTHREADS`
`static java.lang.String`	`KEY_OBJSENSE`
`static java.lang.String`	`KEY_OPTTOL`
`static java.lang.String`	`KEY_PRESOLVER`
`static java.lang.String`	`KEY_PRIMALIN`
`static java.lang.String`	`KEY_PRIMALOUT`
`static java.lang.String`	`KEY_PRINTLEVEL`
`static java.lang.String`	`KEY_PRIORITY`
`static java.lang.String`	`KEY_PROBE`
`static java.lang.String`	`KEY_RELOBJGAP`
`static java.lang.String`	`KEY_RESTARTS`
`static java.lang.String`	`KEY_SCALE`
`static java.lang.String`	`KEY_SEED`
`static java.lang.String`	`KEY_STRONGITER`
`static java.lang.String`	`KEY_STRONGLEN`
`static java.lang.String`	`KEY_SYMMETRY`
`static java.lang.String`	`KEY_TARGET`
`static java.lang.String`	`KEY_TIMETYPE`
`static java.lang.String`	`KEY_VARSEL`

Fields inherited from class com.sas.cas.CASActionOptions
FLAGS_EXPAND_ARRAYS, FLAGS_IGNORE_DISPOSITION_ERROR, FLAGS_RETURN_RESULTS_ON_EXCEPTION, FLAGS_SKIP_ACTION_EVENTS, FLAGS_SKIP_RESULTS, HIDDEN_PASSWORD, JSON_NULL, LUA_NIL, PARAMETER_FLAG_ISPASSWORD, PARAMETER_FLAG_ISPATH, PARAMETER_FLAG_ISTABLENAME, PARAMETER_FLAG_ISVAR, PARAMETER_FLAG_REQUIRED, PYTHON_NULL, SERIALIZED_PREFIX

Constructor Summary

Constructors
Constructor and Description

SolveMilpOptions()

SolveMilpOptions(CASActionOptions options)

Constructors
Constructor and Description
`SolveMilpOptions()`
`SolveMilpOptions(CASActionOptions options)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`java.lang.Double`	`getAbsObjGap()`
`java.lang.Double`	`getAbsoluteObjectiveGap()`
`SolveMilpOptions.ALLCUTS`	`getAllCuts()`
`SolveMilpOptions.CUTCLIQUE`	`getClique()`
`java.lang.Boolean`	`getConcurrent()`
`SolveMilpOptions.CONFLICTSEARCH`	`getConflict()`
`SolveMilpOptions.CONFLICTSEARCH`	`getConflictSearch()`
`SolveMilpOptions.CUTCLIQUE`	`getCutClique()`
`SolveMilpOptions.CUTFLOWCOVER`	`getCutFlowCover()`
`SolveMilpOptions.CUTFLOWPATH`	`getCutFlowPath()`
`SolveMilpOptions.CUTGOMORY`	`getCutGomory()`
`SolveMilpOptions.CUTGUB`	`getCutGub()`
`SolveMilpOptions.CUTIMPLIED`	`getCutImplied()`
`SolveMilpOptions.CUTKNAPSACK`	`getCutKnapsack()`
`SolveMilpOptions.CUTLAP`	`getCutLap()`
`SolveMilpOptions.CUTMILIFTED`	`getCutMiLifted()`
`SolveMilpOptions.CUTMIR`	`getCutMir()`
`SolveMilpOptions.CUTMULTICOMMODITY`	`getCutMultiCommodity()`
`java.lang.Double`	`getCutoff()`
`SolveMilpOptions.CUTSTRATEGY`	`getCuts()`
`java.lang.Double`	`getCutsFactor()`
`SolveMilpOptions.CUTSTRATEGY`	`getCutStrategy()`
`SolveMilpOptions.CUTZEROHALF`	`getCutZeroHalf()`
`Castable`	`getData()`
`DecompMILP`	`getDecomp()`
`DecompMaster`	`getDecompMaster()`
`DecompMasterIp`	`getDecompMasterIp()`
`DecompMILP`	`getDecomposition()`
`DecompMaster`	`getDecompositionMaster()`
`DecompMasterIp`	`getDecompositionMasterIp()`
`DecompSubprobMILP`	`getDecompositionSubprob()`
`DecompSubprobMILP`	`getDecompSubprob()`
`java.lang.Boolean`	`getDeterministic()`
`java.lang.Boolean`	`getDistributed()`
`Casouttable`	`getDOut()`
`Casouttable`	`getDualOut()`
`Casouttable`	`getDualOutput()`
`java.lang.Double`	`getDualTol()`
`SolveMilpOptions.EMPHASIS`	`getEmphasis()`
`java.lang.Double`	`getFeasibilityTolerance()`
`java.lang.Double`	`getFeasTol()`
`SolveMilpOptions.CUTFLOWCOVER`	`getFlowCover()`
`SolveMilpOptions.CUTFLOWPATH`	`getFlowPath()`
`SolveMilpOptions.CUTGOMORY`	`getGomory()`
`SolveMilpOptions.CUTGUB`	`getGub()`
`SolveMilpOptions.HEURISTICS`	`getHeuristic()`
`SolveMilpOptions.HEURISTICS`	`getHeuristics()`
`SolveMilpOptions.CUTIMPLIED`	`getImplied()`
`java.lang.Double`	`getIntegerTolerance()`
`java.lang.Double`	`getIntTol()`
`SolveMilpOptions.CUTKNAPSACK`	`getKnapsack()`
`SolveMilpOptions.CUTLAP`	`getLap()`
`SolveMilpOptions.CUTLAP`	`getLiftandproject()`
`java.lang.Integer`	`getLogFreq()`
`java.lang.Integer`	`getLogFrequency()`
`SolveMilpOptions.LOGLEVEL`	`getLogLevel()`
`DecompMaster`	`getMaster()`
`DecompMasterIp`	`getMasterIp()`
`java.lang.Integer`	`getMaxNodes()`
`java.lang.Integer`	`getMaxSols()`
`java.lang.Double`	`getMaxTime()`
`SolveMilpOptions.CUTMILIFTED`	`getMiLifted()`
`SolveMilpOptions.CUTMIR`	`getMir()`
`SolveMilpOptions.CUTMULTICOMMODITY`	`getMultiCommodity()`
`SolveMilpOptions.NODESEL`	`getNodeSel()`
`SolveMilpOptions.NODESEL`	`getNodeSelection()`
`java.lang.Integer`	`getNThreads()`
`java.lang.Integer`	`getNumThreads()`
`SolveMilpOptions.OBJSENSE`	`getObjectiveSense()`
`SolveMilpOptions.OBJSENSE`	`getObjSense()`
`java.lang.Double`	`getOptimalityTolerance()`
`java.lang.Double`	`getOptTol()`
`Castable`	`getPIn()`
`Casouttable`	`getPOut()`
`SolveMilpOptions.PRESOLVER`	`getPresol()`
`SolveMilpOptions.PRESOLVER`	`getPresolve()`
`SolveMilpOptions.PRESOLVER`	`getPresolver()`
`Castable`	`getPrimalIn()`
`Castable`	`getPrimalInput()`
`Casouttable`	`getPrimalOut()`
`Casouttable`	`getPrimalOutput()`
`java.lang.Double`	`getPrimalTol()`
`java.lang.Integer`	`getPrintFreq()`
`java.lang.Integer`	`getPrintFrequency()`
`java.lang.Integer`	`getPrintLevel()`
`java.lang.Boolean`	`getPriority()`
`SolveMilpOptions.PROBE`	`getProbe()`
`java.lang.Double`	`getRelativeObjectiveGap()`
`java.lang.Double`	`getRelObjGap()`
`SolveMilpOptions.RESTARTS`	`getRestarts()`
`SolveMilpOptions.SCALE`	`getScale()`
`java.lang.Integer`	`getSeed()`
`java.lang.Object`	`getServerDefaultValue(java.lang.String key)` Gets the server default value, if known.
`java.lang.Object`	`getStrongBranchingCandidates()`
`java.lang.Object`	`getStrongBranchingIterations()`
`java.lang.Object`	`getStrongIter()`
`java.lang.Object`	`getStrongLen()`
`DecompSubprobMILP`	`getSubprob()`
`SolveMilpOptions.SYMMETRY`	`getSymmetry()`
`java.lang.Double`	`getTarget()`
`SolveMilpOptions.TIMETYPE`	`getTimeType()`
`SolveMilpOptions.VARSEL`	`getVariableSelection()`
`SolveMilpOptions.VARSEL`	`getVarSel()`
`SolveMilpOptions.CUTZEROHALF`	`getZeroHalf()`
`SolveMilpOptions`	`setAbsObjGap(java.lang.Double value)` Sets the value of parameter 'absObjGap': specifies a stopping criterion.
`SolveMilpOptions`	`setAbsoluteObjectiveGap(java.lang.Double value)`
`SolveMilpOptions`	`setAllCuts(SolveMilpOptions.ALLCUTS value)` Sets the value of parameter 'allCuts': provides a shorthand way of setting the level for all cuts in one setting.
`SolveMilpOptions`	`setClique(SolveMilpOptions.CUTCLIQUE value)`
`SolveMilpOptions`	`setConcurrent(java.lang.Boolean value)` Sets the value of parameter 'concurrent': enables the concurrent mode.
`SolveMilpOptions`	`setConflict(SolveMilpOptions.CONFLICTSEARCH value)`
`SolveMilpOptions`	`setConflictSearch(SolveMilpOptions.CONFLICTSEARCH value)` Sets the value of parameter 'conflictSearch': specifies the level of conflict search performed.
`SolveMilpOptions`	`setCutClique(SolveMilpOptions.CUTCLIQUE value)` Sets the value of parameter 'cutClique': specifies the level of clique cuts generated.
`SolveMilpOptions`	`setCutFlowCover(SolveMilpOptions.CUTFLOWCOVER value)` Sets the value of parameter 'cutFlowCover': specifies the level of flow cover cuts generated.
`SolveMilpOptions`	`setCutFlowPath(SolveMilpOptions.CUTFLOWPATH value)` Sets the value of parameter 'cutFlowPath': specifies the level of flow path cuts generated.
`SolveMilpOptions`	`setCutGomory(SolveMilpOptions.CUTGOMORY value)` Sets the value of parameter 'cutGomory': specifies the level of Gomory cuts generated.
`SolveMilpOptions`	`setCutGub(SolveMilpOptions.CUTGUB value)` Sets the value of parameter 'cutGub': specifies the level of generalized upper bound (GUB) cover cuts generated.
`SolveMilpOptions`	`setCutImplied(SolveMilpOptions.CUTIMPLIED value)` Sets the value of parameter 'cutImplied': specifies the level of implied bound cuts generated.
`SolveMilpOptions`	`setCutKnapsack(SolveMilpOptions.CUTKNAPSACK value)` Sets the value of parameter 'cutKnapsack': specifies the level of knapsack cover cuts generated.
`SolveMilpOptions`	`setCutLap(SolveMilpOptions.CUTLAP value)` Sets the value of parameter 'cutLap': specifies the level of lift-and-project (LAP) cuts generated.
`SolveMilpOptions`	`setCutMiLifted(SolveMilpOptions.CUTMILIFTED value)` Sets the value of parameter 'cutMiLifted': specifies the level of mixed lifted 0-1 cuts generated.
`SolveMilpOptions`	`setCutMir(SolveMilpOptions.CUTMIR value)` Sets the value of parameter 'cutMir': specifies the level of mixed integer rounding cuts generated.
`SolveMilpOptions`	`setCutMultiCommodity(SolveMilpOptions.CUTMULTICOMMODITY value)` Sets the value of parameter 'cutMultiCommodity': specifies the level of multicommodity network flow cuts generated.
`SolveMilpOptions`	`setCutoff(java.lang.Double value)` Sets the value of parameter 'cutoff': cuts off any nodes in a minimization (maximization) problem that have an objective value at or above (below) this value.
`SolveMilpOptions`	`setCuts(SolveMilpOptions.CUTSTRATEGY value)`
`SolveMilpOptions`	`setCutsFactor(java.lang.Double value)` Sets the value of parameter 'cutsFactor': specifies a row multiplier factor for cuts.
`SolveMilpOptions`	`setCutStrategy(SolveMilpOptions.CUTSTRATEGY value)` Sets the value of parameter 'cutStrategy': specifies the overall aggressiveness of the cut generation in the solver.
`SolveMilpOptions`	`setCutZeroHalf(SolveMilpOptions.CUTZEROHALF value)` Sets the value of parameter 'cutZeroHalf': specifies the level of zero-half cuts generated.
`SolveMilpOptions`	`setData(Castable value)` Sets the value of parameter 'data': specifies the input data table that corresponds to the MILP model.
`SolveMilpOptions`	`setDecomp(DecompMILP value)` Sets the value of parameter 'decomp'.
`SolveMilpOptions`	`setDecompMaster(DecompMaster value)` Sets the value of parameter 'decompMaster'.
`SolveMilpOptions`	`setDecompMasterIp(DecompMasterIp value)` Sets the value of parameter 'decompMasterIp'.
`SolveMilpOptions`	`setDecomposition(DecompMILP value)`
`SolveMilpOptions`	`setDecompositionMaster(DecompMaster value)`
`SolveMilpOptions`	`setDecompositionMasterIp(DecompMasterIp value)`
`SolveMilpOptions`	`setDecompositionSubprob(DecompSubprobMILP value)`
`SolveMilpOptions`	`setDecompSubprob(DecompSubprobMILP value)` Sets the value of parameter 'decompSubprob'.
`SolveMilpOptions`	`setDeterministic(java.lang.Boolean value)` Sets the value of parameter 'deterministic': enables deterministic mode when concurrent is enabled.
`SolveMilpOptions`	`setDistributed(java.lang.Boolean value)` Sets the value of parameter 'distributed': enables the distributed decomposition algorithm.
`SolveMilpOptions`	`setDOut(Casouttable value)`
`SolveMilpOptions`	`setDualOut(Casouttable value)` Sets the value of parameter 'dualOut': specifies the output data set to contain the constraint activities.
`SolveMilpOptions`	`setDualOutput(Casouttable value)`
`SolveMilpOptions`	`setDualTol(java.lang.Double value)`
`SolveMilpOptions`	`setEmphasis(SolveMilpOptions.EMPHASIS value)` Sets the value of parameter 'emphasis': specifies whether the solver emphasizes proving optimality over finding feasible solutions.
`SolveMilpOptions`	`setFeasibilityTolerance(java.lang.Double value)`
`SolveMilpOptions`	`setFeasTol(java.lang.Double value)` Sets the value of parameter 'feasTol': specifies the tolerance used to check the feasibility of a solution.
`SolveMilpOptions`	`setFlowCover(SolveMilpOptions.CUTFLOWCOVER value)`
`SolveMilpOptions`	`setFlowPath(SolveMilpOptions.CUTFLOWPATH value)`
`SolveMilpOptions`	`setGomory(SolveMilpOptions.CUTGOMORY value)`
`SolveMilpOptions`	`setGub(SolveMilpOptions.CUTGUB value)`
`SolveMilpOptions`	`setHeuristic(SolveMilpOptions.HEURISTICS value)`
`SolveMilpOptions`	`setHeuristics(SolveMilpOptions.HEURISTICS value)` Sets the value of parameter 'heuristics': controls the level of primal heuristics applied.
`SolveMilpOptions`	`setImplied(SolveMilpOptions.CUTIMPLIED value)`
`SolveMilpOptions`	`setIntegerTolerance(java.lang.Double value)`
`SolveMilpOptions`	`setIntTol(java.lang.Double value)` Sets the value of parameter 'intTol': specifies the amount by which an integer variable value can differ from an integer and still be considered integer feasible.
`SolveMilpOptions`	`setKnapsack(SolveMilpOptions.CUTKNAPSACK value)`
`SolveMilpOptions`	`setLap(SolveMilpOptions.CUTLAP value)`
`SolveMilpOptions`	`setLiftandproject(SolveMilpOptions.CUTLAP value)`
`SolveMilpOptions`	`setLogFreq(java.lang.Integer value)` Sets the value of parameter 'logFreq': specifies how often information is printed in the log.
`SolveMilpOptions`	`setLogFrequency(java.lang.Integer value)`
`SolveMilpOptions`	`setLogLevel(SolveMilpOptions.LOGLEVEL value)` Sets the value of parameter 'logLevel': controls the amount of information displayed in the log.
`SolveMilpOptions`	`setMaster(DecompMaster value)`
`SolveMilpOptions`	`setMasterIp(DecompMasterIp value)`
`SolveMilpOptions`	`setMaxNodes(java.lang.Integer value)` Sets the value of parameter 'maxNodes': specifies a stopping criterion.
`SolveMilpOptions`	`setMaxSols(java.lang.Integer value)` Sets the value of parameter 'maxSols': specifies a stopping criterion.
`SolveMilpOptions`	`setMaxTime(java.lang.Double value)` Sets the value of parameter 'maxTime': specifies an upper limit of seconds of time for reading in the data and performing the optimization process.
`SolveMilpOptions`	`setMiLifted(SolveMilpOptions.CUTMILIFTED value)`
`SolveMilpOptions`	`setMir(SolveMilpOptions.CUTMIR value)`
`SolveMilpOptions`	`setMultiCommodity(SolveMilpOptions.CUTMULTICOMMODITY value)`
`SolveMilpOptions`	`setNodeSel(SolveMilpOptions.NODESEL value)` Sets the value of parameter 'nodeSel': specifies the node selection strategy.
`SolveMilpOptions`	`setNodeSelection(SolveMilpOptions.NODESEL value)`
`SolveMilpOptions`	`setNThreads(java.lang.Integer value)` Sets the value of parameter 'nThreads': specifies the number of threads to use.
`SolveMilpOptions`	`setNumThreads(java.lang.Integer value)`
`SolveMilpOptions`	`setObjectiveSense(SolveMilpOptions.OBJSENSE value)`
`SolveMilpOptions`	`setObjSense(SolveMilpOptions.OBJSENSE value)` Sets the value of parameter 'objSense': specifies whether the MILP model is a minimization or a maximization problem.
`SolveMilpOptions`	`setOptimalityTolerance(java.lang.Double value)`
`SolveMilpOptions`	`setOptTol(java.lang.Double value)` Sets the value of parameter 'optTol': specifies the optimality tolerance.
`SolveMilpOptions`	`setPIn(Castable value)`
`SolveMilpOptions`	`setPOut(Casouttable value)`
`SolveMilpOptions`	`setPresol(SolveMilpOptions.PRESOLVER value)`
`SolveMilpOptions`	`setPresolve(SolveMilpOptions.PRESOLVER value)`
`SolveMilpOptions`	`setPresolver(SolveMilpOptions.PRESOLVER value)` Sets the value of parameter 'presolver': specifies the level of presolving performed.
`SolveMilpOptions`	`setPrimalIn(Castable value)` Sets the value of parameter 'primalIn': enables you to input a warm start solution in a data table.
`SolveMilpOptions`	`setPrimalInput(Castable value)`
`SolveMilpOptions`	`setPrimalOut(Casouttable value)` Sets the value of parameter 'primalOut': specifies the output data table for the primal solution.
`SolveMilpOptions`	`setPrimalOutput(Casouttable value)`
`SolveMilpOptions`	`setPrimalTol(java.lang.Double value)`
`SolveMilpOptions`	`setPrintFreq(java.lang.Integer value)`
`SolveMilpOptions`	`setPrintFrequency(java.lang.Integer value)`
`SolveMilpOptions`	`setPrintLevel(java.lang.Integer value)` Sets the value of parameter 'printLevel': specifies the amount of information that is returned.
`SolveMilpOptions`	`setPriority(java.lang.Boolean value)` Sets the value of parameter 'priority': indicates whether to use specified branching priorities for integer variables.
`SolveMilpOptions`	`setProbe(SolveMilpOptions.PROBE value)` Sets the value of parameter 'probe': specifies the level of probing performed.
`SolveMilpOptions`	`setRelativeObjectiveGap(java.lang.Double value)`
`SolveMilpOptions`	`setRelObjGap(java.lang.Double value)` Sets the value of parameter 'relObjGap': specifies a stopping criterion based on the best integer objective (BestInteger) and the best bound on the objective function value (BestBound).
`SolveMilpOptions`	`setRestarts(SolveMilpOptions.RESTARTS value)` Sets the value of parameter 'restarts': specifies the strategy for restarting.
`SolveMilpOptions`	`setScale(SolveMilpOptions.SCALE value)` Sets the value of parameter 'scale': indicates whether to scale the problem matrix.
`SolveMilpOptions`	`setSeed(java.lang.Integer value)` Sets the value of parameter 'seed': specifies the initial seed of the random number generator.
`SolveMilpOptions`	`setStrongBranchingCandidates(java.lang.Integer value)`
`SolveMilpOptions`	`setStrongBranchingCandidates(SolveMilpOptions.STRONGLEN value)`
`SolveMilpOptions`	`setStrongBranchingIterations(java.lang.Integer value)`
`SolveMilpOptions`	`setStrongBranchingIterations(SolveMilpOptions.STRONGITER value)`
`SolveMilpOptions`	`setStrongIter(java.lang.Integer value)` Sets the value of parameter 'strongIter' for alternative 2.
`SolveMilpOptions`	`setStrongIter(SolveMilpOptions.STRONGITER value)` Sets the value of parameter 'strongIter' for alternative 1.
`SolveMilpOptions`	`setStrongLen(java.lang.Integer value)` Sets the value of parameter 'strongLen' for alternative 2.
`SolveMilpOptions`	`setStrongLen(SolveMilpOptions.STRONGLEN value)` Sets the value of parameter 'strongLen' for alternative 1.
`SolveMilpOptions`	`setSubprob(DecompSubprobMILP value)`
`SolveMilpOptions`	`setSymmetry(SolveMilpOptions.SYMMETRY value)` Sets the value of parameter 'symmetry': specifies the level of symmetry detection.
`SolveMilpOptions`	`setTarget(java.lang.Double value)` Sets the value of parameter 'target': specifies a stopping criterion for minimization (maximization) problems.
`SolveMilpOptions`	`setTimeType(SolveMilpOptions.TIMETYPE value)` Sets the value of parameter 'timeType': specifies whether CPU time or real time is used for the maxTime parameter and the timing results returned.
`SolveMilpOptions`	`setVariableSelection(SolveMilpOptions.VARSEL value)`
`SolveMilpOptions`	`setVarSel(SolveMilpOptions.VARSEL value)` Sets the value of parameter 'varSel': specifies the rule for selecting the branching variable.
`SolveMilpOptions`	`setZeroHalf(SolveMilpOptions.CUTZEROHALF value)`

Methods inherited from class com.sas.cas.CASActionOptions
addActionFlags, addParameterFlag, appendValue, checkForPasswords, clear, containsKey, containsValue, convertToEnumArray, copy, deserialize, entrySet, equals, findOptionsClass, findSetter, get, getActionFlags, getActionName, getActionResponseEventListener, getActionResultEventListener, getActionSetName, getCASClient, getClassName, getDebugOptions, getDispositionEventListener, getFullyQualifiedActionName, getLogEventListener, getLogMessage, getMessageOutputStream, getMessageTagHandler, getParameter, getParameterAsBoolean, getParameterAsByteArray, getParameterAsDouble, getParameterAsDoubleArray, getParameterAsInteger, getParameterAsIntegerArray, getParameterAsLong, getParameterAsLongArray, getParameterAsString, getParameterAsStringArray, getParameterFlags, getParameterIgnoreCase, getParameterIgnoreCase, getParameterKeys, getPerformanceEventListener, getPropertyKey, getSessionID, getUserProperty, getUserPropertyKeys, hashCode, invoke, isEmpty, isFlagSet, isMap, isParameterFlagSet, isPassword, isPath, isRequired, isTable, isVariable, keySet, put, putAll, putAllDeep, putDeep, putDeep, quoteIfNotNull, remove, removeParameter, set, setActionFlags, setActionName, setActionResponseEventListener, setActionResultEventListener, setActionSetName, setCASClient, setDebugOptions, setDispositionEventListener, setFullyQualifiedActionName, setLogEventListener, setLogMessage, setMessageOutputStream, setMessageTagHandler, setParameter, setPerformanceEventListener, setPropertyKey, setSessionID, setUserProperty, size, toCASLString, toLuaString, toLuaString, toOptionsWithGeneratedClasses, toSerialized, toString, toString, toString, upcaseFirstChar, values

Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map
compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll

- Field Detail
  - ACTION_SET_NAME
```
public static final java.lang.String ACTION_SET_NAME
```
    See Also:
    
    Constant Field Values
  - ACTION_NAME
```
public static final java.lang.String ACTION_NAME
```
    See Also:
    
    Constant Field Values
  - KEY_ABSOBJGAP
```
public static final java.lang.String KEY_ABSOBJGAP
```
    See Also:
    
    Constant Field Values
  - KEY_ALLCUTS
```
public static final java.lang.String KEY_ALLCUTS
```
    See Also:
    
    Constant Field Values
  - KEY_CONFLICTSEARCH
```
public static final java.lang.String KEY_CONFLICTSEARCH
```
    See Also:
    
    Constant Field Values
  - KEY_CUTCLIQUE
```
public static final java.lang.String KEY_CUTCLIQUE
```
    See Also:
    
    Constant Field Values
  - KEY_CUTFLOWCOVER
```
public static final java.lang.String KEY_CUTFLOWCOVER
```
    See Also:
    
    Constant Field Values
  - KEY_CUTFLOWPATH
```
public static final java.lang.String KEY_CUTFLOWPATH
```
    See Also:
    
    Constant Field Values
  - KEY_CUTGOMORY
```
public static final java.lang.String KEY_CUTGOMORY
```
    See Also:
    
    Constant Field Values
  - KEY_CUTGUB
```
public static final java.lang.String KEY_CUTGUB
```
    See Also:
    
    Constant Field Values
  - KEY_CUTIMPLIED
```
public static final java.lang.String KEY_CUTIMPLIED
```
    See Also:
    
    Constant Field Values
  - KEY_CUTKNAPSACK
```
public static final java.lang.String KEY_CUTKNAPSACK
```
    See Also:
    
    Constant Field Values
  - KEY_CUTLAP
```
public static final java.lang.String KEY_CUTLAP
```
    See Also:
    
    Constant Field Values
  - KEY_CUTMILIFTED
```
public static final java.lang.String KEY_CUTMILIFTED
```
    See Also:
    
    Constant Field Values
  - KEY_CUTMIR
```
public static final java.lang.String KEY_CUTMIR
```
    See Also:
    
    Constant Field Values
  - KEY_CUTMULTICOMMODITY
```
public static final java.lang.String KEY_CUTMULTICOMMODITY
```
    See Also:
    
    Constant Field Values
  - KEY_CUTSFACTOR
```
public static final java.lang.String KEY_CUTSFACTOR
```
    See Also:
    
    Constant Field Values
  - KEY_CUTSTRATEGY
```
public static final java.lang.String KEY_CUTSTRATEGY
```
    See Also:
    
    Constant Field Values
  - KEY_CUTZEROHALF
```
public static final java.lang.String KEY_CUTZEROHALF
```
    See Also:
    
    Constant Field Values
  - KEY_EMPHASIS
```
public static final java.lang.String KEY_EMPHASIS
```
    See Also:
    
    Constant Field Values
  - KEY_HEURISTICS
```
public static final java.lang.String KEY_HEURISTICS
```
    See Also:
    
    Constant Field Values
  - KEY_INTTOL
```
public static final java.lang.String KEY_INTTOL
```
    See Also:
    
    Constant Field Values
  - KEY_MAXNODES
```
public static final java.lang.String KEY_MAXNODES
```
    See Also:
    
    Constant Field Values
  - KEY_MAXSOLS
```
public static final java.lang.String KEY_MAXSOLS
```
    See Also:
    
    Constant Field Values
  - KEY_NODESEL
```
public static final java.lang.String KEY_NODESEL
```
    See Also:
    
    Constant Field Values
  - KEY_PROBE
```
public static final java.lang.String KEY_PROBE
```
    See Also:
    
    Constant Field Values
  - KEY_RESTARTS
```
public static final java.lang.String KEY_RESTARTS
```
    See Also:
    
    Constant Field Values
  - KEY_STRONGITER
```
public static final java.lang.String KEY_STRONGITER
```
    See Also:
    
    Constant Field Values
  - KEY_STRONGLEN
```
public static final java.lang.String KEY_STRONGLEN
```
    See Also:
    
    Constant Field Values
  - KEY_SYMMETRY
```
public static final java.lang.String KEY_SYMMETRY
```
    See Also:
    
    Constant Field Values
  - KEY_TARGET
```
public static final java.lang.String KEY_TARGET
```
    See Also:
    
    Constant Field Values
  - KEY_VARSEL
```
public static final java.lang.String KEY_VARSEL
```
    See Also:
    
    Constant Field Values
  - KEY_LOGFREQ
```
public static final java.lang.String KEY_LOGFREQ
```
    See Also:
    
    Constant Field Values
  - KEY_MAXTIME
```
public static final java.lang.String KEY_MAXTIME
```
    See Also:
    
    Constant Field Values
  - KEY_NTHREADS
```
public static final java.lang.String KEY_NTHREADS
```
    See Also:
    
    Constant Field Values
  - KEY_SCALE
```
public static final java.lang.String KEY_SCALE
```
    See Also:
    
    Constant Field Values
  - KEY_SEED
```
public static final java.lang.String KEY_SEED
```
    See Also:
    
    Constant Field Values
  - KEY_TIMETYPE
```
public static final java.lang.String KEY_TIMETYPE
```
    See Also:
    
    Constant Field Values
  - KEY_FEASTOL
```
public static final java.lang.String KEY_FEASTOL
```
    See Also:
    
    Constant Field Values
  - KEY_LOGLEVEL
```
public static final java.lang.String KEY_LOGLEVEL
```
    See Also:
    
    Constant Field Values
  - KEY_OPTTOL
```
public static final java.lang.String KEY_OPTTOL
```
    See Also:
    
    Constant Field Values
  - KEY_PRESOLVER
```
public static final java.lang.String KEY_PRESOLVER
```
    See Also:
    
    Constant Field Values
  - KEY_PRINTLEVEL
```
public static final java.lang.String KEY_PRINTLEVEL
```
    See Also:
    
    Constant Field Values
  - KEY_DECOMP
```
public static final java.lang.String KEY_DECOMP
```
    See Also:
    
    Constant Field Values
  - KEY_DECOMPMASTER
```
public static final java.lang.String KEY_DECOMPMASTER
```
    See Also:
    
    Constant Field Values
  - KEY_DECOMPMASTERIP
```
public static final java.lang.String KEY_DECOMPMASTERIP
```
    See Also:
    
    Constant Field Values
  - KEY_DECOMPSUBPROB
```
public static final java.lang.String KEY_DECOMPSUBPROB
```
    See Also:
    
    Constant Field Values
  - KEY_DISTRIBUTED
```
public static final java.lang.String KEY_DISTRIBUTED
```
    See Also:
    
    Constant Field Values
  - KEY_DATA
```
public static final java.lang.String KEY_DATA
```
    See Also:
    
    Constant Field Values
  - KEY_PRIMALIN
```
public static final java.lang.String KEY_PRIMALIN
```
    See Also:
    
    Constant Field Values
  - KEY_PRIMALOUT
```
public static final java.lang.String KEY_PRIMALOUT
```
    See Also:
    
    Constant Field Values
  - KEY_DUALOUT
```
public static final java.lang.String KEY_DUALOUT
```
    See Also:
    
    Constant Field Values
  - KEY_CUTOFF
```
public static final java.lang.String KEY_CUTOFF
```
    See Also:
    
    Constant Field Values
  - KEY_OBJSENSE
```
public static final java.lang.String KEY_OBJSENSE
```
    See Also:
    
    Constant Field Values
  - KEY_CONCURRENT
```
public static final java.lang.String KEY_CONCURRENT
```
    See Also:
    
    Constant Field Values
  - KEY_DETERMINISTIC
```
public static final java.lang.String KEY_DETERMINISTIC
```
    See Also:
    
    Constant Field Values
  - KEY_PRIORITY
```
public static final java.lang.String KEY_PRIORITY
```
    See Also:
    
    Constant Field Values
  - KEY_RELOBJGAP
```
public static final java.lang.String KEY_RELOBJGAP
```
    See Also:
    
    Constant Field Values
- Constructor Detail
  - SolveMilpOptions
```
public SolveMilpOptions()
```
  - SolveMilpOptions
```
public SolveMilpOptions(CASActionOptions options)
```
- Method Detail
  - getServerDefaultValue
```
public java.lang.Object getServerDefaultValue(java.lang.String key)
```
    Description copied from class: CASActionOptions
    
    Gets the server default value, if known.
    
    Overrides:
    
    getServerDefaultValue in class CASActionOptions
    
    Parameters:
    
    key - The parameter key
    
    Returns:
    
    THe default value, or null if not known
  - getAbsObjGap
```
public java.lang.Double getAbsObjGap()
```
  - getAbsoluteObjectiveGap
```
public java.lang.Double getAbsoluteObjectiveGap()
```
  - setAbsObjGap
```
public SolveMilpOptions setAbsObjGap(java.lang.Double value)
```
    Sets the value of parameter 'absObjGap': specifies a stopping criterion. When the absolute difference between the best integer objective and the best bound on the objective function value becomes smaller than this value, the algorithm stops. The server default is 1e-06.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setAbsoluteObjectiveGap
```
public SolveMilpOptions setAbsoluteObjectiveGap(java.lang.Double value)
```
  - getAllCuts
```
public SolveMilpOptions.ALLCUTS getAllCuts()
```
  - setAllCuts
```
public SolveMilpOptions setAllCuts(SolveMilpOptions.ALLCUTS value)
```
    Sets the value of parameter 'allCuts': provides a shorthand way of setting the level for all cuts in one setting. In addition, you can override levels for individual cuts with the other cut parameters. The server default is ALLCUTS.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getConflictSearch
```
public SolveMilpOptions.CONFLICTSEARCH getConflictSearch()
```
  - getConflict
```
public SolveMilpOptions.CONFLICTSEARCH getConflict()
```
  - setConflictSearch
```
public SolveMilpOptions setConflictSearch(SolveMilpOptions.CONFLICTSEARCH value)
```
    Sets the value of parameter 'conflictSearch': specifies the level of conflict search performed. Conflict search is used to find clauses resulting from infeasible subproblems that arise in the search tree. The server default is CONFLICTSEARCH.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setConflict
```
public SolveMilpOptions setConflict(SolveMilpOptions.CONFLICTSEARCH value)
```
  - getCutClique
```
public SolveMilpOptions.CUTCLIQUE getCutClique()
```
  - getClique
```
public SolveMilpOptions.CUTCLIQUE getClique()
```
  - setCutClique
```
public SolveMilpOptions setCutClique(SolveMilpOptions.CUTCLIQUE value)
```
    Sets the value of parameter 'cutClique': specifies the level of clique cuts generated. This parameter overrides the allCuts parameter. The server default is CUTCLIQUE.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setClique
```
public SolveMilpOptions setClique(SolveMilpOptions.CUTCLIQUE value)
```
  - getCutFlowCover
```
public SolveMilpOptions.CUTFLOWCOVER getCutFlowCover()
```
  - getFlowCover
```
public SolveMilpOptions.CUTFLOWCOVER getFlowCover()
```
  - setCutFlowCover
```
public SolveMilpOptions setCutFlowCover(SolveMilpOptions.CUTFLOWCOVER value)
```
    Sets the value of parameter 'cutFlowCover': specifies the level of flow cover cuts generated. This parameter overrides the allCuts parameter. The server default is CUTFLOWCOVER.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setFlowCover
```
public SolveMilpOptions setFlowCover(SolveMilpOptions.CUTFLOWCOVER value)
```
  - getCutFlowPath
```
public SolveMilpOptions.CUTFLOWPATH getCutFlowPath()
```
  - getFlowPath
```
public SolveMilpOptions.CUTFLOWPATH getFlowPath()
```
  - setCutFlowPath
```
public SolveMilpOptions setCutFlowPath(SolveMilpOptions.CUTFLOWPATH value)
```
    Sets the value of parameter 'cutFlowPath': specifies the level of flow path cuts generated. This parameter overrides the allCuts parameter. The server default is CUTFLOWPATH.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setFlowPath
```
public SolveMilpOptions setFlowPath(SolveMilpOptions.CUTFLOWPATH value)
```
  - getCutGomory
```
public SolveMilpOptions.CUTGOMORY getCutGomory()
```
  - getGomory
```
public SolveMilpOptions.CUTGOMORY getGomory()
```
  - setCutGomory
```
public SolveMilpOptions setCutGomory(SolveMilpOptions.CUTGOMORY value)
```
    Sets the value of parameter 'cutGomory': specifies the level of Gomory cuts generated. This parameter overrides the allCuts parameter. The server default is CUTGOMORY.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setGomory
```
public SolveMilpOptions setGomory(SolveMilpOptions.CUTGOMORY value)
```
  - getCutGub
```
public SolveMilpOptions.CUTGUB getCutGub()
```
  - getGub
```
public SolveMilpOptions.CUTGUB getGub()
```
  - setCutGub
```
public SolveMilpOptions setCutGub(SolveMilpOptions.CUTGUB value)
```
    Sets the value of parameter 'cutGub': specifies the level of generalized upper bound (GUB) cover cuts generated. This parameter overrides the allCuts parameter. The server default is CUTGUB.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setGub
```
public SolveMilpOptions setGub(SolveMilpOptions.CUTGUB value)
```
  - getCutImplied
```
public SolveMilpOptions.CUTIMPLIED getCutImplied()
```
  - getImplied
```
public SolveMilpOptions.CUTIMPLIED getImplied()
```
  - setCutImplied
```
public SolveMilpOptions setCutImplied(SolveMilpOptions.CUTIMPLIED value)
```
    Sets the value of parameter 'cutImplied': specifies the level of implied bound cuts generated. This parameter overrides the allCuts parameter. The server default is CUTIMPLIED.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setImplied
```
public SolveMilpOptions setImplied(SolveMilpOptions.CUTIMPLIED value)
```
  - getCutKnapsack
```
public SolveMilpOptions.CUTKNAPSACK getCutKnapsack()
```
  - getKnapsack
```
public SolveMilpOptions.CUTKNAPSACK getKnapsack()
```
  - setCutKnapsack
```
public SolveMilpOptions setCutKnapsack(SolveMilpOptions.CUTKNAPSACK value)
```
    Sets the value of parameter 'cutKnapsack': specifies the level of knapsack cover cuts generated. This parameter overrides the allCuts parameter. The server default is CUTKNAPSACK.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setKnapsack
```
public SolveMilpOptions setKnapsack(SolveMilpOptions.CUTKNAPSACK value)
```
  - getCutLap
```
public SolveMilpOptions.CUTLAP getCutLap()
```
  - getLap
```
public SolveMilpOptions.CUTLAP getLap()
```
  - getLiftandproject
```
public SolveMilpOptions.CUTLAP getLiftandproject()
```
  - setCutLap
```
public SolveMilpOptions setCutLap(SolveMilpOptions.CUTLAP value)
```
    Sets the value of parameter 'cutLap': specifies the level of lift-and-project (LAP) cuts generated. This parameter overrides the allCuts parameter. The server default is CUTLAP.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setLap
```
public SolveMilpOptions setLap(SolveMilpOptions.CUTLAP value)
```
  - setLiftandproject
```
public SolveMilpOptions setLiftandproject(SolveMilpOptions.CUTLAP value)
```
  - getCutMiLifted
```
public SolveMilpOptions.CUTMILIFTED getCutMiLifted()
```
  - getMiLifted
```
public SolveMilpOptions.CUTMILIFTED getMiLifted()
```
  - setCutMiLifted
```
public SolveMilpOptions setCutMiLifted(SolveMilpOptions.CUTMILIFTED value)
```
    Sets the value of parameter 'cutMiLifted': specifies the level of mixed lifted 0-1 cuts generated. This parameter overrides the allCuts parameter. The server default is CUTMILIFTED.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setMiLifted
```
public SolveMilpOptions setMiLifted(SolveMilpOptions.CUTMILIFTED value)
```
  - getCutMir
```
public SolveMilpOptions.CUTMIR getCutMir()
```
  - getMir
```
public SolveMilpOptions.CUTMIR getMir()
```
  - setCutMir
```
public SolveMilpOptions setCutMir(SolveMilpOptions.CUTMIR value)
```
    Sets the value of parameter 'cutMir': specifies the level of mixed integer rounding cuts generated. This parameter overrides the allCuts parameter. The server default is CUTMIR.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setMir
```
public SolveMilpOptions setMir(SolveMilpOptions.CUTMIR value)
```
  - getCutMultiCommodity
```
public SolveMilpOptions.CUTMULTICOMMODITY getCutMultiCommodity()
```
  - getMultiCommodity
```
public SolveMilpOptions.CUTMULTICOMMODITY getMultiCommodity()
```
  - setCutMultiCommodity
```
public SolveMilpOptions setCutMultiCommodity(SolveMilpOptions.CUTMULTICOMMODITY value)
```
    Sets the value of parameter 'cutMultiCommodity': specifies the level of multicommodity network flow cuts generated. This parameter overrides the allCuts parameter. The server default is CUTMULTICOMMODITY.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setMultiCommodity
```
public SolveMilpOptions setMultiCommodity(SolveMilpOptions.CUTMULTICOMMODITY value)
```
  - getCutsFactor
```
public java.lang.Double getCutsFactor()
```
  - setCutsFactor
```
public SolveMilpOptions setCutsFactor(java.lang.Double value)
```
    Sets the value of parameter 'cutsFactor': specifies a row multiplier factor for cuts. The number of cuts that are added is limited to this factor times the original number of rows. The default value is automatically calculated.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getCutStrategy
```
public SolveMilpOptions.CUTSTRATEGY getCutStrategy()
```
  - getCuts
```
public SolveMilpOptions.CUTSTRATEGY getCuts()
```
  - setCutStrategy
```
public SolveMilpOptions setCutStrategy(SolveMilpOptions.CUTSTRATEGY value)
```
    Sets the value of parameter 'cutStrategy': specifies the overall aggressiveness of the cut generation in the solver. Setting a nondefault value adjusts a number of cut parameters such that the cut generation is basic, moderate, or aggressive compared to the default value. The server default is CUTSTRATEGY.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setCuts
```
public SolveMilpOptions setCuts(SolveMilpOptions.CUTSTRATEGY value)
```
  - getCutZeroHalf
```
public SolveMilpOptions.CUTZEROHALF getCutZeroHalf()
```
  - getZeroHalf
```
public SolveMilpOptions.CUTZEROHALF getZeroHalf()
```
  - setCutZeroHalf
```
public SolveMilpOptions setCutZeroHalf(SolveMilpOptions.CUTZEROHALF value)
```
    Sets the value of parameter 'cutZeroHalf': specifies the level of zero-half cuts generated. This parameter overrides the allCuts parameter. The server default is CUTZEROHALF.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setZeroHalf
```
public SolveMilpOptions setZeroHalf(SolveMilpOptions.CUTZEROHALF value)
```
  - getEmphasis
```
public SolveMilpOptions.EMPHASIS getEmphasis()
```
  - setEmphasis
```
public SolveMilpOptions setEmphasis(SolveMilpOptions.EMPHASIS value)
```
    Sets the value of parameter 'emphasis': specifies whether the solver emphasizes proving optimality over finding feasible solutions. The server default is EMPHASIS.BALANCE.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getHeuristics
```
public SolveMilpOptions.HEURISTICS getHeuristics()
```
  - getHeuristic
```
public SolveMilpOptions.HEURISTICS getHeuristic()
```
  - setHeuristics
```
public SolveMilpOptions setHeuristics(SolveMilpOptions.HEURISTICS value)
```
    Sets the value of parameter 'heuristics': controls the level of primal heuristics applied. This level determines how frequently primal heuristics are applied during the branch-and-bound tree search. It also affects the maximum number of iterations allowed in iterative heuristics. Some computationally expensive heuristics might be disabled by the solver at less aggressive levels. Setting heuristics=NONE does not disable the heuristics that repair an infeasible input solution that is specified in a primalIn data table. The server default is HEURISTICS.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setHeuristic
```
public SolveMilpOptions setHeuristic(SolveMilpOptions.HEURISTICS value)
```
  - getIntTol
```
public java.lang.Double getIntTol()
```
  - getIntegerTolerance
```
public java.lang.Double getIntegerTolerance()
```
  - setIntTol
```
public SolveMilpOptions setIntTol(java.lang.Double value)
```
    Sets the value of parameter 'intTol': specifies the amount by which an integer variable value can differ from an integer and still be considered integer feasible. The value can't be smaller than the feasibility tolerance. If the value less than the value of the feasTol parameter, then feasTol is set to the value of intTol. The server default is 1e-05.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setIntegerTolerance
```
public SolveMilpOptions setIntegerTolerance(java.lang.Double value)
```
  - getMaxNodes
```
public java.lang.Integer getMaxNodes()
```
  - setMaxNodes
```
public SolveMilpOptions setMaxNodes(java.lang.Integer value)
```
    Sets the value of parameter 'maxNodes': specifies a stopping criterion. If this many branch-and-bound nodes have been processed, then the solver stops. If you do not specify this parameter, the procedure does not stop based on the number of nodes processed.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getMaxSols
```
public java.lang.Integer getMaxSols()
```
  - setMaxSols
```
public SolveMilpOptions setMaxSols(java.lang.Integer value)
```
    Sets the value of parameter 'maxSols': specifies a stopping criterion. If this many solutions have been found, then the solver stops. If you do not specify this parameter, the procedure does not stop based on the number of solutions found.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getNodeSel
```
public SolveMilpOptions.NODESEL getNodeSel()
```
  - getNodeSelection
```
public SolveMilpOptions.NODESEL getNodeSelection()
```
  - setNodeSel
```
public SolveMilpOptions setNodeSel(SolveMilpOptions.NODESEL value)
```
    Sets the value of parameter 'nodeSel': specifies the node selection strategy. The server default is NODESEL.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setNodeSelection
```
public SolveMilpOptions setNodeSelection(SolveMilpOptions.NODESEL value)
```
  - getProbe
```
public SolveMilpOptions.PROBE getProbe()
```
  - setProbe
```
public SolveMilpOptions setProbe(SolveMilpOptions.PROBE value)
```
    Sets the value of parameter 'probe': specifies the level of probing performed. The server default is PROBE.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getRestarts
```
public SolveMilpOptions.RESTARTS getRestarts()
```
  - setRestarts
```
public SolveMilpOptions setRestarts(SolveMilpOptions.RESTARTS value)
```
    Sets the value of parameter 'restarts': specifies the strategy for restarting. The server default is RESTARTS.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getStrongIter
```
public java.lang.Object getStrongIter()
```
  - getStrongBranchingIterations
```
public java.lang.Object getStrongBranchingIterations()
```
  - setStrongIter
```
public SolveMilpOptions setStrongIter(SolveMilpOptions.STRONGITER value)
```
    Sets the value of parameter 'strongIter' for alternative 1. The server default is STRONGITER.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setStrongBranchingIterations
```
public SolveMilpOptions setStrongBranchingIterations(SolveMilpOptions.STRONGITER value)
```
  - setStrongIter
```
public SolveMilpOptions setStrongIter(java.lang.Integer value)
```
    Sets the value of parameter 'strongIter' for alternative 2.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setStrongBranchingIterations
```
public SolveMilpOptions setStrongBranchingIterations(java.lang.Integer value)
```
  - getStrongLen
```
public java.lang.Object getStrongLen()
```
  - getStrongBranchingCandidates
```
public java.lang.Object getStrongBranchingCandidates()
```
  - setStrongLen
```
public SolveMilpOptions setStrongLen(SolveMilpOptions.STRONGLEN value)
```
    Sets the value of parameter 'strongLen' for alternative 1. The server default is STRONGLEN.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setStrongBranchingCandidates
```
public SolveMilpOptions setStrongBranchingCandidates(SolveMilpOptions.STRONGLEN value)
```
  - setStrongLen
```
public SolveMilpOptions setStrongLen(java.lang.Integer value)
```
    Sets the value of parameter 'strongLen' for alternative 2.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setStrongBranchingCandidates
```
public SolveMilpOptions setStrongBranchingCandidates(java.lang.Integer value)
```
  - getSymmetry
```
public SolveMilpOptions.SYMMETRY getSymmetry()
```
  - setSymmetry
```
public SolveMilpOptions setSymmetry(SolveMilpOptions.SYMMETRY value)
```
    Sets the value of parameter 'symmetry': specifies the level of symmetry detection. Symmetry detection identifies groups of equivalent decision variables and uses this information to solve the problem more efficiently. The server default is SYMMETRY.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getTarget
```
public java.lang.Double getTarget()
```
  - setTarget
```
public SolveMilpOptions setTarget(java.lang.Double value)
```
    Sets the value of parameter 'target': specifies a stopping criterion for minimization (maximization) problems. If the best integer objective found so far is better than or equal to this number, the procedure stops. The default value is the largest (in magnitude) negative (positive) number that can be represented by a double.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getVarSel
```
public SolveMilpOptions.VARSEL getVarSel()
```
  - getVariableSelection
```
public SolveMilpOptions.VARSEL getVariableSelection()
```
  - setVarSel
```
public SolveMilpOptions setVarSel(SolveMilpOptions.VARSEL value)
```
    Sets the value of parameter 'varSel': specifies the rule for selecting the branching variable. The server default is VARSEL.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setVariableSelection
```
public SolveMilpOptions setVariableSelection(SolveMilpOptions.VARSEL value)
```
  - getLogFreq
```
public java.lang.Integer getLogFreq()
```
  - getLogFrequency
```
public java.lang.Integer getLogFrequency()
```
  - getPrintFreq
```
public java.lang.Integer getPrintFreq()
```
  - getPrintFrequency
```
public java.lang.Integer getPrintFrequency()
```
  - setLogFreq
```
public SolveMilpOptions setLogFreq(java.lang.Integer value)
```
    Sets the value of parameter 'logFreq': specifies how often information is printed in the log. The default is automatically determined and depends on the algorithms used.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setLogFrequency
```
public SolveMilpOptions setLogFrequency(java.lang.Integer value)
```
  - setPrintFreq
```
public SolveMilpOptions setPrintFreq(java.lang.Integer value)
```
  - setPrintFrequency
```
public SolveMilpOptions setPrintFrequency(java.lang.Integer value)
```
  - getMaxTime
```
public java.lang.Double getMaxTime()
```
  - setMaxTime
```
public SolveMilpOptions setMaxTime(java.lang.Double value)
```
    Sets the value of parameter 'maxTime': specifies an upper limit of seconds of time for reading in the data and performing the optimization process. The value of the timeType parameter determines the type of units used. If you do not specify this parameter, the procedure does not stop based on the amount of time elapsed.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getNThreads
```
public java.lang.Integer getNThreads()
```
  - getNumThreads
```
public java.lang.Integer getNumThreads()
```
  - setNThreads
```
public SolveMilpOptions setNThreads(java.lang.Integer value)
```
    Sets the value of parameter 'nThreads': specifies the number of threads to use. Setting the nthreads parameter to a number greater than the actual number of available cores might result in reduced performance. Specifying a high nThreads value does not guarantee shorter solution time; the actual change in solution time depends on the computing hardware and the scalability of the underlying algorithms in the specified procedure. In some circumstances, a procedure might use fewer threads than the specified value of the nThreads parameter because the procedure's internal algorithms have determined that a smaller number is preferable. The default is the number of cores on the machine that executes the process, or the number of cores permissible based on your installation (whichever is less). The number of simultaneously active CPUs is limited by your installation and license configuration.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setNumThreads
```
public SolveMilpOptions setNumThreads(java.lang.Integer value)
```
  - getScale
```
public SolveMilpOptions.SCALE getScale()
```
  - setScale
```
public SolveMilpOptions setScale(SolveMilpOptions.SCALE value)
```
    Sets the value of parameter 'scale': indicates whether to scale the problem matrix. The server default is SCALE.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getSeed
```
public java.lang.Integer getSeed()
```
  - setSeed
```
public SolveMilpOptions setSeed(java.lang.Integer value)
```
    Sets the value of parameter 'seed': specifies the initial seed of the random number generator. This parameter affects the perturbation in the simplex solvers; thus it might result in a different optimal solution and a different solver path. This parameter usually has a significant, but unpredictable, effect on the solution time. The server default is 100.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getTimeType
```
public SolveMilpOptions.TIMETYPE getTimeType()
```
  - setTimeType
```
public SolveMilpOptions setTimeType(SolveMilpOptions.TIMETYPE value)
```
    Sets the value of parameter 'timeType': specifies whether CPU time or real time is used for the maxTime parameter and the timing results returned. The default value depends on the algorithm used and on various parameters. When the solver is used with distributed or multithreaded processing, then by default is real. Otherwise, by default is cpu. The server default is TIMETYPE.CPU.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getFeasTol
```
public java.lang.Double getFeasTol()
```
  - getPrimalTol
```
public java.lang.Double getPrimalTol()
```
  - getFeasibilityTolerance
```
public java.lang.Double getFeasibilityTolerance()
```
  - setFeasTol
```
public SolveMilpOptions setFeasTol(java.lang.Double value)
```
    Sets the value of parameter 'feasTol': specifies the tolerance used to check the feasibility of a solution. This tolerance applies both to the maximum violation of bounds on variables and to the difference between the right-hand sides and left-hand sides of constraints. The server default is 1e-06.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setPrimalTol
```
public SolveMilpOptions setPrimalTol(java.lang.Double value)
```
  - setFeasibilityTolerance
```
public SolveMilpOptions setFeasibilityTolerance(java.lang.Double value)
```
  - getLogLevel
```
public SolveMilpOptions.LOGLEVEL getLogLevel()
```
  - setLogLevel
```
public SolveMilpOptions setLogLevel(SolveMilpOptions.LOGLEVEL value)
```
    Sets the value of parameter 'logLevel': controls the amount of information displayed in the log. The server default is LOGLEVEL.MODERATE.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getOptTol
```
public java.lang.Double getOptTol()
```
  - getDualTol
```
public java.lang.Double getDualTol()
```
  - getOptimalityTolerance
```
public java.lang.Double getOptimalityTolerance()
```
  - setOptTol
```
public SolveMilpOptions setOptTol(java.lang.Double value)
```
    Sets the value of parameter 'optTol': specifies the optimality tolerance. The server default is 1e-06.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setDualTol
```
public SolveMilpOptions setDualTol(java.lang.Double value)
```
  - setOptimalityTolerance
```
public SolveMilpOptions setOptimalityTolerance(java.lang.Double value)
```
  - getPresolver
```
public SolveMilpOptions.PRESOLVER getPresolver()
```
  - getPresol
```
public SolveMilpOptions.PRESOLVER getPresol()
```
  - getPresolve
```
public SolveMilpOptions.PRESOLVER getPresolve()
```
  - setPresolver
```
public SolveMilpOptions setPresolver(SolveMilpOptions.PRESOLVER value)
```
    Sets the value of parameter 'presolver': specifies the level of presolving performed. The server default is PRESOLVER.AUTOMATIC.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setPresol
```
public SolveMilpOptions setPresol(SolveMilpOptions.PRESOLVER value)
```
  - setPresolve
```
public SolveMilpOptions setPresolve(SolveMilpOptions.PRESOLVER value)
```
  - getPrintLevel
```
public java.lang.Integer getPrintLevel()
```
  - setPrintLevel
```
public SolveMilpOptions setPrintLevel(java.lang.Integer value)
```
    Sets the value of parameter 'printLevel': specifies the amount of information that is returned. The server default is 1.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getDecomp
```
public DecompMILP getDecomp()
```
  - getDecomposition
```
public DecompMILP getDecomposition()
```
  - setDecomp
```
public SolveMilpOptions setDecomp(DecompMILP value)
```
    Sets the value of parameter 'decomp'.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setDecomposition
```
public SolveMilpOptions setDecomposition(DecompMILP value)
```
  - getDecompMaster
```
public DecompMaster getDecompMaster()
```
  - getMaster
```
public DecompMaster getMaster()
```
  - getDecompositionMaster
```
public DecompMaster getDecompositionMaster()
```
  - setDecompMaster
```
public SolveMilpOptions setDecompMaster(DecompMaster value)
```
    Sets the value of parameter 'decompMaster'.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setMaster
```
public SolveMilpOptions setMaster(DecompMaster value)
```
  - setDecompositionMaster
```
public SolveMilpOptions setDecompositionMaster(DecompMaster value)
```
  - getDecompMasterIp
```
public DecompMasterIp getDecompMasterIp()
```
  - getMasterIp
```
public DecompMasterIp getMasterIp()
```
  - getDecompositionMasterIp
```
public DecompMasterIp getDecompositionMasterIp()
```
  - setDecompMasterIp
```
public SolveMilpOptions setDecompMasterIp(DecompMasterIp value)
```
    Sets the value of parameter 'decompMasterIp'.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setMasterIp
```
public SolveMilpOptions setMasterIp(DecompMasterIp value)
```
  - setDecompositionMasterIp
```
public SolveMilpOptions setDecompositionMasterIp(DecompMasterIp value)
```
  - getDecompSubprob
```
public DecompSubprobMILP getDecompSubprob()
```
  - getSubprob
```
public DecompSubprobMILP getSubprob()
```
  - getDecompositionSubprob
```
public DecompSubprobMILP getDecompositionSubprob()
```
  - setDecompSubprob
```
public SolveMilpOptions setDecompSubprob(DecompSubprobMILP value)
```
    Sets the value of parameter 'decompSubprob'.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setSubprob
```
public SolveMilpOptions setSubprob(DecompSubprobMILP value)
```
  - setDecompositionSubprob
```
public SolveMilpOptions setDecompositionSubprob(DecompSubprobMILP value)
```
  - getDistributed
```
public java.lang.Boolean getDistributed()
```
  - setDistributed
```
public SolveMilpOptions setDistributed(java.lang.Boolean value)
```
    Sets the value of parameter 'distributed': enables the distributed decomposition algorithm. The server default is FALSE.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getData
```
public Castable getData()
```
  - setData
```
public SolveMilpOptions setData(Castable value)
```
    Sets the value of parameter 'data': specifies the input data table that corresponds to the MILP model.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getPrimalIn
```
public Castable getPrimalIn()
```
  - getPIn
```
public Castable getPIn()
```
  - getPrimalInput
```
public Castable getPrimalInput()
```
  - setPrimalIn
```
public SolveMilpOptions setPrimalIn(Castable value)
```
    Sets the value of parameter 'primalIn': enables you to input a warm start solution in a data table. The action validates both the data table and the solution stored in the data table. If the data table is not valid, then the parameter is ignored. If the solution stored in a valid data table is a feasible integer solution, then it provides an incumbent solution and a bound for the branch-and-bound algorithm. If the solution stored in a valid data table is infeasible, contains missing values, or contains fractional values for integer variables, the action tries to repair the solution with a number of specialized repair heuristics.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setPIn
```
public SolveMilpOptions setPIn(Castable value)
```
  - setPrimalInput
```
public SolveMilpOptions setPrimalInput(Castable value)
```
  - getPrimalOut
```
public Casouttable getPrimalOut()
```
  - getPOut
```
public Casouttable getPOut()
```
  - getPrimalOutput
```
public Casouttable getPrimalOutput()
```
  - setPrimalOut
```
public SolveMilpOptions setPrimalOut(Casouttable value)
```
    Sets the value of parameter 'primalOut': specifies the output data table for the primal solution. This data table contains the primal solution information.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setPOut
```
public SolveMilpOptions setPOut(Casouttable value)
```
  - setPrimalOutput
```
public SolveMilpOptions setPrimalOutput(Casouttable value)
```
  - getDualOut
```
public Casouttable getDualOut()
```
  - getDOut
```
public Casouttable getDOut()
```
  - getDualOutput
```
public Casouttable getDualOutput()
```
  - setDualOut
```
public SolveMilpOptions setDualOut(Casouttable value)
```
    Sets the value of parameter 'dualOut': specifies the output data set to contain the constraint activities.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setDOut
```
public SolveMilpOptions setDOut(Casouttable value)
```
  - setDualOutput
```
public SolveMilpOptions setDualOutput(Casouttable value)
```
  - getCutoff
```
public java.lang.Double getCutoff()
```
  - setCutoff
```
public SolveMilpOptions setCutoff(java.lang.Double value)
```
    Sets the value of parameter 'cutoff': cuts off any nodes in a minimization (maximization) problem that have an objective value at or above (below) this value. The default value is the largest (smallest) number that can be represented by a double.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getObjSense
```
public SolveMilpOptions.OBJSENSE getObjSense()
```
  - getObjectiveSense
```
public SolveMilpOptions.OBJSENSE getObjectiveSense()
```
  - setObjSense
```
public SolveMilpOptions setObjSense(SolveMilpOptions.OBJSENSE value)
```
    Sets the value of parameter 'objSense': specifies whether the MILP model is a minimization or a maximization problem. Alternatively, you can specify the objective sense in the input data table. If for some reason the objective sense is specified differently in these two places, this parameter supersedes the objective sense specified in the input data table. The server default is OBJSENSE.MIN.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setObjectiveSense
```
public SolveMilpOptions setObjectiveSense(SolveMilpOptions.OBJSENSE value)
```
  - getConcurrent
```
public java.lang.Boolean getConcurrent()
```
  - setConcurrent
```
public SolveMilpOptions setConcurrent(java.lang.Boolean value)
```
    Sets the value of parameter 'concurrent': enables the concurrent mode. If enabled, it automatically runs the same problem on each grid node with different parameters. The server default is FALSE.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getDeterministic
```
public java.lang.Boolean getDeterministic()
```
  - setDeterministic
```
public SolveMilpOptions setDeterministic(java.lang.Boolean value)
```
    Sets the value of parameter 'deterministic': enables deterministic mode when concurrent is enabled. The parameter is valid only when the concurrent parameter is specified. If enabled, the solver will always return the same solution for subsequent runs on the same grid. The server default is FALSE.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getPriority
```
public java.lang.Boolean getPriority()
```
  - setPriority
```
public SolveMilpOptions setPriority(java.lang.Boolean value)
```
    Sets the value of parameter 'priority': indicates whether to use specified branching priorities for integer variables. The server default is FALSE.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - getRelObjGap
```
public java.lang.Double getRelObjGap()
```
  - getRelativeObjectiveGap
```
public java.lang.Double getRelativeObjectiveGap()
```
  - setRelObjGap
```
public SolveMilpOptions setRelObjGap(java.lang.Double value)
```
    Sets the value of parameter 'relObjGap': specifies a stopping criterion based on the best integer objective (BestInteger) and the best bound on the objective function value (BestBound). The relative objective gap is equal to the absolute difference of these two values divided by the absolute value of the BestBound. Zero division is avoided by adding 1E-10. The server default is 0.0001.
    
    Parameters:
    
    value - The value
    
    Returns:
    
    The options object
  - setRelativeObjectiveGap
```
public SolveMilpOptions setRelativeObjectiveGap(java.lang.Double value)
```

Class SolveMilpOptions

Nested Class Summary

Nested classes/interfaces inherited from class com.sas.cas.CASActionOptions

Nested classes/interfaces inherited from interface java.util.Map

Field Summary

Fields inherited from class com.sas.cas.CASActionOptions

Constructor Summary

Method Summary

Methods inherited from class com.sas.cas.CASActionOptions

Methods inherited from class java.lang.Object

Methods inherited from interface java.util.Map

Field Detail

ACTION_SET_NAME

ACTION_NAME

KEY_ABSOBJGAP

KEY_ALLCUTS

KEY_CONFLICTSEARCH

KEY_CUTCLIQUE

KEY_CUTFLOWCOVER

KEY_CUTFLOWPATH

KEY_CUTGOMORY

KEY_CUTGUB

KEY_CUTIMPLIED

KEY_CUTKNAPSACK

KEY_CUTLAP

KEY_CUTMILIFTED

KEY_CUTMIR

KEY_CUTMULTICOMMODITY

KEY_CUTSFACTOR

KEY_CUTSTRATEGY

KEY_CUTZEROHALF

KEY_EMPHASIS

KEY_HEURISTICS

KEY_INTTOL

KEY_MAXNODES

KEY_MAXSOLS

KEY_NODESEL

KEY_PROBE

KEY_RESTARTS

KEY_STRONGITER

KEY_STRONGLEN

KEY_SYMMETRY

KEY_TARGET

KEY_VARSEL

KEY_LOGFREQ

KEY_MAXTIME

KEY_NTHREADS

KEY_SCALE

KEY_SEED

KEY_TIMETYPE

KEY_FEASTOL

KEY_LOGLEVEL

KEY_OPTTOL

KEY_PRESOLVER

KEY_PRINTLEVEL

KEY_DECOMP

KEY_DECOMPMASTER

KEY_DECOMPMASTERIP

KEY_DECOMPSUBPROB

KEY_DISTRIBUTED

KEY_DATA

KEY_PRIMALIN

KEY_PRIMALOUT

KEY_DUALOUT

KEY_CUTOFF

KEY_OBJSENSE

KEY_CONCURRENT

KEY_DETERMINISTIC

KEY_PRIORITY

KEY_RELOBJGAP

Constructor Detail

SolveMilpOptions

SolveMilpOptions

Method Detail

getServerDefaultValue

getAbsObjGap

getAbsoluteObjectiveGap

setAbsObjGap

setAbsoluteObjectiveGap

getAllCuts